Ranson, K.J.,
Daughtry, C.S.T.,
Biehl, L.L., and
Bauer, M.E.,
Sun-view angle effects on reflectance factor of corn canopies,
RSE(18), 1985, pp. 147-161.
BibRef
8500
Greenberg, D.P.,
Cohen, M.F.,
Torrance, K.E.,
Radiosity: A Method for Computing Global Illumination,
VC(2), 1986, pp. 291-297.
BibRef
8600
Baum, D.R.,
Wallace, J.R.,
Cohen, M.F.,
Greenberg, D.P.,
The Back-Buffer Algorithm:
An Extension of the Radiosity Method to Dynamic Environments,
VC(2), 1986, pp. 298-306.
BibRef
8600
Cook, R.L.,
Torrance, K.E.,
A Reflectance Model For Computer Graphics,
IU87(1-19).
BibRef
8700
Cohen, M.F.[Michael F.],
Chen, S.E.[Shenchang Eric],
Wallace, J.R.[Jonh R.],
Greenberg, D.P.[Donald P.],
A Progressive Refinement Approach to Fast Radiosity Image Generation,
SIGGraph-88(75-84). August 1988.
Iterative refinement of values.
BibRef
8808
Fournier, A.[Alain],
Gunawan, A.S.[Atjeng S.],
Romanzin, C.[Chris],
Common Illumination Between Real and Computer Generated Scenes,
GI93(254-262).
Render an image using 3D of a scene and a single image. Consider
all as perfectly diffuse.
BibRef
9300
Baribeau, R.,
Rioux, M., and
Godin, G.,
Color Reflectance Modeling Using a Polychromatic Laser Range Sensor,
PAMI(14), No. 2, February 1992, pp. 263-269.
IEEE DOI
See also Correction of Color Information of a 3D Model Using a Range Intensity Image.
BibRef
9202
Kusanagi, M.[Masato],
Terabayashi, K.[Kenji],
Umeda, K.[Kazunori],
Godin, G.[Guy],
Rioux, M.[Marc],
Construction of a 3D Model of Real-world Object Using Range Intensity
Images,
CRV10(317-323).
IEEE DOI
1005
See also Correction of Color Information of a 3D Model Using a Range Intensity Image.
BibRef
Baribeau, R.,
Optimized spectral estimation methods for improved colorimetry with
laser scanning systems,
3DPVT02(400-404).
IEEE DOI
0206
BibRef
Hall, D.E.,
Rushmeier, H.E.,
Improved Explicit Radiosity Method for Calculating
Non-Lambertian Reflections,
VC(9), 1993, pp. 278-288.
BibRef
9300
Tandri, S.,
Yang, Y.H.,
Comparison of Two Shape-from-Shading Algorithms,
PRL(11), 1990, pp. 637-642.
BibRef
9000
Oren, M.,
Nayar, S.K.,
Generalization of the Lambertian Model and Implications for
Machine Vision,
IJCV(14), No. 3, April 1995, pp. 227-251.
Springer DOI
BibRef
9504
And:
Generalization of the Lambertian Model,
DARPA93(1037-1048).
BibRef
And:
Seeing Beyond Lambert's Law,
ECCV94(B:269-280).
Springer DOI
See also Visual Appearance of Matte Surfaces.
BibRef
Nayar, S.K.,
Ikeuchi, K., and
Kanade, T.,
Surface Reflection: Physical and Geometrical Perspectives,
PAMI(13), No. 7, July 1991, pp. 611-634.
IEEE DOI
BibRef
9107
Earlier:
DARPA90(185-212).
An attempt to unify geometric and physical optical properties to
explain surfaces and their appearance. Fairly complete.
BibRef
Kanade, T.,
From a Real Chair to a Negative Chair,
AI(59), No. 1-2, January 1993, pp. 95-101.
Elsevier DOI
BibRef
9301
Ikeuchi, K., and
Sato, K.,
Determining Reflectance Properties of an Object Using Range
and Brightness Images,
PAMI(13), No. 11, November 1991, pp. 1139-1153.
IEEE DOI
BibRef
9111
Earlier:
Determining Reflectance Parameters Using Range and
Brightness Images,
ICCV90(12-20).
IEEE DOI
BibRef
And:
CMU-CS-TR-90-106, February 1990.
Shading from Shape. Almost the inverse of the standard problem.
Recovery of reflectance from isolated object from a single image
and 3D Geometry of the object.
BibRef
Sato, Y.,
Ikeuchi, K.,
Reflectance Analysis for 3D Computer-Graphics Model Generation,
GMIP(58), No. 5, September 1996, pp. 437-451.
9611
BibRef
Earlier:
Reflectance Analysis for 3D Computer Graphics,
CMU-CS-TR-95-146, June 1995.
PS File.
BibRef
Sato, Y.[Yoichi],
Wheeler, M.D.[Mark D.],
Ikeuchi, K.[Katsushi],
Object Shape and Reflectance Modeling from Observation,
SIGGraph-97(379-388). August 1997.
BibRef
9708
And:
MfR01(Chapter II-4).
120 color images and 12 range images to computer
Torrance-Sparrow (
See also Polarization, Direction Distribution, and Off-Specular Peak Phenomena in Light Reflected from Roughened Surfaces. ) parameters.
Recovered parameters for textured objects.
BibRef
Sato, Y.[Yoichi],
Sato, I.[Imari],
Ikeuchi, K.[Katsushi],
3D Shape and Reflectance Morphing,
CMU-CS-TR-96-168, September 1996.
BibRef
9609
Sato, I.[Imari],
Sato, Y.[Yoichi],
Ikeuchi, K.[Katsushi],
Illumination from shadows,
PAMI(25), No. 3, March 2003, pp. 290-300.
IEEE DOI
0301
BibRef
Earlier:
Illumination Distribution from Shadows,
CVPR99(I: 306-312).
IEEE DOI
BibRef
And:
MfR01(Chapter II-7).
Illumination from radiance distribution in shadow cast by known object
onto a known surface.
BibRef
Sato, I.,
Sato, Y.,
Ikeuchi, K.,
Stability Issues in Recovering Illumination Distribution from
Brightness in Shadows,
CVPR01(II:400-407).
IEEE DOI
0110
BibRef
Sato, I.,
Sato, Y.,
Ikeuchi, K.,
Illumination Distribution from Brightness in Shadows: Adaptive
Estimation of Illumination Distribution with Unknown Reflectance Properties in
Shadow Regions,
ICCV99(875-882).
IEEE DOI Recover the BDRF using shadows. Use omnidirectional image and 3D geometryu.
BibRef
9900
Sato, Y.,
Ikeuchi, K.,
Reflectance Analysis Under Solar Illumination,
PBMCV95(SESSION 6)
BibRef
9500
And:
CMU-CS-TR-94-221, December 1994.
PS File.
BibRef
Okabe, T.,
Sato, I.,
Sato, Y.,
Spherical harmonics vs. Haar wavelets:
Basis for Recovering Illumination from Cast Shadows,
CVPR04(I: 50-57).
IEEE DOI
0408
See also Appearance Sampling of Real Objects for Variable Illumination.
BibRef
Thomas, W.,
A 3-Dimensional Model for Calculating Reflection Functions of
Inhomogeneous and Orographically Structured Natural Landscapes,
RSE(59), No. 1, January 1997, pp. 44-63.
9701
BibRef
Moreau, P.,
Ronse, C.,
Generation of Shading-off in Images by Extrapolation of
Lipschitz Functions,
GMIP(58), No. 4, July 1996, pp. 314-333.
9609
For rendering of shading images in graphics, Use Lipschitz functions
since they are defined in Euclidean and Digital spaces.
Graphics.
BibRef
Shekarforoush, H.[Hassan],
Berthod, M.[Marc],
Zerubia, J.B.[Josiane B.],
Werman, M.[Michael],
Sub-pixel Bayesian-Estimation of Albedo and Height,
A
IJCV(19), No. 3, August 1996, pp. 289-300.
Springer DOI
BibRef
9608
Earlier: A1, A2, A3, Only:
Sub-pixel Reconstruction of a Variable Albedo Lambertian Surface,
BMVC95(xx-yy).
PDF File.
9509
Recover high resolution albedo given high resolution height (or vice versa).
BibRef
Tominaga, S.,
Multichannel Vision System for Estimating Surface and
Illumination Functions,
JOSA-A(13), No. 11, November 1996, pp. 2163-2173.
9611
BibRef
Qiu, J.,
Gao, W.,
Lesht, B.M.,
Inverting Optical Reflectance to Estimate Surface /Properties of
Vegetation Canopies,
JRS(19), No. 4, March 10 1998, pp. 641-656.
9803
BibRef
Zaidi, Q.,
Identification of Illuminant and Object Colors:
Heuristic Based Algorithms,
JOSA-A(15), No. 7, July 1998, pp. 1767-1776.
9807
BibRef
Dobson, S.J.,
Lu, K.C.,
Accurate Calculation of the Irradiance of Optical Images,
OptEng(37), No. 10, October 1998, pp. 2768-2771.
9810
BibRef
Wolff, L.B.[Lawrence B.],
Nayar, S.K.[Shree K.],
Oren, M.[Michael],
Improved Diffuse Reflection Models for Computer Vision,
IJCV(30), No. 1, October 1998, pp. 55-71.
DOI Link For shape from shading/reflectance.
BibRef
9810
Koenderink, J.J.[Jan J.],
van Doorn, A.J.[Andrea J.],
Dana, K.J.[Kristin J.],
Nayar, S.K.[Shree K.],
Bidirectional Reflection Distribution Function of Thoroughly Pitted
Surfaces,
IJCV(31), No. 2/3, April 1999, pp. 129-144.
DOI Link
See also 3D Texture Recognition Using Bidirectional Feature Histograms.
BibRef
9904
Koenderink, J.J.,
van Doorn, A.J.,
Bidirectional Reflection Distribution Function Expressed
in Terms of Surface Scattering Modes,
ECCV96(II:28-39).
Springer DOI Scattering characteristics of textured materials.
BibRef
9600
Gong, P.,
Wang, D.X.,
Liang, S.,
Inverting a canopy reflectance model using a neural network,
JRS(20), No. 1, January 1999, pp. 111.
BibRef
9901
Farid, H.[Hany],
Adelson, E.H.[Edward H.],
Separating reflections from images by use of independent component
analysis,
JOSA-A(16), No. 9, September 1999, pp. 2136-2145.
BibRef
9909
Farid, H.[Hany],
Adelson, E.H.[Edward H.],
Separating Reflections and Lighting Using Independent Components
Analysis,
CVPR99(I: 262-267).
IEEE DOI
BibRef
9900
Lucht, W.,
Schaaf, C.B.,
Strahler, A.H.,
An Algorithm for the Retrieval of Albedo from Space Using Semiempirical
BRDF Models,
GeoRS(38), No. 2, March 2000, pp. 977-998.
IEEE Top Reference.
0004
BibRef
Salomon, J.G.,
Schaaf, C.B.[Crystal Barker],
Strahler, A.H.[Alan H.],
Gao, F.,
Jin, Y.,
Validation of the MODIS Bidirectional Reflectance Distribution Function
and Albedo Retrievals Using Combined Observations From the Aqua and
Terra Platforms,
GeoRS(44), No. 6, June 2006, pp. 1555-1565.
IEEE DOI
0606
BibRef
Kim, T.E.[Tae-Eun],
Hong, H.K.[Hyun-Ki],
Choi, J.S.[Jong-Soo],
Estimation of hybrid reflectance properties and shape reconstruction
using the LMS method,
PR(33), No. 1, January 2000, pp. 161-171.
Elsevier DOI
0005
BibRef
Kim, T.E.,
Lee, S.H.,
Ryu, S.H., and
Choi, J.S.,
Shape Recovery of Hybrid Reflectance Surface Using Neural Network,
ICIP97(III: 416-419).
IEEE DOI
BibRef
9700
Kim, T.E.[Tae-Eun],
Choi, J.S.[Jong-Soo],
3-D shape recovery of hybrid reflectance surface using indirect diffuse
illumination,
ICIP95(II: 354-357).
IEEE DOI
9510
BibRef
Ryu, S.H.,
Kim, T.E.,
Choi, J.S.[Jong-Soo],
Shape Reconstruction Using Estimated Surface Reflectance Properties,
ICIP96(I: 29-32).
IEEE DOI
BibRef
9600
Marchant, J.A.[John A.],
Onyango, C.M.[Christine M.],
Shadow-invariant classification for scenes illuminated by daylight,
JOSA-A(17), No. 11, November 2000, pp. 1952-1961.
0011
BibRef
Edirisinghe, A.,
Chapman, G.E.,
Louis, J.P.,
A simplified method for retrieval of ground level reflectance of
targets from airborne video imagery,
JRS(22), No. 5, March 2001, pp. 1127- 1141.
0105
BibRef
Luong, Q.T.[Q. Tuan],
Fua, P.V.[Pascal V.],
Leclerc, Y.G.[Yvan G.],
The Radiometry of Multiple Images,
PAMI(24), No. 1, January 2002, pp. 19-33.
IEEE DOI
0201
Simultaneous recovery of multiple illuminants and albedo given known
geometry and cameras. Similar formulation to shape recovery from
multiple images.
BibRef
Leclerc, Y.G.[Yvan G.],
Luong, Q.T.[Quang-Tuan],
Fua, P.V.[Pascal V.],
Method and system for detecting changes in three dimensional shape,
US_Patent6,963,662, November 8, 2005.
WWW Link.
BibRef
0511
Luong, Q.T.[Q. Tuan],
Fua, P.V.[Pascal V.],
Leclerc, Y.G.[Yvan G.],
Recovery of Reflectances and Varying Illuminants from Multiple Views,
ECCV02(III: 163 ff.).
Springer DOI
0205
BibRef
Combal, B.,
Isaka, H.,
The effect of small topographic variations on reflectance,
GeoRS(40), No. 3, March 2002, pp. 663-670.
IEEE Top Reference.
0206
BibRef
Basri, R.[Ronen],
Jacobs, D.W.[David W.],
Lambertian Reflectance and Linear Subspaces,
PAMI(25), No. 2, February 2003, pp. 218-233.
IEEE DOI
0301
BibRef
Earlier:
ICCV01(II: 383-390).
IEEE DOI
0106
See also What Is the Set of Images of an Object Under All Possible Illumination Conditions. Set of all Lambertian functions with distant light souces lies close to a
9D linear subspace. So it can be approximated by a low dimensional linear
subspace.
Face recognition applications.
BibRef
Liang, S.L.[Shun-Lin],
A direct algorithm for estimating land surface broadband albedos from
MODIS imagery,
GeoRS(41), No. 1, January 2003, pp. 136-145.
IEEE Top Reference.
0304
BibRef
Qu, Y.[Ying],
Liu, Q.A.[Qi-Ang],
Liang, S.L.[Shun-Lin],
Wang, L.Z.[Li-Zhao],
Liu, N.F.[Nan-Feng],
Liu, S.H.[Su-Hong],
Direct-Estimation Algorithm for Mapping Daily Land-Surface Broadband
Albedo From MODIS Data,
GeoRS(52), No. 2, February 2014, pp. 907-919.
IEEE DOI
1402
atmospheric radiation
BibRef
Latifovic, R.,
Cihlar, J.,
Chen, J.[Jing],
A comparison of BRDF models for the normalization of satellite optical
data to a standard sun-target-sensor geometry,
GeoRS(41), No. 8, August 2003, pp. 1889-1898.
IEEE Abstract.
0308
BibRef
Liang, S.L.[Shun-Lin],
Fang, H.L.[Hong-Liang],
Kaul, M.,
van Niel, T.G.,
McVicar, T.R.,
Pearlman, J.S.,
Walthall, C.L.,
Daughtry, C.S.T.,
Huemmrich, K.F.,
Estimation and Validation of Land Surface Broadband Albedos and Leaf
Area Index from EO-1 ALI Data,
GeoRS(41), No. 6, June 2003, pp. 1260-1267.
IEEE Abstract.
0308
BibRef
Moran, M.S.,
Bryant, R.,
Holifield, C.D.,
McElroy, S.,
Refined Empirical Line Approach for Retrieving Surface Reflectance from
EO-1 ALI Images,
GeoRS(41), No. 6, June 2003, pp. 1411-1414.
IEEE Abstract.
0308
BibRef
Zhao, J.L.[Jia-Li],
Su, Y.[Yong],
Wang, D.J.[De-Jun],
Luo, S.W.[Si-Wei],
Illumination Ratio Image:
Synthesizing and Recognition with Varying Illuminations,
PRL(24), No. 15, November 2003, pp. 2703-2710.
Elsevier DOI
0308
BibRef
Viggh, H.E.M.,
Staelin, D.H.,
Spatial surface prior information reflectance estimation (SPIRE)
algorithms,
GeoRS(41), No. 11, November 2003, pp. 2424-2435.
IEEE Abstract.
0311
BibRef
Bryant, R.[Ross],
Qi, J.G.[Jia-Guo],
Moran, M.S.[M. Susan],
Ni, W.M.[Wan-Mei],
Comparison of BRDF models with a fuzzy inference system for correction
of bidirectional effects,
RSE(88), No. 3, December 2003, pp. 221-232.
Elsevier DOI
0401
Bidirectional Reflectance Distribution Function (BDRF).
If a robust estimation is sought, the LMedS method can be adopted for
the robust estimation of a BRDF model parameter.
BibRef
di Girolamo, L.[Larry],
Generalizing the definition of the bi-directional reflectance
distribution function,
RSE(88), No. 4, December 2003, pp. 479-482.
Elsevier DOI
0401
BibRef
Rautiainen, M.[Miina],
Stenberg, P.[Pauline],
Nilson, T.[Tiit],
Kuusk, A.[Andres],
The effect of crown shape on the reflectance of coniferous stands,
RSE(89), No. 1, January 2004, pp. 41-52.
Elsevier DOI
0401
BibRef
Susaki, J.[Junichi],
Hara, K.[Keitarou],
Kajiwara, K.[Koji],
Honda, Y.[Yoshiaki],
Robust estimation of BRDF model parameters,
RSE(89), No. 1, January 2004, pp. 63-71.
Elsevier DOI
0401
BibRef
Osadchy, M.[Margarita],
Keren, D.[Daniel],
Efficient detection under varying illumination conditions and image
plane rotations,
CVIU(93), No. 3, March 2004, pp. 245-259.
Elsevier DOI
0402
BibRef
Earlier:
Image Detection Under Varying Illumination and Pose,
ICCV01(II: 668-673).
IEEE DOI
0106
Detect Lambertian objects. Model illumination variations from a
small set of training examples.
BibRef
Pont, S.C.[Sylvia C.],
Koenderink, J.J.[Jan J.],
Reflectance from locally glossy thoroughly pitted surfaces,
CVIU(98), No. 2, May 2005, pp. 211-222.
Elsevier DOI
0501
Reflectance is linear combination of specular and diffuse.
BibRef
Hara, K.[Kenji],
Nishino, K.[Ko],
Ikeuchi, K.[Katsushi],
Light Source Position and Reflectance Estimation from a Single View
without the Distant Illumination Assumption,
PAMI(27), No. 4, April 2005, pp. 493-505.
IEEE Abstract.
0501
BibRef
Earlier:
Determining reflectance and light position from a single image without
distant illumination assumption,
ICCV03(560-567).
IEEE DOI
0311
See also Mixture of Spherical Distributions for Single-View Relighting.
BibRef
Lombardi, S.[Stephen],
Nishino, K.[Ko],
Reflectance and Illumination Recovery in the Wild,
PAMI(38), No. 1, January 2016, pp. 129-141.
IEEE DOI
1601
BibRef
Earlier:
Reflectance and Natural Illumination from a Single Image,
ECCV12(VI: 582-595).
Springer DOI
1210
Analytical models
BibRef
Hara, K.[Kenji],
Nishino, K.[Ko],
Ikeuchi, K.[Katsushi],
Mixture of Spherical Distributions for Single-View Relighting,
PAMI(30), No. 1, January 2008, pp. 25-35.
IEEE DOI
0711
See also Light Source Position and Reflectance Estimation from a Single View without the Distant Illumination Assumption. Estimating the illumination of a scene and the reflectance property
of an object from single view images.
BibRef
Hara, K.[Kenji],
Nishino, K.[Ko],
Variational estimation of inhomogeneous specular reflectance and
illumination from a single view,
JOSA-A(28), No. 2, February 2011, pp. 136-146.
WWW Link.
1102
BibRef
Earlier:
Illumination and spatially varying specular reflectance from a single
view,
CVPR09(619-626).
IEEE DOI
0906
BibRef
Kawakami, R.[Rei],
Tan, R.T.[Robby T.],
Ikeuchi, K.[Katsushi],
Estimate surface color from changing illumination,
CREST05(100-106).
WWW Link.
0505
BibRef
Ragheb, H.[Hossein],
Hancock, E.R.[Edwin R.],
Testing new variants of the Beckmann-Kirchhoff model against radiance
data,
CVIU(102), No. 2, May 2006, pp. 145-168.
Elsevier DOI
0605
BibRef
Earlier:
Surface radiance: empirical data against model predictions,
ICIP04(IV: 2689-2692).
IEEE DOI
0505
Kirchhoff scattering theory; Rough surface reflectance; Beckmann model;
BRDF data; Scattered radiance; Fresnel coefficient; Subsurface scattering
BibRef
Ragheb, H.,
Robles-Kelly, A.,
Hancock, E.R.,
Testing reflectance models against radiance data,
3DPVT04(880-887).
IEEE DOI
0412
BibRef
Robles-Kelly, A.,
Hancock, E.R.,
Estimating the surface radiance function from single images,
3DPVT04(494-501).
IEEE DOI
0412
BibRef
Mercier, B.[Bruno],
Meneveaux, D.[Daniel],
Fournier, A.[Alain],
A Framework for Automatically Recovering Object Shape, Reflectance and
Light Sources from Calibrated Images,
IJCV(73), No. 1, June 2007, pp. 77-93.
Springer DOI
0702
BibRef
Sato, I.[Imari],
Okabe, T.[Takahiro],
Sato, Y.[Yoichi],
Appearance Sampling of Real Objects for Variable Illumination,
IJCV(75), No. 1, October 2007, pp. 29-48.
Springer DOI
0709
See also Spherical harmonics vs. Haar wavelets: Basis for Recovering Illumination from Cast Shadows.
See also Face Recognition Under Varying Illumination Based on MAP Estimation Incorporating Correlation Between Surface Points.
BibRef
Sato, I.[Imari],
Okabe, T.[Takahiro],
Yu, Q.[Qiong],
Sato, Y.[Yoichi],
Shape Reconstruction Based on Similarity in Radiance Changes under
Varying Illumination,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Sato, I.[Imari],
Okabe, T.[Takahiro],
Sato, Y.[Yoichi],
Ikeuchi, K.[Katsushi],
Using Extended Light Sources for Modeling Object Appearance under
Varying Illumination,
ICCV05(I: 325-332).
IEEE DOI
0510
Extended light source to model.
BibRef
Maeda, K.,
Okabe, T.,
Acquiring multispectral light transport using multi-primary DLP
projector,
IPTA16(1-6)
IEEE DOI
1703
image processing
BibRef
Chandra, K.[Kartik],
Healey, G.[Glenn],
Reflectance recovery for airborne sensor images of 3D scenes,
JOSA-A(24), No. 4, April 2007, pp. 957-966.
WWW Link.
0801
BibRef
Jin, H.L.[Hai-Lin],
Cremers, D.[Daniel],
Wang, D.J.[De-Jun],
Prados, E.[Emmanuel],
Yezzi, A.J.[Anthony J.],
Soatto, S.[Stefano],
3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown
Illumination,
IJCV(76), No. 3, March 2008, pp. 245-256.
Springer DOI
0801
Shape, albedo, and light configuration from multiple images.
See also Estimation of 3D surface shape and smooth radiance from 2D images: A Level Set Approach.
BibRef
Xu, S.,
Wallace, A.M.,
Recovering surface reflectance and multiple light locations and
intensities from image data,
PRL(29), No. 11, 1 August 2008, pp. 1639-1647.
Elsevier DOI
0804
Illuminant estimation; Surface reflectance recovery; Photorealistic rendering
BibRef
Li, S.Y.[Shi-Ying],
Manabe, Y.[Yoshitsugu],
Chihara, K.[Kunihiro],
Accurately estimating reflectance parameters for color and gloss
reproduction,
CVIU(113), No. 2, February 2009, pp. 308-316.
Elsevier DOI
0901
Diffuse reflectance; Specular reflectance; Color reproduction;
Gloss reproduction; Surface roughness; High dynamic range; Spectral image
BibRef
Abed, F.M.[Farhad Moghareh],
Amirshahi, S.H.[Seyed Hossein],
Abed, M.R.M.[Mohammad Reza Moghareh],
Reconstruction of reflectance data using an interpolation technique,
JOSA-A(26), No. 3, March 2009, pp. 613-624.
WWW Link.
0903
BibRef
Biswas, S.[Soma],
Aggarwal, G.[Gaurav],
Chellappa, R.[Rama],
Robust Estimation of Albedo for Illumination-invariant Matching and
Shape Recovery,
PAMI(31), No. 5, May 2009, pp. 884-899.
IEEE DOI
0903
BibRef
Earlier:
ICCV07(1-8).
IEEE DOI
0710
BibRef
Biswas, S.[Soma],
Chellappa, R.[Rama],
Pose-robust albedo estimation from a single image,
CVPR10(2683-2690).
IEEE DOI
1006
BibRef
Stephen, H.,
Ahmad, S.,
Piechota, T.C.,
Land Surface Brightness Temperature Modeling Using Solar Insolation,
GeoRS(48), No. 1, January 2010, pp. 491-498.
IEEE DOI
1001
BibRef
Quaife, T.,
Lewis, P.,
Temporal Constraints on Linear BRDF Model Parameters,
GeoRS(48), No. 5, May 2010, pp. 2445-2450.
IEEE DOI
1006
Bidirectional Reflectance Distribution Function.
BibRef
Ghosh, A.[Abhijeet],
Heidrich, W.[Wolfgang],
Achutha, S.[Shruthi],
O'Toole, M.[Matthew],
A Basis Illumination Approach to BRDF Measurement,
IJCV(90), No. 2, November 2010, pp. 183-197.
WWW Link.
1011
BibRef
Earlier: A1, A3, A2, A4:
BRDF Acquisition with Basis Illumination,
ICCV07(1-8).
IEEE DOI
0710
Award, Marr Prize, HM. bidirectional reflectance distribution functions.
Surface reflectance estimation.
BibRef
Kim, G.Y.[Gang Yeon],
Lee, K.H.[Kwan H.],
A Reflectance Model for Metallic Paints Using a Two-Layer Structure
Surface with Microfacet Distributions,
IEICE(E93-D), No. 11, November 2010, pp. 3076-3087.
WWW Link.
1011
BibRef
Gogineni, S.,
Nehorai, A.,
Compressed Illumination Sensing,
SPLetters(18), No. 10, October 2011, pp. 587-590.
IEEE DOI
1109
Controlling LED illumination.
BibRef
Yu, C.[Chanki],
Seo, Y.D.[Yong-Duek],
Lee, S.W.[Sang Wook],
Global optimization for estimating a multiple-lobe analytical BRDF,
CVIU(115), No. 12, December 2011, pp. 1679-1688.
Elsevier DOI
1111
BibRef
Earlier:
Global optimization for estimating a BRDF with multiple specular lobes,
CVPR10(319-326).
IEEE DOI
1006
BibRef
And:
Photometric Stereo from Maximum Feasible Lambertian Reflections,
ECCV10(IV: 115-126).
Springer DOI
1009
BRDF; Analytical BRDF; Parameter estimation; Branch and bound; Global
optimization
BibRef
Kong, N.,
Tai, Y.W.,
Shin, S.Y.,
High-Quality Reflection Separation Using Polarized Images,
IP(20), No. 12, December 2011, pp. 3393-3405.
IEEE DOI
1112
BibRef
Tan, P.[Ping],
Quan, L.[Long],
Zickler, T.E.[Todd E.],
The Geometry of Reflectance Symmetries,
PAMI(33), No. 12, December 2011, pp. 2506-2520.
IEEE DOI
1110
Exploit reflectance symmetries to develop algorithms for non-Lambertian
environments. Explore in calibrated and uncalibrated photometric stereo.
BibRef
Chen, H.,
Cheng, K.,
A Conceptual Model of Surface Reflectance Estimation for Satellite
Remote Sensing Images Using in situ Reference Data,
RS(4), No. 4, April 2012, pp. 934-949.
DOI Link
1202
BibRef
Machizaud, J.[Jacques],
Hébert, M.[Mathieu],
Spectral reflectance and transmittance prediction model for stacked
transparency and paper both printed with halftone colors,
JOSA-A(29), No. 8, August 2012, pp. 1537-1548.
WWW Link.
1208
BibRef
Hébert, M.[Mathieu],
Machizaud, J.[Jacques],
Spectral reflectance and transmittance of stacks of nonscattering films
printed with halftone colors,
JOSA-A(29), No. 11, November 2012, pp. 2498-2508.
WWW Link.
1211
BibRef
Kim, B.G.[Bog G.],
Han, J.W.[Jeong-Won],
Park, S.B.[Soo-Been],
Spectral reflectivity recovery from the tristimulus values using a
hybrid method,
JOSA-A(29), No. 12, December 2012, pp. 2612-2621.
WWW Link.
1211
BibRef
Flinkman, M.[Mika],
Laamanen, H.[Hannu],
Vahimaa, P.[Pasi],
Hauta-Kasari, M.[Markku],
Number of colors generated by smooth nonfluorescent reflectance spectra,
JOSA-A(29), No. 12, December 2012, pp. 2566-2575.
WWW Link.
1211
BibRef
Flinkman, M.[Mika],
Laamanen, H.[Hannu],
Tuomela, J.[Jukka],
Vahimaa, P.[Pasi],
Hauta-Kasari, M.[Markku],
Eigenvectors of optimal color spectra,
JOSA-A(30), No. 9, September 2013, pp. 1806-1813.
WWW Link.
1309
BibRef
Chakraborty, B.,
Sinha, B.K.,
Estimation of Emissivity with the Help of an Infrared Camera,
Sensors(148), No. 1, January 2013, pp. 66-71.
HTML Version.
1302
BibRef
Shekhovtsov, A.[Alexander],
Hlavác, V.[Václav],
A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and
Push-Relabel,
IJCV(104), No. 3, September 2013, pp. 315-342.
WWW Link.
1308
BibRef
Earlier:
EMMCVPR11(1-16).
Springer DOI
1107
BibRef
Earlier:
Joint Image GMM and Shading MAP Estimation,
ICPR10(1360-1363).
IEEE DOI
1008
BibRef
Rahman, S.[Sejuti],
Robles-Kelly, A.[Antonio],
An optimisation approach to the recovery of reflection parameters
from a single hyperspectral image,
CVIU(117), No. 12, 2013, pp. 1672-1688.
Elsevier DOI
1310
BibRef
And:
A method for estimating light direction, shape, and reflection
parameters from a single image,
ICIP13(2034-2038)
IEEE DOI
1402
BibRef
Earlier:
On the Recovery of Shape and Reflectance from a Single Multispectral
Image,
DICTA11(572-578).
IEEE DOI
1205
Light; reflection parameters; shape.
Hyperspectral imaging
BibRef
Heikkinen, V.[Ville],
Mirhashemi, A.[Arash],
Alho, J.[Juha],
Link functions and Matérn kernel in the estimation of reflectance
spectra from RGB responses,
JOSA-A(30), No. 11, November 2013, pp. 2444-2454.
DOI Link
1311
Image reconstruction techniques
BibRef
Liu, C.[Chao],
Gu, J.W.[Jin-Wei],
Discriminative Illumination: Per-Pixel Classification of Raw
Materials Based on Optimal Projections of Spectral BRDF,
PAMI(36), No. 1, 2014, pp. 86-98.
IEEE DOI
1312
BibRef
Earlier: A2, A1:
CVPR12(797-804).
IEEE DOI
1208
Computational illumination;appearance modeling;material classification
BibRef
Eckhard, T.[Timo],
Valero, E.M.[Eva M.],
Hernandez-Andres, J.[Javier],
Heikkinen, V.[Ville],
Evaluating logarithmic kernel for spectral reflectance
estimation: Effects on model parametrization, training set size, and
number of sensor spectral channels,
JOSA-A(31), No. 3, March 2014, pp. 541-549.
DOI Link
1403
Image reconstruction techniques
BibRef
Jimenez, S.,
Malo, J.,
The Role of Spatial Information in Disentangling the
Irradiance-Reflectance-Transmittance Ambiguity,
GeoRS(52), No. 8, August 2014, pp. 4881-4894.
IEEE DOI
1403
Atmosphere
BibRef
Koa, M.D.[Ming Di],
Johan, H.[Henry],
ESLPV: enhanced subsurface light propagation volumes,
VC(30), No. 6-8, June 2014, pp. 821-831.
WWW Link.
1407
BibRef
Hagege, R.R.[Rami R.],
Scene appearance model based on spatial prediction,
MVA(25), No. 5, July 2014, pp. 1241-1256.
Springer DOI
1407
Varying illumination.
BibRef
Peres, L.F.,
Libonati, R.,
da Camara, C.C.,
Land-Surface Emissivity Retrieval in MSG-SEVIRI TIR Channels Using
MODIS Data,
GeoRS(52), No. 9, September 2014, pp. 5587-5600.
IEEE DOI
1407
atmospheric boundary layer
BibRef
Weyrich, T.[Tim],
Lawrence, J.[Jason],
Lensch, H.P.A.[Hendrik P. A.],
Rusinkiewicz, S.[Szymon],
Zickler, T.E.[Todd E.],
Principles of Appearance Acquisition and Representation,
FTCGV(4), Issue 2, 2008, pp. 75-191.
DOI Link
1410
Published August 2009.
BibRef
Han, S.[Shuai],
Sato, I.[Imari],
Okabe, T.[Takahiro],
Sato, Y.[Yoichi],
Fast Spectral Reflectance Recovery Using DLP Projector,
IJCV(110), No. 1, November 2014, pp. 172-184.
Springer DOI
1411
BibRef
Earlier:
ACCV10(I: 323-335).
Springer DOI
1011
Award, ACCV, Student.
BibRef
Roupioz, L.[Laure],
Nerry, F.[Francoise],
Jia, L.[Li],
Menenti, M.[Massimo],
Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel
Topographic Information,
RS(6), No. 11, 2014, pp. 10356-10374.
DOI Link
1412
BibRef
Qu, Y.[Ying],
Liang, S.L.[Shun-Lin],
Liu, Q.A.[Qi-Ang],
He, T.[Tao],
Liu, S.H.[Su-Hong],
Li, X.W.[Xiao-Wen],
Mapping Surface Broadband Albedo from Satellite Observations:
A Review of Literatures on Algorithms and Products,
RS(7), No. 1, 2015, pp. 990-1020.
DOI Link
1502
BibRef
Luo, T.,
Shen, J.,
Li, X.,
Accurate Normal and Reflectance Recovery Using Energy Optimization,
CirSysVideo(25), No. 2, February 2015, pp. 212-224.
IEEE DOI
1502
Estimation
BibRef
Nagol, J.R.[Jyoteshwar R.],
Sexton, J.O.[Joseph O.],
Kim, D.H.[Do-Hyung],
Anand, A.[Anupam],
Morton, D.[Douglas],
Vermote, E.[Eric],
Townshend, J.R.[John R.],
Bidirectional effects in Landsat reflectance estimates:
Is there a problem to solve?,
PandRS(103), No. 1, 2015, pp. 129-135.
Elsevier DOI
1504
Landsat
BibRef
Zhang, H.[Hu],
Jiao, Z.[Ziti],
Dong, Y.D.[Ya-Dong],
Li, X.W.[Xiao-Wen],
Evaluation of BRDF Archetypes for Representing Surface Reflectance
Anisotropy Using MODIS BRDF Data,
RS(7), No. 6, 2015, pp. 7826.
DOI Link
1507
Association of BRDF with surface reflectance.
BibRef
Strothkamper, C.[Christian],
Hauer, K.O.[Kai-Olaf],
Hope, A.[Andreas],
How to efficiently characterize special effect coatings,
JOSA-A(33), No. 1, January 2016, pp. 1-8.
DOI Link
1601
Metrology
BibRef
Fu, Y.[Ying],
Lam, A.[Antony],
Sato, I.[Imari],
Okabe, T.[Takahiro],
Sato, Y.[Yoichi],
Separating Reflective and Fluorescent Components Using High Frequency
Illumination in the Spectral Domain,
PAMI(38), No. 5, May 2016, pp. 965-978.
IEEE DOI
1604
BibRef
Earlier:
ICCV13(457-464)
IEEE DOI
1403
fluorescence
BibRef
Fu, Y.[Ying],
Lam, A.[Antony],
Sato, I.[Imari],
Okabe, T.[Takahiro],
Sato, Y.[Yoichi],
Reflectance and Fluorescence Spectral Recovery via Actively Lit RGB
Images,
PAMI(38), No. 7, July 2016, pp. 1313-1326.
IEEE DOI
1606
Absorption
BibRef
Fu, Y.[Ying],
Lam, A.[Antony],
Kobashi, Y.[Yasuyuki],
Sato, I.[Imari],
Okabe, T.[Takahiro],
Sato, Y.[Yoichi],
Reflectance and Fluorescent Spectra Recovery Based on Fluorescent
Chromaticity Invariance under Varying Illumination,
CVPR14(2171-2178)
IEEE DOI
1409
BibRef
Lam, A.[Antony],
Subpa-Asa, A.[Art],
Sato, I.[Imari],
Okabe, T.[Takahiro],
Sato, Y.[Yoichi],
Spectral Imaging Using Basis Lights,
BMVC13(xx-yy).
DOI Link
1402
BibRef
Ogawa, T.[Takahiro],
Igarashi, Y.[Yuta],
Haseyama, M.[Miki],
NMF-Based Spectral Reflectance Estimation From Image Pairs Including
Near-Infrared Components,
CirSysVideo(26), No. 5, May 2016, pp. 855-867.
IEEE DOI
1605
BibRef
Earlier: A2, A1, A3:
Spectral reflectance estimation from visible light components and
near-infrared components,
ICIP13(2388-2392)
IEEE DOI
1402
Approximation methods.
Spectral reflectance estimation
BibRef
Heikkinen, V.[Ville],
Camara, C.[Clara],
Hirvonen, T.[Tapani],
Penttinen, N.[Niko],
Spectral imaging using consumer-level devices and kernel-based
regression,
JOSA-A(33), No. 6, June 2016, pp. 1095-1110.
DOI Link
1606
Image reconstruction techniques.
BibRef
Kamilov, U.S.[Ulugbek S.],
Liu, D.H.[De-Hong],
Mansour, H.[Hassan],
Boufounos, P.T.[Petros T.],
A Recursive Born Approach to Nonlinear Inverse Scattering,
SPLetters(23), No. 8, August 2016, pp. 1052-1056.
IEEE DOI
1608
approximation theory
BibRef
Kamilov, U.S.[Ulugbek S.],
Mansour, H.[Hassan],
Wohlberg, B.,
A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse
Problems,
SPLetters(24), No. 12, December 2017, pp. 1872-1876.
IEEE DOI
1712
Computational modeling, Imaging, Inverse problems,
Iterative methods, Mathematical model, Noise measurement,
plug-and-play priors (PPP)
BibRef
Dierl, M.[Marcel],
Eckhard, T.[Timo],
Frei, B.[Bernhard],
Klammer, M.[Maximilian],
Eichstadt, S.[Sascha],
Elster, C.[Clemens],
Improved estimation of reflectance spectra by utilizing prior
knowledge,
JOSA-A(33), No. 7, July 2016, pp. 1370-1376.
DOI Link
1608
Image reconstruction techniques
BibRef
Mettes, P.S.[Pascal S.],
Tan, R.T.[Robby T.],
Veltkamp, R.C.[Remco C.],
Water detection through spatio-temporal invariant descriptors,
CVIU(154), No. 1, 2017, pp. 182-191.
Elsevier DOI
1612
Water detection in video. Reflections.
BibRef
Dal Corso, A.[Alessandro],
Frisvad, J.R.[Jeppe Revall],
Mosegaard, J.[Jesper],
Bærentzen, J.A.[J. Andreas],
Interactive directional subsurface scattering and transport of emergent
light,
VC(33), No. 3, March 2017, pp. 371-383.
Springer DOI
1702
BibRef
Wen, J.G.[Jian-Guang],
Dou, B.C.[Bao-Cheng],
You, D.Q.[Dong-Qin],
Tang, Y.[Yong],
Xiao, Q.[Qing],
Liu, Q.[Qiang],
Qinhuo, L.[Liu],
Forward a Small-Timescale BRDF/Albedo by Multisensor Combined BRDF
Inversion Model,
GeoRS(55), No. 2, February 2017, pp. 683-697.
IEEE DOI
1702
albedo
From 4 sensors.
BibRef
Wang, T.X.[Tian-Xing],
Shi, J.C.[Jian-Cheng],
Husi, L.[Letu],
Zhao, T.J.[Tian-Jie],
Ji, D.[Dabin],
Xiong, C.[Chuan],
Gao, B.[Bo],
Effect of Solar-Cloud-Satellite Geometry on Land Surface Shortwave
Radiation Derived from Remotely Sensed Data,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Pitard, G.[Gilles],
Le Goïc, G.[Gaëtan],
Mansouri, A.[Alamin],
Favrelière, H.[Hugues],
Desage, S.F.[Simon-Frederic],
Samper, S.[Serge],
Pillet, M.[Maurice],
Discrete Modal Decomposition: a new approach for the reflectance
modeling and rendering of real surfaces,
MVA(28), No. 5-6, August 2017, pp. 607-621.
Springer DOI
1708
BibRef
Pitard, G.[Gilles],
Le Goïc, G.[Gaëtan],
Mansouri, A.[Alamin],
Favrelière, H.[Hugues],
Pillet, M.,
George, S.,
Hardeberg, J.Y.,
Reflectance-based surface saliency,
ICIP17(445-449)
IEEE DOI
1803
Estimation, Image reconstruction, Imaging, Rough surfaces, Shape,
Surface reconstruction, DMD, RTI, Saliency, Surface appearance
BibRef
Hui, Z.[Zhuo],
Sankaranarayanan, A.C.,
Shape and Spatially-Varying Reflectance Estimation from Virtual
Exemplars,
PAMI(39), No. 10, October 2017, pp. 2060-2073.
IEEE DOI
1709
BibRef
Earlier:
A Dictionary-Based Approach for Estimating Shape and
Spatially-Varying Reflectance,
ICCP15(1-9)
IEEE DOI
1511
Computational modeling, Estimation, Inverse problems,
Lighting, Optimization, Shape, Photometric stereo,
dictionaries, spatially varying BRDF
BibRef
Okabe, T.[Takaaki],
Okuda, M.[Masahiro],
Computationally Efficient Reflectance Estimation for Hyperspectral
Images,
IEICE(E100-D), No. 9, September 2017, pp. 2253-2256.
WWW Link.
1709
BibRef
Hadwin, P.J.[Paul J.],
Sipkens, T.A.[Timothy A.],
Thomson, K.A.[Kevin A.],
Liu, F.S.[Feng-Shan],
Daun, K.J.[Kyle J.],
Kalman filter approach for uncertainty quantification in
time-resolved laser-induced incandescence,
JOSA-A(35), No. 3, March 2018, pp. 386-396.
DOI Link
1804
Probability theory, stochastic processes, and statistics,
Inverse problems, Spectroscopy
BibRef
Radkevich, A.[Alexander],
A Method of Retrieving BRDF from Surface-Reflected Radiance Using
Decoupling of Atmospheric Radiative Transfer and Surface Reflection,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Georgoulis, S.[Stamatios],
Rematas, K.[Konstantinos],
Ritschel, T.[Tobias],
Gavves, E.,
Fritz, M.[Mario],
Van Gool, L.J.[Luc J.],
Tuytelaars, T.[Tinne],
Reflectance and Natural Illumination from Single-Material Specular
Objects Using Deep Learning,
PAMI(40), No. 8, August 2018, pp. 1932-1947.
IEEE DOI
1807
Lighting, Shape, Training,
Two dimensional displays, Reflectance maps,
specular shading
BibRef
Georgoulis, S.[Stamatios],
Rematas, K.[Konstantinos],
Ritschel, T.[Tobias],
Fritz, M.[Mario],
Tuytelaars, T.[Tinne],
Van Gool, L.J.[Luc J.],
What is Around the Camera?,
ICCV17(5180-5188)
IEEE DOI
1802
From foreground and background, material, lighting, reflections, etc.
cameras, camera, foreground object, learning-based approach,
material properties, multiple reflectance maps,
Shape
BibRef
Zhuravleva, T.[Tatiana],
Nasrtdinov, I.[Ilmir],
Simulation of Bidirectional Reflectance in Broken Clouds: From
Individual Realization to Averaging over an Ensemble of Cloud Fields,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Wierzbicki, D.[Damian],
Kedzierski, M.[Michal],
Fryskowska, A.[Anna],
Jasinski, J.[Janusz],
Quality Assessment of the Bidirectional Reflectance Distribution
Function for NIR Imagery Sequences from UAV,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Mélou, J.[Jean],
Quéau, Y.[Yvain],
Durou, J.D.[Jean-Denis],
Castan, F.[Fabien],
Cremers, D.[Daniel],
Variational Reflectance Estimation from Multi-view Images,
JMIV(60), No. 9, November 2018, pp. 1527-1546.
Springer DOI
1810
BibRef
Zhang, H.[Hu],
Jiao, Z.[Ziti],
Chen, L.[Lei],
Dong, Y.D.[Ya-Dong],
Zhang, X.N.[Xiao-Ning],
Lian, Y.[Yi],
Qian, D.[Da],
Cui, T.J.[Tie-Jun],
Quantifying the Reflectance Anisotropy Effect on Albedo Retrieval
from Remotely Sensed Observations Using Archetypal BRDFs,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Zhang, H.[Hu],
Zhao, M.Z.[Meng-Zhuo],
Jiao, Z.[Ziti],
Lian, Y.[Yi],
Chen, L.[Lei],
Cui, L.[Lei],
Zhang, X.N.[Xiao-Ning],
Liu, Y.[Yan],
Dong, Y.D.[Ya-Dong],
Qian, D.[Da],
Wang, Y.T.[Yi-Ting],
Li, J.[Juan],
Cui, T.J.[Tie-Jun],
Reflectance Anisotropy from MODIS for Albedo Retrieval from a Single
Directional Reflectance,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Cao, C.[Chang],
Lee, X.[Xuhui],
Muhlhausen, J.[Joseph],
Bonneau, L.[Laurent],
Xu, J.[Jiaping],
Measuring Landscape Albedo Using Unmanned Aerial Vehicles,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Verrelst, J.[Jochem],
Caicedo, J.P.R.[Juan Pablo Rivera],
Vicent, J.[Jorge],
Pallarés, P.M.[Pablo Morcillo],
Moreno, J.[José],
Approximating Empirical Surface Reflectance Data through Emulation:
Opportunities for Synthetic Scene Generation,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Stotko, P.[Patrick],
Weinmann, M.[Michael],
Klein, R.[Reinhard],
Albedo estimation for real-time 3D reconstruction using RGB-D and IR
data,
PandRS(150), 2019, pp. 213-225.
Elsevier DOI
1903
Real-time, Reconstruction, Textures, Reflectance,
Image segmentation, Infrared
BibRef
Sukhova, E.[Ekaterina],
Sukhov, V.[Vladimir],
Analysis of Light-Induced Changes in the Photochemical Reflectance
Index (PRI) in Leaves of Pea, Wheat, and Pumpkin Using Pulses of
Green-Yellow Measuring Light,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Sukhov, V.[Vladimir],
Sukhova, E.[Ekaterina],
Khlopkov, A.[Andrey],
Yudina, L.[Lyubov],
Ryabkova, A.[Anastasiia],
Telnykh, A.[Alexander],
Sergeeva, E.[Ekaterina],
Vodeneev, V.[Vladimir],
Turchin, I.[Ilya],
Proximal Imaging of Changes in Photochemical Reflectance Index in
Leaves Based on Using Pulses of Green-Yellow Light,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Castorena, J.,
Computational Mapping of the Ground Reflectivity With Laser Scanners,
IP(28), No. 9, Sep. 2019, pp. 4288-4298.
IEEE DOI
1908
cartography, geophysical image processing, image colour analysis,
image reconstruction, iterative methods,
edge guided reconstruction
BibRef
Hunt, E.R.[E. Raymond],
Stern, A.J.[Alan J.],
Evaluation of Incident Light Sensors on Unmanned Aircraft for
Calculation of Spectral Reflectance,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Zeng, X.Z.[Xiang-Zhao],
Li, C.R.[Chuan-Rong],
The Influence of Heterogeneity on Lunar Irradiance Based on
Multiscale Analysis,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link
1911
BibRef
He, W.W.[Wei-Wei],
Wu, K.[Kuijun],
Feng, Y.[Yutao],
Fu, D.[Di],
Chen, Z.W.[Zhen-Wei],
Li, F.Q.[Fa-Quan],
The Radiative Transfer Characteristics of the O2 Infrared Atmospheric
Band in Limb-Viewing Geometry,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Akhtar, N.[Naveed],
Mian, A.[Ajmal],
Hyperspectral Recovery from RGB Images using Gaussian Processes,
PAMI(42), No. 1, January 2020, pp. 100-113.
IEEE DOI
1912
Hyperspectral imaging, Gaussian processes, Cameras, Training, Color,
spectral recovery.
BibRef
Khan, Z.[Zohaib],
Shafait, F.[Faisal],
Mian, A.[Ajmal],
Adaptive spectral reflectance recovery using spatio-spectral support
from hyperspectral images,
ICIP14(664-668)
IEEE DOI
1502
Computer vision
BibRef
Li, S.[Shuang],
Wang, W.[Weile],
Hashimoto, H.[Hirofumi],
Xiong, J.[Jun],
Vandal, T.[Thomas],
Yao, J.[Jing],
Qian, L.X.[Le-Xiang],
Ichii, K.[Kazuhito],
Lyapustin, A.[Alexei],
Wang, Y.J.[Yu-Jie],
Nemani, R.[Ramakrishna],
First Provisional Land Surface Reflectance Product from Geostationary
Satellite Himawari-8 AHI,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Zhan, C.[Chuan],
Allan, R.P.[Richard P.],
Liang, S.L.[Shun-Lin],
Wang, D.D.[Dong-Dong],
Song, Z.[Zhen],
Evaluation of Five Satellite Top-of-Atmosphere Albedo Products over
Land,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Hao, D.,
Wen, J.,
Xiao, Q.,
You, D.,
Tang, Y.,
An Improved Topography-Coupled Kernel-Driven Model for Land Surface
Anisotropic Reflectance,
GeoRS(58), No. 4, April 2020, pp. 2833-2847.
IEEE DOI
2004
Anisotropic reflectance, composite sloping terrain,
diffuse skylight, kernel-driven model, rugged terrain, topographic effects
BibRef
Fujiwara, H.[Hiroshi],
Sadiq, K.[Kamran],
Tamasan, A.[Alexandru],
Numerical Reconstruction of Radiative Sources in an Absorbing and
Nondiffusing Scattering Medium in Two Dimensions,
SIIMS(13), No. 1, 2020, pp. 535-555.
DOI Link
2004
BibRef
Zhang, G.,
Zhou, H.,
Wang, C.,
Xue, H.,
Wang, J.,
Wan, H.,
Forecasting Time Series Albedo Using NARnet Based on EEMD
Decomposition,
GeoRS(58), No. 5, May 2020, pp. 3544-3557.
IEEE DOI
2005
Albedo, ensemble empirical mode decomposition (EEMD),
nonlinear autoregressive neural network (NARnet), time series
BibRef
Wu, X.,
Wen, J.,
Xiao, Q.,
You, D.,
Upscaling of Single-Site-Based Measurements for Validation of
Long-Term Coarse-Pixel Albedo Products,
GeoRS(58), No. 5, May 2020, pp. 3411-3425.
IEEE DOI
2005
Heterogeneous sites, sparse networks, spatial mismatch, upscaling, validation
BibRef
Wang, Y.[Yang],
Hu, X.Q.[Xiu-Qing],
Chen, L.[Lin],
Huang, Y.[Yu],
Li, Z.F.[Zhan-Feng],
Wang, S.R.[Shu-Rong],
Zhang, P.[Peng],
Wu, R.H.[Rong-Hua],
Zhang, L.[Lu],
Wang, W.[Wei],
Comparison of the Lunar Models Using the Hyper-Spectral Imager
Observations in Lijiang, China,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Xu, X.[Xi],
Asawa, T.[Takashi],
Kobayashi, H.[Hideki],
Narrow-to-Broadband Conversion for Albedo Estimation on Urban
Surfaces by UAV-Based Multispectral Camera,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Yang, J.M.[Jun-Ming],
Yao, Y.J.[Yun-Jun],
Wei, Y.X.[Yong-Xia],
Zhang, Y.[Yuhu],
Jia, K.[Kun],
Zhang, X.T.[Xiao-Tong],
Shang, K.[Ke],
Bei, X.Y.[Xiang-Yi],
Guo, X.Z.[Xiao-Zheng],
A Robust Method for Generating High-Spatiotemporal-Resolution Surface
Reflectance by Fusing MODIS and Landsat Data,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Blasinski, H.[Henryk],
Farrell, J.[Joyce],
Wandell, B.,
Simultaneous Surface Reflectance and Fluorescence Spectra Estimation,
IP(29), 2020, pp. 8791-8804.
IEEE DOI
2009
Estimation, Photonics, Cameras, Optimization, Light sources,
Fluorescence, Reflectance and fluorescence spectra recovery,
inverse problems
BibRef
Blasinski, H.[Henryk],
Breneman, J.[John],
Farrell, J.[Joyce],
A model for estimating spectral properties of water from RGB images,
ICIP14(610-614)
IEEE DOI
1502
Absorption
BibRef
Fujiwara, T.[Takumi],
Takeuchi, W.[Wataru],
Simulation of Sentinel-2 Bottom of Atmosphere Reflectance Using
Shadow Parameters on a Deciduous Forest in Thailand,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link
2010
BibRef
You, D.,
Wen, J.,
Liu, Q.,
Zhang, Y.,
Tang, Y.,
Liu, Q.,
Xie, H.,
The Component-Spectra-Parameterized Angular and Spectral
Kernel-Driven Model: A Potential Solution for Global BRDF/Albedo
Retrieval From Multisensor Satellite Data,
GeoRS(58), No. 12, December 2020, pp. 8674-8688.
IEEE DOI
2012
Soil, Amplitude shift keying, Kernel, Scattering, Vegetation mapping,
Land surface, Data models, Albedo,
multisensor satellite data
BibRef
Li, Y.[Yuan],
Zhang, Y.[Yong],
Rong, Z.G.[Zhi-Guo],
Wang, W.[Wei],
Xie, D.[Dan],
A Novel Microfacet Cosine Linear Kernel-Driven Bidirectional
Reflectance Distribution Function Model,
GeoRS(59), No. 7, July 2021, pp. 5879-5890.
IEEE DOI
2106
Geometry, Radio frequency, Data models, Calibration,
Computational modeling, Azimuth, Satellites,
Ross-Li model
BibRef
Asano, Y.[Yuta],
Zheng, Y.Q.[Yin-Qiang],
Nishino, K.[Ko],
Sato, I.[Imari],
Depth Sensing by Near-Infrared Light Absorption in Water,
PAMI(43), No. 8, August 2021, pp. 2611-2622.
IEEE DOI
2107
BibRef
Earlier:
Shape from Water: Bispectral Light Absorption for Depth Recovery,
ECCV16(VI: 635-649).
Springer DOI
1611
Absorption, Shape, Cameras, Optical surface waves, Surface texture,
Optical imaging, Depth recovery, light absorption, multispectral imaging.
BibRef
Zhang, H.[Hang],
Dana, K.[Kristin],
Nishino, K.[Ko],
Friction from Reflectance: Deep Reflectance Codes for Predicting
Physical Surface Properties from One-Shot In-Field Reflectance,
ECCV16(IV: 808-824).
Springer DOI
1611
BibRef
Wang, Z.[Zhe],
Zhou, H.M.[Hong-Min],
Wan, H.[Huawei],
Wang, Q.[Qian],
Fan, W.R.[Wen-Rui],
Ma, W.[Wu],
Wang, J.[Jindi],
Identifying Spatial and Temporal Characteristics of Land Surface
Albedo Using GF-1 WFV Data,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Hess, M.[Marcel],
Wilhelm, T.[Thorsten],
Wöhler, C.[Christian],
Wohlfarth, K.[Kay],
Uncertainty Introduced by Darkening Agents in the Lunar Regolith:
An Unmixing Perspective,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Zhang, X.N.[Xiao-Ning],
Jiao, Z.[Ziti],
Zhao, C.[Changsen],
Guo, J.[Jing],
Zhu, Z.D.[Zi-Dong],
Liu, Z.G.[Zhi-Gang],
Dong, Y.D.[Ya-Dong],
Yin, S.Y.[Si-Yang],
Zhang, H.[Hu],
Cui, L.[Lei],
Li, S.[Sijie],
Tong, Y.D.[Yi-Dong],
Wang, C.X.[Chen-Xia],
Evaluation of BRDF Information Retrieved from Time-Series Multiangle
Data of the Himawari-8 AHI,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
From single viewing angle, geostationary satellite.
BibRef
Haefner, B.[Bjoern],
Green, S.[Simon],
Oursland, A.[Alan],
Andersen, D.[Daniel],
Goesele, M.[Michael],
Cremers, D.[Daniel],
Newcombe, R.[Richard],
Whelan, T.[Thomas],
Recovering Real-World Reflectance Properties and Shading From HDR
Imagery,
3DV21(1075-1084)
IEEE DOI
2201
Geometry, Reflectivity, Surface reconstruction,
Monte Carlo methods, Lighting, Ray tracing, Appearance, BRDF, Specular,
Shading
BibRef
Li, J.C.[Ji-Chun],
Pang, G.J.[Guo-Jin],
Wang, X.J.[Xue-Jia],
Liu, F.[Fei],
Zhang, Y.T.[Yu-Ting],
Spatiotemporal Dynamics of Land Surface Albedo and Its Influencing
Factors in the Qilian Mountains, Northeastern Tibetan Plateau,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Cao, X.[Xu],
Waechter, M.[Michael],
Shi, B.X.[Bo-Xin],
Gao, Y.[Ye],
Zheng, B.[Bo],
Okura, F.[Fumio],
Matsushita, Y.[Yasuyuki],
Shape and Albedo Recovery by Your Phone using Stereoscopic Flash and
No-Flash Photography,
IJCV(130), No. 6, June 2022, pp. 1403-1415.
Springer DOI
2207
BibRef
Earlier: A1, A2, A3, A4, A5, A7, Only:
Stereoscopic Flash and No-Flash Photography for Shape and Albedo
Recovery,
CVPR20(3427-3436)
IEEE DOI
2008
Shape, Lighting, Cameras, Harmonic analysis, Photography, Robustness
BibRef
Chen, Z.[Zhe],
Nobuhara, S.[Shohei],
Nishino, K.[Ko],
Invertible Neural BRDF for Object Inverse Rendering,
PAMI(44), No. 12, December 2022, pp. 9380-9395.
IEEE DOI
2212
BibRef
Earlier:
ECCV20(V:767-783).
Springer DOI
2011
Lighting, Estimation, Rendering (computer graphics), Geometry,
Computational modeling, Analytical models, Neural networks,
illumination estimation
BibRef
Okawa, H.[Hiroki],
Shimano, M.[Mihoko],
Asano, Y.[Yuta],
Bise, R.[Ryoma],
Nishino, K.[Ko],
Sato, I.[Imari],
Estimation of Wetness and Color from a Single Multispectral Image,
PAMI(44), No. 12, December 2022, pp. 8740-8753.
IEEE DOI
2212
BibRef
Earlier: A2, A1, A3, A4, A5, A6:
Wetness and Color from a Single Multispectral Image,
CVPR17(321-329)
IEEE DOI
1711
Sea surface, Image color analysis, Optical surface waves,
Absorption, Liquids, Light scattering, spectral sharpening.
Absorption, Surface, waves.
BibRef
Claverie, M.[Martin],
Evaluation of surface reflectance bandpass adjustment techniques,
PandRS(198), 2023, pp. 210-222.
Elsevier DOI
2304
Spectral bands, Spectral adjustment,
Relative spectral response (RSR), Surface reflectance, Virtual constellation
BibRef
Tarasenkov, M.V.[Mikhail V.],
Belov, V.V.[Vladimir V.],
Engel, M.V.[Marina V.],
Zimovaya, A.V.[Anna V.],
Zonov, M.N.[Matvei N.],
Bogdanova, A.S.[Alexandra S.],
Algorithm for the Reconstruction of the Ground Surface Reflectance in
the Visible and Near IR Ranges from MODIS Satellite Data with
Allowance for the Influence of Ground Surface Inhomogeneity on the
Adjacency Effect and of Multiple Radiation Reflection,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link
2306
BibRef
Addari, G.[Gianmarco],
Guillemaut, J.Y.[Jean-Yves],
A Family of Approaches for Full 3D Reconstruction of Objects with
Complex Surface Reflectance,
IJCV(131), No. 9, September 2023, pp. 2243-2266.
Springer DOI
2308
BibRef
Zhao, H.J.[Hui-Jie],
Wang, Z.W.[Zi-Wei],
Jia, G.R.[Guo-Rui],
Tian, J.[Jia],
Jin, S.L.[Shu-Liang],
Liang, S.E.[Shun-Eng],
Liu, Y.[Yumeng],
The Impact and Correction of Sensitive Environmental Factors on
Spectral Reflectance Measured In Situ,
RS(15), No. 22, 2023, pp. 5332.
DOI Link
2311
BibRef
Gao, H.L.[Hai-Liang],
Wang, Q.Q.[Qian-Qian],
Gu, X.F.[Xing-Fa],
Yang, J.[Jian],
Liu, Q.Y.[Qi-Yue],
Tao, Z.[Zui],
Qiu, X.C.[Xing-Chen],
Zhang, W.[Wei],
Shi, X.[Xinda],
Zhao, X.F.[Xiao-Fei],
Study on Surface Reflectance Sampling Method and Uncertainty Based on
Airborne Hyperspectral Images,
RS(15), No. 21, 2023, pp. 5090.
DOI Link
2311
BibRef
Yu, Y.[Yao],
Pu, F.L.[Fang-Ling],
Chen, H.J.[Hong-Jia],
Tang, R.[Rui],
Li, J.W.[Jin-Wen],
Xu, X.[Xin],
Night vision self-supervised Reflectance-Aware Depth Estimation based
on reflectance,
JVCIR(97), 2023, pp. 103962.
Elsevier DOI
2312
Monocular depth estimation, Reflectance extraction, Night vision
BibRef
Shrestha, M.[Mahesh],
Mann, J.[Joshua],
Maddox, E.[Emily],
Robbins, T.[Terry],
Irwin, J.[Jeffrey],
Kropuenske, T.[Travis],
Helder, D.[Dennis],
Implementing a Dual-Spectrometer Approach for Improved Surface
Reflectance Estimation,
RS(15), No. 23, 2023, pp. 5451.
DOI Link
2312
BibRef
Ran, Y.H.[Yan-Hong],
Song, S.[Shalei],
Hou, X.[Xiaxia],
Chen, Y.X.[Yu-Xuan],
Chen, Z.W.[Zhen-Wei],
Gong, W.[Wei],
Multi-echo hyperspectral reflectance extraction method based on full
waveform hyperspectral LiDAR,
PandRS(207), 2024, pp. 43-56.
Elsevier DOI
2401
Full waveform hyperspectral LiDAR,
Backscattering cross-sectional area, Multi-echo reflectance, LESS
BibRef
Huo, D.[Dong],
Wang, J.[Jian],
Qian, Y.M.[Yi-Ming],
Yang, Y.H.[Yee-Hong],
Learning to Recover Spectral Reflectance From RGB Images,
IP(33), 2024, pp. 3174-3186.
IEEE DOI Code:
WWW Link.
2405
Reflectivity, Lighting, Task analysis, Image reconstruction,
Training, Testing, Hyperspectral imaging, meta-auxiliary learning
BibRef
Zhu, Q.[Qinyu],
Xu, C.[Can],
Zhao, S.L.[Shuai-Long],
Tao, X.F.[Xue-Feng],
Zhang, Y.S.[Ya-Sheng],
Tao, H.C.[Hai-Cheng],
Wang, X.[Xia],
Fang, Y.Q.[Yu-Qiang],
A Space Object Optical Scattering Characteristics Analysis Model
Based on Augmented Implicit Neural Representation,
RS(16), No. 17, 2024, pp. 3316.
DOI Link
2409
BibRef
Enyo, Y.[Yuto],
Nishino, K.[Ko],
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering
of Illumination and Reflectance,
CVPR24(11873-11883)
IEEE DOI
2410
Reflectivity, Geometry, Accuracy, Computational modeling, Lighting,
Stochastic processes, Rendering (computer graphics),
diffusion model
BibRef
Li, Z.Q.[Zhi-Qiang],
Shen, X.[Xukun],
Zhou, X.[Xueyang],
Hu, Y.[Yong],
Li, B.[Bowen],
Hyper-SNBRDF: Hypernetwork for Neural BRDF Using Sinusoidal
Activation,
3DV24(965-974)
IEEE DOI
2408
Weight measurement, Training, Reflectivity, Image coding,
Anisotropic magnetoresistance, Neural networks, Material, BRDF, BRDF Compression
BibRef
Yamashita, K.[Kohei],
Nobuhara, S.[Shohei],
Nishino, K.[Ko],
DeepShaRM: Multi-View Shape and Reflectance Map Recovery Under
Unknown Lighting,
3DV24(761-769)
IEEE DOI
2408
Reflectivity, Geometry, Shape, Lighting, Estimation, Robustness,
3D Reconstruction, Physics-Based Vision, Inverse Rendering, Reflectance Map
BibRef
Brahimi, M.[Mohammed],
Haefner, B.[Bjoern],
Yenamandra, T.[Tarun],
Goldluecke, B.[Bastian],
Cremers, D.[Daniel],
SupeRVol: Super-Resolution Shape and Reflectance Estimation in
Inverse Volume Rendering,
WACV24(3127-3137)
IEEE DOI
2404
Reflectivity, Training, Geometry, Solid modeling, Shape,
Superresolution, Algorithms, 3D computer vision
BibRef
Zhang, Y.J.[You-Jia],
Xu, T.[Teng],
Yu, J.Q.[Jun-Qing],
Ye, Y.T.[Yu-Teng],
Jing, Y.Q.[Yan-Qing],
Wang, J.[Junle],
Yu, J.Y.[Jing-Yi],
Yang, W.[Wei],
NeMF: Inverse Volume Rendering with Neural Microflake Field,
ICCV23(22862-22872)
IEEE DOI Code:
WWW Link.
2401
Physical attributes of viewd object.
BibRef
Yao, M.[Mingde],
Huang, J.[Jie],
Jin, X.[Xin],
Xu, R.K.[Rui-Kang],
Zhou, S.L.[Sheng-Long],
Zhou, M.[Man],
Xiong, Z.W.[Zhi-Wei],
Generalized Lightness Adaptation with Channel Selective Normalization,
ICCV23(10634-10645)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wu, H.Q.[Hao-Qian],
Hu, Z.P.[Zhi-Peng],
Li, L.[Lincheng],
Zhang, Y.Q.[Yong-Qiang],
Fan, C.J.[Chang-Jie],
Yu, X.[Xin],
NeFII: Inverse Rendering for Reflectance Decomposition with
Near-Field Indirect Illumination,
CVPR23(4295-4304)
IEEE DOI
2309
BibRef
Dai, S.F.[Shu-Fan],
Cao, Y.J.[Yang-Jie],
Duan, P.S.[Peng-Song],
Chen, X.F.[Xian-Fu],
SRes-NeRF: Improved Neural Radiance Fields for Realism and Accuracy of
Specular Reflections,
MMMod23(I: 306-317).
Springer DOI
2304
BibRef
Kizel, F.,
Vidro, Y.,
Bidirectional Reflectance Distribution Function (BRDF) of Mixed Pixels,
ISPRS21(B3-2021: 195-200).
DOI Link
2201
BibRef
Thul, D.,
Tsiminaki, V.,
Ladický, L.[Lubor],
Pollefeys, M.[Marc],
Precomputed Radiance Transfer for Reflectance and Lighting Estimation,
3DV20(1147-1156)
IEEE DOI
2102
Lighting, Reflectivity, Harmonic analysis, Mathematical model,
Geometry, Image color analysis, Surface reconstruction, glossiness
BibRef
Lyu, S.,
Huang, C.,
Hou, M.,
Reflectance Reconstruction of Hyperspectral Image Based on Gaussian
Surface Fitting,
ISPRS20(B3:1365-1369).
DOI Link
2012
BibRef
Boss, M.[Mark],
Braun, R.[Raphael],
Jampani, V.[Varun],
Barron, J.T.[Jonathan T.],
Liu, C.[Ce],
Lensch, H.P.A.[Hendrik P.A.],
NeRD: Neural Reflectance Decomposition from Image Collections,
ICCV21(12664-12674)
IEEE DOI
2203
Reflectivity, Shape, Computational modeling, Lighting,
Rendering (computer graphics),
3D from multiview and other sensors
BibRef
Boss, M.,
Jampani, V.,
Kim, K.,
Lensch, H.P.A.,
Kautz, J.,
Two-Shot Spatially-Varying BRDF and Shape Estimation,
CVPR20(3981-3990)
IEEE DOI
2008
Shape, Estimation, Lighting, Task analysis, Machine learning,
Optimization
BibRef
Schmitt, C.,
Donné, S.,
Riegler, G.,
Koltun, V.,
Geiger, A.,
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld
Scanner,
CVPR20(3490-3500)
IEEE DOI
2008
Geometry, Cameras, Estimation,
Optimization, Surface reconstruction, Image reconstruction
BibRef
Innmann, M.,
Süßmuth, J.,
Stamminger, M.,
BRDF-Reconstruction in Photogrammetry Studio Setups,
WACV20(3346-3354)
IEEE DOI
2006
Lighting, Image reconstruction, Light sources, Geometry, Cameras,
Image color analysis, Pipelines
BibRef
Kaya, B.,
Timofte, R.,
Self-Supervised 2D Image to 3D Shape Translation with Disentangled
Representations,
3DV20(1039-1048)
IEEE DOI
2102
Shape, Image reconstruction, Training,
Image synthesis, Task analysis,
2D to 3D translation
BibRef
Kaya, B.,
Can, Y.B.,
Timofte, R.,
Towards Spectral Estimation from a Single RGB Image in the Wild,
AIM19(3546-3555)
IEEE DOI
2004
cameras, convolutional neural nets, image colour analysis,
image motion analysis, image reconstruction, image sensors,
spectral estimation
BibRef
Tsai, C.Y.[Chia-Yin],
Sankaranarayanan, A.C.[Aswin C.],
Gkioulekas, I.[Ioannis],
Beyond Volumetric Albedo:
A Surface Optimization Framework for Non-Line-Of-Sight Imaging,
CVPR19(1545-1555).
IEEE DOI
2002
BibRef
Berdou, G.,
Shrestha, S.,
Hahn, M.,
Integration of Sentinel-2 and Landsat-8 Data for Surface Reflectance
Time-series Analysis,
SMPR19(205-210).
DOI Link
1912
BibRef
Bode, L.,
Merzbach, S.,
Stotko, P.,
Weinmann, M.,
Klein, R.,
Real-Time Multi-Material Reflectance Reconstruction for Large-Scale
Scenes Under Uncontrolled Illumination from RGB-D Image Sequences,
3DV19(709-718)
IEEE DOI
1911
Lighting, Real-time systems, Image reconstruction, Geometry,
Estimation, Surface reconstruction, Image color analysis,
Spatially Varying Reflectance
BibRef
Lyngby, R.A.[Rasmus Ahrenkiel],
Matthiassen, J.B.[Jannik Boll],
Frisvad, J.R.[Jeppe Revall],
Dahl, A.B.[Anders Bjorholm],
Aanæs, H.[Henrik],
Using a Robotic Arm for Measuring BRDFs,
SCIA19(184-196).
Springer DOI
1906
BibRef
Vidaurre, R.,
Casas, D.,
Garcés, E.,
Lopez-Moreno, J.,
BRDF Estimation of Complex Materials with Nested Learning,
WACV19(1347-1356)
IEEE DOI
1904
image classification, image colour analysis, image resolution,
learning (artificial intelligence), neural nets,
Deep learning
BibRef
Pistellato, M.,
Cosmo, L.,
Bergamasco, F.,
Gasparetto, A.,
Albarelli, A.,
Adaptive Albedo Compensation for Accurate Phase-Shift Coding,
ICPR18(2450-2455)
IEEE DOI
1812
Surface reconstruction, Lasers, Convolution,
Cameras, Image reconstruction, Geometry
BibRef
Aksoy, Y.[Yagiz],
Kim, C.[Changil],
Kellnhofer, P.[Petr],
Paris, S.[Sylvain],
Elgharib, M.[Mohamed],
Pollefeys, M.[Marc],
Matusik, W.[Wojciech],
A Dataset of Flash and Ambient Illumination Pairs from the Crowd,
ECCV18(IX: 644-660).
Springer DOI
1810
Dataset, Illumination.
BibRef
Li, Z.Q.[Zheng-Qin],
Sunkavalli, K.[Kalyan],
Chandraker, M.[Manmohan],
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone
Image,
ECCV18(III: 74-90).
Springer DOI
1810
BibRef
Meder, J.[Julian],
Brüderlin, B.[Beat],
Hemispherical Gaussians for Accurate Light Integration,
ICCVG18(3-15).
Springer DOI
1810
BibRef
Tongbuasirilai, T.[Tanaboon],
Unger, J.[Jonas],
Kurt, M.[Murat],
Efficient BRDF Sampling Using Projected Deviation Vector
Parameterization,
BxDF17(153-158)
IEEE DOI
1802
Cameras, Image reconstruction, Light sources, Shape,
Standards,
BibRef
Stiebel, T.,
Merhof, D.,
The Importance of Smoothness Constraints on Spectral Object
Reflectances when Modeling Metamer Mismatching,
CVPV17(2985-2992)
IEEE DOI
1802
BibRef
Luongo, A.,
Falster, V.,
Doest, M.B.,
Li, D.,
Regi, F.,
Zhang, Y.,
Modeling the Anisotropic Reflectance of a Surface with Microstructure
Engineered to Obtain Visible Contrast After Rotation,
BxDF17(159-165)
IEEE DOI
1802
Microstructure, Optical surface waves, Predictive models,
Rough surfaces, Surface roughness, Surface treatment, Surface waves
BibRef
Hui, Z.,
Sunkavalli, K.,
Lee, J.Y.,
Hadap, S.,
Wang, J.,
Sankaranarayanan, A.C.,
Reflectance Capture Using Univariate Sampling of BRDFs,
ICCV17(5372-5380)
IEEE DOI
1802
cameras, estimation theory, image capture, image reconstruction,
mobile computing, reflectivity, sampling methods,
Shape
BibRef
Gu, J.[Jian],
Chen, H.M.[Hui-Min],
An algorithm of spectral reflectance function reconstruction without
sample training can integrate prior information,
ICIVC17(541-544)
IEEE DOI
1708
Algorithm design and analysis, Cameras, Image color analysis,
Image reconstruction, Ink, Reflectivity, Training, color detection,
prior information, sample training, spectral reflectance reconstruction.
BibRef
Khan, H.A.[Haris Ahmad],
Thomas, J.B.[Jean Baptiste],
Hardeberg, J.Y.[Jon Yngve],
Multispectral Constancy Based on Spectral Adaptation Transform,
SCIA17(II: 459-470).
Springer DOI
1706
BibRef
Le Moan, S.[Steven],
How to predict lightness variations from one illuminant to another?,
ICVNZ16(1-5)
IEEE DOI
1701
Correlation
BibRef
Gkioulekas, I.[Ioannis],
Levin, A.[Anat],
Zickler, T.E.[Todd E.],
An Evaluation of Computational Imaging Techniques for Heterogeneous
Inverse Scattering,
ECCV16(III: 685-701).
Springer DOI
1611
Internal scattering.
BibRef
Georgoulis, S.,
Vanweddingen, V.,
Proesmans, M.,
van Gool, L.J.,
A Gaussian Process Latent Variable Model for BRDF Inference,
ICCV15(3559-3567)
IEEE DOI
1602
Cameras
BibRef
Fyffe, G.,
Debevec, P.,
Single-Shot Reflectance Measurement from Polarized Color Gradient
Illumination,
ICCP15(1-10)
IEEE DOI
1511
albedo
BibRef
Riess, C.[Christian],
Pfaller, S.[Sven],
Angelopoulou, E.[Elli],
Reflectance Normalization in Illumination-Based Image Manipulation
Detection,
BioFor15(3-10).
Springer DOI
1511
BibRef
Haindl, M.[Michal],
Mikeš, S.[Stanislav],
Kudo, M.[Mineichi],
Unsupervised Surface Reflectance Field Multi-Segmenter,
CAIP15(I:261-273).
Springer DOI
1511
BibRef
Filip, J.[Jirí],
Somol, P.[Petr],
Materials Classification Using Sparse Gray-Scale Bidirectional
Reflectance Measurements,
CAIP15(II:289-299).
Springer DOI
1511
BibRef
Weinmann, M.[Michael],
Klein, R.[Reinhard],
Material Recognition for Efficient Acquisition of Geometry and
Reflectance,
CVPV14(321-333).
Springer DOI
1504
BibRef
Miyashita, L.[Leo],
Watanabe, Y.[Yoshihiro],
Ishikawa, M.[Masatoshi],
Rapid SVBRDF Measurement by Algebraic Solution Based on Adaptive
Illumination,
3DV14(232-239)
IEEE DOI
1503
Adaptive systems
BibRef
Weinmann, M.[Michael],
Gall, J.[Juergen],
Klein, R.[Reinhard],
Material Classification Based on Training Data Synthesized Using a BTF
Database,
ECCV14(III: 156-171).
Springer DOI
1408
Synthesize training data for materials under different light and viewing
conditions.
BibRef
Nöll, T.[Tobias],
Köhler, J.[Johannes],
Stricker, D.[Didier],
Robust and Accurate Non-parametric Estimation of Reflectance Using
Basis Decomposition and Correction Functions,
ECCV14(II: 376-391).
Springer DOI
1408
BibRef
Zheng, Y.Q.[Yin-Qiang],
Sato, I.[Imari],
Sato, Y.[Yoichi],
Spectra Estimation of Fluorescent and Reflective Scenes by Using
Ordinary Illuminants,
ECCV14(V: 188-202).
Springer DOI
1408
BibRef
Kobayashi, Y.,
Morimoto, T.,
Sato, I.,
Mukaigawa, Y.,
Ikeuchi, K.,
BRDF Estimation of Structural Color Object by Using Hyper Spectral
Image,
CVPV13(915-922)
IEEE DOI
1403
image colour analysis
BibRef
Yacoob, Y.[Yaser],
Matching Dry to Wet Materials,
ICCV13(2952-2959)
IEEE DOI
1403
Dry surfaces; Wet surfaces; spectral absorption
BibRef
Achar, S.[Supreeth],
Nuske, S.T.[Stephen T.],
Narasimhan, S.G.[Srinivasa G.],
Compensating for Motion during Direct-Global Separation,
ICCV13(1481-1488)
IEEE DOI
1403
direct and global components of radiance.
BibRef
Zhou, P.[Peng],
Yu, L.[Li],
Zhong, G.[Gang],
The non-Lambertian reflection in plenoptic sampling,
ICIP13(2154-2157)
IEEE DOI
1402
BRDF; Phong BRDF; Plenoptic sampling; non-Lambertian; spectrum analysis
BibRef
Iiyama, M.[Masaaki],
Miki, S.[Shohei],
Funatomi, T.[Takuya],
Minoh, M.[Michihiko],
3D Acquisition of Occluded Surfaces from Scattering in Participating
Media,
ICPR14(2095-2100)
IEEE DOI
1412
Cameras
BibRef
Evrenci, D.,
Iiyama, M.,
Funatomi, T.,
Minoh, M.,
Shape and Reflectance from Scattering in Participating Media,
3DV13(183-190)
IEEE DOI
1311
cameras
BibRef
Filip, J.[Jiri],
Vavra, R.[Radomir],
Havlicek, M.[Michal],
Effective Acquisition of Dense Anisotropic BRDF,
ICPR14(2047-2052)
IEEE DOI
1412
Analytical models
BibRef
Filip, J.[Jiri],
Vavra, R.[Radomir],
Haindl, M.[Michal],
Id, P.[Pavel],
Krupika, M.[Mikula],
Havran, V.[Vlastimil],
BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition,
CVPR13(1468-1473)
IEEE DOI
1309
Bidirectional Reflectance Distribution Function: BRDF;
adaptive; measurement; sampling
BibRef
Ali, M.A.[Muhammad Asad],
Sato, I.[Imari],
Okabe, T.[Takahiro],
Sato, Y.[Yoichi],
Toward Efficient Acquisition of BRDFs with Fewer Samples,
ACCV12(IV:54-67).
Springer DOI
1304
Bidirectional Reflectance Distribution Function (BDRF).
BibRef
Komatsu, H.[Hidehiko],
Nishio, A.[Akiko],
Okazawa, G.[Gouki],
Goda, N.[Naokazu],
'Yellow' or 'Gold'?: Neural Processing of Gloss Information,
CCIW13(1-12).
Springer DOI
1304
BibRef
Abe, T.[Takashi],
Okatani, T.[Takayuki],
Deguchi, K.[Koichiro],
Recognizing surface qualities from natural images based on learning to
rank,
ICPR12(3712-3715).
WWW Link.
1302
glossiness and transparency
BibRef
Nurzynska, K.[Karolina],
Haraszczuk, R.[Ryszard],
Detection and Normalization of Blown-out Illumination Areas in
Grey-scale Images,
ISVC12(I: 282-291).
Springer DOI
1209
BibRef
Schwartz, G.,
Nishino, K.,
Visual Material Traits: Recognizing Per-Pixel Material Context,
CVPV13(883-890)
IEEE DOI
1403
image segmentation
BibRef
Lombardi, S.[Stephen],
Nishino, K.[Ko],
Single image multimaterial estimation,
CVPR12(238-245).
IEEE DOI
1208
Reflectance and illumination from a single
image.
BibRef
Jiang, J.[Jun],
Gu, J.W.[Jin-Wei],
Recovering spectral reflectance under commonly available lighting
conditions,
CCD12(1-8).
IEEE DOI
1207
BibRef
Ihrke, I.[Ivo],
Reshetouski, I.[Ilya],
Manakov, A.[Alkhazur],
Tevs, A.[Art],
Wand, M.[Michael],
Seidel, H.P.[Hans-Peter],
A kaleidoscopic approach to surround geometry and reflectance
acquisition,
CCD12(29-36).
IEEE DOI
1207
BibRef
Tomaszewska, A.[Anna],
Stefanowski, K.[Krzysztof],
Real-Time Spherical Harmonics Based Subsurface Scattering,
ICIAR12(I: 402-409).
Springer DOI
1206
BibRef
Xiong, Y.[Ying],
Saenko, K.[Kate],
Darrell, T.J.[Trevor J.],
Zickler, T.E.[Todd E.],
From pixels to physics: Probabilistic color de-rendering,
CVPR12(358-365).
IEEE DOI
1208
BibRef
Owens, T.[Trevor],
Saenko, K.[Kate],
Chakrabarti, A.[Ayan],
Xiong, Y.[Ying],
Zickler, T.E.[Todd E.],
Darrell, T.J.[Trevor J.],
Learning object color models from multi-view constraints,
CVPR11(169-176).
IEEE DOI
1106
BibRef
Jehle, M.[Markus],
Sommer, C.[Christoph],
Jähne, B.[Bernd],
Learning of Optimal Illumination for Material Classification,
DAGM10(563-572).
Springer DOI
1009
BibRef
Hirose, S.[Shun],
Takemura, K.[Kentaro],
Takamatsu, J.[Jun],
Suenaga, T.[Tsuyoshi],
Kawakami, R.[Rei],
Ogasawara, T.[Tsukasa],
Surface color estimation based on inter- and intra-pixel relationships
in outdoor scenes,
CVPR10(271-278).
IEEE DOI
1006
BibRef
Hsieh, S.H.[Sung-Hsien],
Fang, C.W.[Chih-Wei],
Wang, T.H.[Te-Hsun],
Chu, C.H.[Chien-Hung],
Lien, J.J.J.[Jenn-Jier James],
Weighted Map for Reflectance and Shading Separation Using a Single
Image,
ACCV09(III: 85-95).
Springer DOI
0909
BibRef
Li, C.M.[Chun-Ming],
Li, F.[Fang],
Kao, C.Y.[Chiu-Yen],
Xu, C.Y.[Chen-Yang],
Image segmentation with simultaneous illumination and reflectance
estimation: An energy minimization approach,
ICCV09(702-708).
IEEE DOI
0909
BibRef
Kratz, L.[Louis],
Nishino, K.[Ko],
Factorizing Scene Albedo and Depth from a Single Foggy Image,
ICCV09(1701-1708).
IEEE DOI
0909
BibRef
Nishino, K.[Ko],
Directional statistics BRDF model,
ICCV09(476-483).
IEEE DOI
0909
Bidirectional Reflectance Distribution Function
BibRef
Toque, J.A.[Jay Arre],
Sakatoku, Y.J.[Yu-Ji],
Ide-Ektessabi, A.[Ari],
Pigment identification by analytical imaging using multispectral images,
ICIP09(2861-2864).
IEEE DOI
0911
On paintings. Identify Japanese pigments.
BibRef
Moriuchi, Y.[Yusuke],
Tominaga, S.[Shoji],
Horiuchi, T.[Takahiko],
Precise Analysis of Spectral Reflectance Properties of Cosmetic
Foundation,
SCIA09(138-148).
Springer DOI
0906
BibRef
Le Moan, S.[Steven],
Mansouri, A.[Alamin],
Hardeberg, J.Y.[Jon Y.],
Voisin, Y.[Yvon],
A class-separability-based method for multi/hyperspectral image color
visualization,
ICIP10(1321-1324).
IEEE DOI
1009
BibRef
Mansouri, A.[Alamin],
Sliwa, T.[Tadeusz],
Hardeberg, J.Y.[Jon Yngve],
Voisin, Y.[Yvon],
An adaptive-PCA algorithm for reflectance estimation from color images,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Nillius, P.[Peter],
Sullivan, J.[Josephine],
Argyros, A.A.[Antonis A.],
Shading models for illumination and reflectance invariant shape
detectors,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Ben-Ezra, M.[Moshe],
Wang, J.P.[Jia-Ping],
Wilburn, B.[Bennett],
Li, X.Y.[Xiao-Yang],
Ma, L.[Le],
An LED-only BRDF measurement device,
CVPR08(1-8).
IEEE DOI
0806
Acquire Bidirectional Reflectance Distribution Function
BibRef
Yin, X.[Xin],
Cai, K.Y.[Kang-Ying],
Takeda, Y.[Yuki],
Akama, R.[Ryo],
Tanaka, H.T.[Hiromi T.],
Measurement of Reflection Properties in Ancient Japanese Drawing
Ukiyo-e,
ACCV07(I: 779-788).
Springer DOI
0711
Wood block prints. Surface structure of print and paper.
BibRef
Ogier, A.,
Dorval, T.,
Genovesio, A.,
Biased Image Correction Based on Empirical Mode Decomposition,
ICIP07(I: 533-536).
IEEE DOI
0709
Correct for illumination effects.
BibRef
Ortiz, F.[Francisco],
Real-Time Elimination of Brightness in Color Images by MS Diagram and
Mathematical Morphology,
CAIP07(458-465).
Springer DOI
0708
BibRef
Chung, Y.C.[Yun-Chung],
Chang, S.L.[Shyang-Lih],
Wang, J.M.[Jung-Ming],
Chen, S.W.[Sei-Wang],
Interference reflection separation from a single image,
WACV09(1-6).
IEEE DOI
0912
BibRef
Chung, Y.C.[Yun-Chung],
Chang, S.L.[Shyang-Lih],
Cherng, S.[Shen],
Chen, S.W.[Sei-Wang],
Dichromatic Reflection Separation from a Single Image,
EMMCVPR07(225-241).
Springer DOI
0708
BibRef
Dickens, M.P.[Matthew P.],
Hancock, E.R.[Edwin R.],
Estimating Reflectance Functions Using a Cyberware 3030 Scanner,
CAIP07(342-350).
Springer DOI
0708
BibRef
Mukaigawa, Y.[Yasuhiro],
Sumino, K.[Kohei],
Yagi, Y.S.[Yasu-Shi],
Multiplexed Illumination for Measuring BRDF Using an Ellipsoidal Mirror
and a Projector,
ACCV07(II: 246-257).
Springer DOI
0711
BibRef
And:
High-Speed Measurement of BRDF using an Ellipsoidal Mirror and a
Projector,
PROCAMS07(1-8).
IEEE DOI
0706
BibRef
Zeng, H.[Huiwen],
Trussell, H.J.,
Image Analysis Under Varying Illumination,
ICIP06(921-924).
IEEE DOI
0610
BibRef
Agarwal, V.,
Gribok, A.V.,
Koschan, A.F.,
Abidi, M.A.,
Estimating Illumination Chromaticity via Kernel Regression,
ICIP06(981-984).
IEEE DOI
0610
BibRef
Bhalerao, A.H.,
Minimum Entropy Light and Shading Approximation,
BMVC06(I:317).
PDF File.
0609
BibRef
Shen, L.[Li],
Takemura, H.[Haruo],
Spatial Reflectance Recovery under Complex Illumination from Sparse
Images,
CVPR06(II: 1833-1838).
IEEE DOI
0606
BibRef
Zou, X.[Xuan],
Kittler, J.V.[Josef V.],
Messer, K.[Kieron],
Ambient Illumination Variation Removal by Active Near-IR Imaging,
ICB06(19-25).
Springer DOI
0601
BibRef
Diamantaras, K.I.,
Papadimitriou, T.,
Blind Separation of Reflections Using the Image Mixtures Ratio,
ICIP05(II: 1034-1037).
IEEE DOI
0512
BibRef
Miao, X.P.[Xiao-Ping],
Sim, T.,
Ambient Image Recovery and Rendering from Flash Photographs,
ICIP05(II: 1038-1041).
IEEE DOI
0512
BibRef
Toro, J.,
Ziou, D.,
Auclair-Fortier, M.F.,
Recovering the shading image under known illumination,
CRV04(92-96).
IEEE DOI
0408
BibRef
Magnor, M.,
Sensitivity of reflected radiance to surface normal orientation,
ICIP03(III: 717-720).
IEEE DOI
0312
BibRef
Nillius, P.,
Eklundh, J.O.,
Low-dimensional representations of shaded surfaces under varying
illumination,
CVPR03(II: 185-192).
IEEE DOI
0307
How to best represent objects with varying light sources.
Calculate the bases for all configurations of a point plus ambient
light source and two point light sources, as well as from a database
of captured real world illumination.
See also Lambertian Reflectance and Linear Subspaces.
BibRef
Nillius, P.[Peter],
Eklundh, J.O.[Jan-Olof],
Classifying Materials from Their Reflectance Properties,
ECCV04(Vol IV: 366-376).
Springer DOI
0405
Model-based PCA.
BibRef
Nillius, P.,
Eklundh, J.O.,
Phenomenological eigenfunctions for image irradiance,
ICCV03(568-575).
IEEE DOI
0311
BibRef
Park, J.I.[Jong-Il],
Lee, M.H.[Moon-Hyun],
Grossberg, M.D.[Michael D.],
Nayar, S.K.[Shree K.],
Multispectral Imaging Using Multiplexed Illumination,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Grossberg, M.D.[Michael D.],
Nayar, S.K.[Shree K.],
What Can Be Known about the Radiometric Response from Images?,
ECCV02(IV: 189 ff.).
Springer DOI
0205
Analyze ambiguity in standard approach to determine
radiometric response. Recover brightness transfer function for
pair of images.
BibRef
Nakashima, A.[Akiko],
Maki, A.[Atsuto],
Fukui, K.[Kazuhiro],
Constructing Illumination Image Basis from Object Motion,
ECCV02(III: 195 ff.).
Springer DOI
0205
Moving object. Static lighting. To use in generating new views.
BibRef
Fleming, R.W.[Roland W.],
Dror, R.O.[Ron O.],
Adelson, E.H.[Edward H.],
How do Humans Determine Reflectance Properties under Unknown
Illumination?,
MIT AIM-2001-032, October 2001.
WWW Link.
0205
BibRef
Dror, R.O.[Ron O.],
Adelson, E.H.[Edward H.],
Willsky, A.S.[Alan S.],
Recognition of Surface Reflectance Properties from a Single Image under
Unknown Real-World Illumination,
MIT AIM-2001-033, November 2001.
WWW Link.
0205
BibRef
Dror, R.O.[Ron O.],
Surface Reflectance Recognition and Real-World Illumination Statistics,
MIT AI-TRITR-2002-009, October 2002.
WWW Link.
0306
BibRef
Dror, R.O.[Ron O.],
Adelson, E.H.[Edward H.],
Willsky, A.S.[Alan S.],
Surface Reflectance Estimation and Natural Illumination Statistics,
SCTV01(xx-yy).
0106
BibRef
And:
MIT AIM-2001-023, September 2001.
WWW Link.
0205
BibRef
Dror, R.O.[Ron O.],
Leung, T.K.[Thomas K.],
Adelson, E.H.[Edward H.], and
Willsky, A.S.[Alan S.],
Statistics of Real-World Illumination,
CVPR01(II:164-171).
IEEE DOI
0110
Real light sources are complex compared to the models.
BibRef
Bell, M.[Matt],
Freeman, W.T.[William T.],
Learning Local Evidence for Shading and Reflectance,
ICCV01(I: 670-677).
IEEE DOI
0106
BibRef
Tanaka, N.[Norihiro],
Tominaga, S.[Shoji],
Kawai, T.[Toshiyuki],
Estimation of the Torrance-Sparrow Reflection Model from a Single
Multi-band Image,
ICPR00(Vol III: 596-599).
IEEE DOI
0009
BibRef
Chen, H.F.[Hansen F.],
Belhumeur, P.N.[Peter N.],
Jacobs, D.W.[David W.],
In Search of Illumination Invariants,
CVPR00(I: 254-261).
IEEE DOI
0005
Award, CVPR, HM. Applied to Faces
BibRef
Pedersini, F.[Federico],
Piccarreta, L.[Luca],
Sarti, A.[Augusuto],
Tubaro, S.[Stefano],
Estimation of Radiometric Parameters for A Realistic Rendering of 3D
Models,
ICIP99(IV:376-380).
IEEE DOI
BibRef
9900
Tominaga, S.,
Takahashi, E.,
Tanaka, N.,
Parameter Estimation of a Reflection Model from a Multi-Band Image,
PMCVG99(xx-yy).
BibRef
9900
Sato, I.,
Sato, Y.,
Ikeuchi, K.,
Acquiring a Radiance Distribution to Superimpose Virtual Objects
onto a Real Scene,
MVA98(xx-yy).
BibRef
9800
And:
MfR01(Chapter II-6).
BibRef
Angelopoulou, E.[Elli],
Williams, J.P.,
Wolff, L.B.,
A Curvature Based Descriptor Invariant to Pose and Albedo
Derived from Photometric Data,
CVPR97(165-171).
IEEE DOI
9704
From 3 illumination conditions.
BibRef
Manabe, Y.[Yoshitsugu],
Zhen, X.[Xin],
Inokuchi, S.[Seiji],
Estimation of Illuminant Spectral Distribution with
Geometrical Information from Spectral Image,
ICPR98(Vol II: 1464-1466).
IEEE DOI
9808
BibRef
Cozman, F.,
Krotkov, E.,
Depth from Scattering,
CVPR97(801-806).
IEEE DOI
9704
Depth from effects of atmospheric scattering.
BibRef
Love, R.,
Efford, N.D.,
Surface Reflectance Model Estimation from Daylight Illuminated Image
Sequences,
BMVC95(xx-yy).
PDF File.
9509
BibRef
Caillas, C.,
A Physical Approach to Infrared Image Understanding,
BMVC94(xx-yy).
PDF File.
9409
Reflectivity, emissivity from images.
BibRef
Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Land Surface Albedo .