9.1.3 Reflectance Computations, Albedo

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

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 .