9.4.4 Light Source Detection, Light Source Estimation

Chapter Contents (Back)
Photometric Stereo. Light Source Direction.

Ullman, S.[Shimon],
On Visual Detection of Light Sources,
BioCyber(21), 1976, pp. 205-212. BibRef 7600
And: MIT AI Memo-333, May 1975. BibRef

Ullman, S.[Shimon],
Visual Detection of Light Sources,
MIT-AI79(81-100). BibRef 7900

Pentland, A.P.,
Finding the Illuminant Direction,
JOSA(72), No. 4, April 1982, pp. 448-455. BibRef 8204

Langer, M.S., Zucker, S.W.,
Casting Light on Illumination: A Computational Model and Dimensional Analysis of Sources,
CVIU(65), No. 2, February 1997, pp. 322-335.
DOI Link 9704
BibRef

Langer, M.S.,
When Shadows Become Interreflections,
IJCV(34), No. 2-3, August 1999, pp. 193-204.
DOI Link BibRef 9908

Langer, M.J., Zucker, S.W.,
What Is A Light Source?,
CVPR97(172-178).
IEEE DOI 9704
Award, CVPR. Framework to describe light sources. BibRef

Langer, M.S., Zucker, S.W.,
A Ray-Based Computational Model of Light Sources and Illumination,
PBMCV95(SESSION 4). BibRef 9500
And:
Spatially Varying Illumination: A Computational Model of Converging and Diverging Sources,
ECCV94(B:226-232).
Springer DOI BibRef

Gipsman, D.[Daria], Langer, M.S.[Michael S.],
A Cue to Shading: Elongations near Intensity Maxima,
CRV08(123-128).
IEEE DOI 0805
BibRef

Maki, A.[Atsuto],
Estimation of Illuminant Direction and Surface Reconstruction by Geotensity Constraint,
PRL(21), No. 13-14, December 2000, pp. 1115-1123. 0011
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Earlier: SCIA99(Computer Vision II). BibRef

Maki, A.,
Geotensity Constraint for 3D Surface Reconstruction under Multiple Light Sources,
ECCV00(I: 725-741).
Springer DOI 0003
BibRef

Maki, A.[Atsuto], Watanabe, M.[Mutsumi], Wiles, C.S.[Charles S.],
Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction,
IJCV(48), No. 2, July 2002, pp. 75-90.
DOI Link 0206
BibRef
Earlier: Add A2: Matsuda, N.[Natsuko], ICCV98(1053-1060).
IEEE DOI BibRef

Powell, M.W.[Mark W.], Sarkar, S.[Sudeep], Goldgof, D.[Dmitry],
A Simple Strategy for Calibrating the Geometry of Light Sources,
PAMI(23), No. 9, September 2001, pp. 1022-1027.
IEEE DOI 0110
Location of multiple light sources from images. Use a calibration object with 3 spheres (specular on one side Lambertian on the other) at known relative positions. BibRef

Zhang, Y.F.[Yu-Fei], Yang, Y.H.[Yee-Hong],
Multiple Illuminant Direction Detection with Application to Image Synthesis,
PAMI(23), No. 8, August 2001, pp. 915-920.
IEEE DOI 0109
BibRef
Earlier:
Illuminant Direction Determination for Multiple Light Sources,
CVPR00(I: 269-276).
IEEE DOI 0005
Find critical points -- surface normal is perpendicular to some light source direction. Apply in synthesis to superimpose objects in a real scene. BibRef

Yang, Y.H.[Yee-Hong],
An Experimental Study of Light Source Determination for Computer Graphics,
VI98(271-278). BibRef 9800

Wei, J.[Jie],
Robust recovery of multiple light source based on local light source constant constraint,
PRL(24), No. 1-3, January 2003, pp. 159-172.
Elsevier DOI 0211
BibRef

Wei, J.[Jie],
Numerical sequence matching based on local sum functions,
PRL(31), No. 7, 1 May 2010, pp. 600-608.
Elsevier DOI 1004
Dynamic programming; Edit distance; Pattern recognition; Quantization schemes; Digital libraries BibRef

Bouganis, C.S.[Christos-Savvas], Brookes, M.[Mike],
Multiple Light Source Detection,
PAMI(26), No. 4, April 2004, pp. 509-514.
IEEE Abstract. 0403
V2R. Use Lambertian sphere as a claibration object. Segment regions of single virtual light and subtract from adjacent regions. Compare with:
See also Multiple Illuminant Direction Detection with Application to Image Synthesis. BibRef

Bouganis, C.S.[Christos-Savvas], Brookes, M.[Mike],
Statistical multiple light source detection,
IET-CV(1), No. 2, June 2007, pp. 79-91.
DOI Link 0905
BibRef

Bouganis, C.S., Brookes, M.,
Class-based Multiple Light Detection: An Application to Faces,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Chandran, S.[Sharat], Srivastava, M.P.[Mayur P.],
Irregular, unknown light sources in dynamic global illumination,
IVC(22), No. 14, 1 December 2004, pp. 1203-1210.
Elsevier DOI 0412
BibRef

Kopparapu, S.I.K.[Sun-Il Kumar],
Lighting design for machine vision application,
IVC(24), No. 7, July 2006, pp. 720-726.
Elsevier DOI 0608
Lighting design; Optimal light placement; Simulated annealing BibRef

Simonetti, F.[Francesco], Fleming, M.[Matthew], Marengo, E.A.[Edwin A.],
Illustration of the role of multiple scattering in subwavelength imaging from far-field measurements,
JOSA-A(25), No. 2, February 2008, pp. 292-303.
WWW Link. 0804
BibRef

Lagger, P.[Pascal], Fua, P.[Pascal],
Retrieving multiple light sources in the presence of specular reflections and texture,
CVIU(111), No. 2, August 2008, pp. 207-218.
Elsevier DOI 0808
BibRef
Earlier:
Using Specularities to Recover Multiple Light Sources in the Presence of Texture,
ICPR06(I: 587-590).
IEEE DOI 0609
Specularities; Light sources recovery; Reflection parameters estimation BibRef

Takai, T.[Takeshi], Maki, A.[Atsuto], Niinuma, K.[Koichiro], Matsuyama, T.[Takashi],
Difference sphere: An approach to near light source estimation,
CVIU(113), No. 9, September 2009, pp. 966-978.
Elsevier DOI 0907
BibRef
Earlier: A1, A3, A2, A4: CVPR04(I: 98-105).
IEEE DOI 0408
Difference sphere; Inverse lighting; Near light source; Contour representation; Open scanner BibRef

Lalonde, J.F.[Jean-Franšois], Efros, A.A.[Alexei A.], Narasimhan, S.G.[Srinivasa G.],
Estimating the Natural Illumination Conditions from a Single Outdoor Image,
IJCV(98), No. 2, June 2012, pp. 123-145.
WWW Link. 1204
BibRef
Earlier:
Estimating natural illumination from a single outdoor image,
ICCV09(183-190).
IEEE DOI
WWW Link. 0909
Code, Illumination Estimation. Code:
WWW Link. BibRef

Lalonde, J.F.[Jean-Francois],
Understanding and Recreating Visual Appearance Under Natural Illumination,
CMU-RI-TR-11-01, January, 2011. BibRef 1101 Ph.D.Thesis.
WWW Link. 1202
BibRef

Farkas, A.[Alexandra], Szaz, D.[Denes], Egri, A.[Adam], Blaho, M.[Miklos], Barta, A.[Andras], Nehez, D.[Dora], Bernath, B.[Balazs], Horvath, G.[Gabor],
Accuracy of sun localization in the second step of sky-polarimetric Viking navigation for north determination: a planetarium experiment,
JOSA-A(31), No. 7, July 2014, pp. 1645-1656.
DOI Link 1407
Other topics of general interest BibRef

Koc, E.[Emre], Balcisoy, S.[Selim],
Light Source Estimation in Mobile Augmented Reality Scenes by Using Human Face Geometry,
IEICE(E97-D), No. 8, August 2014, pp. 1974-1982.
WWW Link. 1408
BibRef

Zhang, L., Yan, Q., Liu, Z., Zou, H., Xiao, C.,
Illumination Decomposition for Photograph With Multiple Light Sources,
IP(26), No. 9, September 2017, pp. 4114-4127.
IEEE DOI 1708
image texture, lighting, photography, coarse illumination decomposed image, coarse-to-fine strategy, estimated geometry structure, illumination cues, illumination decomposition, image editing operation, light sources, light-aware illumination optimization model, shadow regions, texture detail, Estimation, Geometry, Image color analysis, Image decomposition, Image reconstruction, Light sources, Lighting, Illumination cues, illumination decomposition, multiple light sources, shadows BibRef

Karaoglu, S., Liu, Y., Gevers, T., Smeulders, A.W.M.,
Point Light Source Position Estimation From RGB-D Images by Learning Surface Attributes,
IP(26), No. 11, November 2017, pp. 5149-5159.
IEEE DOI 1709
geometric surface attributes, photometric surface attributes, point light source position estimation, BibRef

Kán, P.[Peter], Kafumann, H.[Hannes],
DeepLight: light source estimation for augmented reality using deep learning,
VC(35), No. 6-8, June 2018, pp. 873-883.
Springer DOI 1906
BibRef
And: Correction: VC(36), No. 1, January 2020, pp. 229.
WWW Link. 2001
BibRef

Morimoto, C.H.[Carlos H.], Coutinho, F.L.[Flávio L.], Hansen, D.W.[Dan W.],
Screen-Light Decomposition Framework for Point-of-Gaze Estimation Using a Single Uncalibrated Camera and Multiple Light Sources,
JMIV(62), No. 4, May 2020, pp. 585-605.
Springer DOI 2005
BibRef

Lee, H.[Haebom], Homeyer, C.[Christian], Herzog, R.[Robert], Rexilius, J.[Jan], Rother, C.[Carsten],
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences Using Transformer Networks,
IJCV(131), No. 1, January 2023, pp. 1060-1072.
Springer DOI 2303
BibRef
And: Correction: IJCV(131), No. 5, May 2023, pp. 1302-1306.
Springer DOI 2305
BibRef

Fujiwara, H.[Hiroshi], Sadiq, K.[Kamran], Tamasan, A.[Alexandru],
Numerical Reconstruction of Radiative Sources from Partial Boundary Measurements,
SIIMS(16), No. 2, 2023, pp. 948-968.
DOI Link 2306
BibRef


Xing, X.Y.[Xiao-Yan], Feng, S.[Sibo], Qian, Y.L.[Yan-Lin], Dong, Y.H.[Yu-Han],
Dual-Illumination Weighting and Estimation,
ICPR22(119-125)
IEEE DOI 2212
Training, Performance evaluation, Learning systems, Image color analysis, Lighting, Estimation, Generators BibRef

Weber, H.[Henrique], Garon, M.[Mathieu], Lalonde, J.F.[Jean-François],
Editable Indoor Lighting Estimation,
ECCV22(VI:677-692).
Springer DOI 2211
BibRef

Chen, Z.[Zehao], Zheng, Q.[Qian], Niu, P.S.[Pei-Song], Tang, H.[Huajin], Pan, G.[Gang],
Indoor Lighting Estimation using an Event Camera,
CVPR21(14755-14765)
IEEE DOI 2111
Learning systems, Lighting, Estimation, Dynamic range, Cameras, Turning BibRef

Gardner, M., Hold-Geoffroy, Y., Sunkavalli, K., Gagné, C., Lalonde, J.,
Deep Parametric Indoor Lighting Estimation,
ICCV19(7174-7182)
IEEE DOI 2004
computer graphics, image reconstruction, image representation, image sensors, learning (artificial intelligence), lighting, Neural networks BibRef

Kasper, M.[Mike], Heckman, C.[Christoffer],
Multiple Point Light Estimation from Low-Quality 3D Reconstructions,
3DV19(738-746)
IEEE DOI 1911
Light sources, Lighting, Estimation, Computational modeling, Surface reconstruction, Intrinsic Image Decomposition BibRef

Kasper, M.[Mike], Keivan, N.[Nima], Sibley, G.[Gabe], Heckman, C.[Christoffer],
Light Source Estimation in Synthetic Images,
VARVAI16(III: 887-893).
Springer DOI 1611
BibRef

Visentini-Scarzanella, M.[Marco], Kawasaki, H.[Hiroshi],
Simultaneous Camera, Light Position and Radiant Intensity Distribution Calibration,
PSIVT15(557-571).
Springer DOI 1602
BibRef

Einabadi, F.[Farshad], Grau, O.[Oliver],
Discrete Light Source Estimation from Light Probes for Photorealistic Rendering,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Lalonde, J.F.[Jean-Francois], Matthews, I.[Iain],
Lighting Estimation in Outdoor Image Collections,
3DV14(131-138)
IEEE DOI 1503
Cameras BibRef

Park, J.[Jaesik], Sinha, S.N.[Sudipta N.], Matsushita, Y.[Yasuyuki], Tai, Y.W.[Yu-Wing], Kweon, I.S.[In So],
Calibrating a Non-isotropic Near Point Light Source Using a Plane,
CVPR14(2267-2274)
IEEE DOI 1409
Light calibration; near point light; non-isotropic BibRef

Kobayashi, M., Manabe, Y., Yata, N.,
Interactive Estimation of Light Source Position and Reflectance of Real Objects for Mixed-Reality Application,
DICTA13(1-8)
IEEE DOI 1412
augmented reality BibRef

Xie, W.Y.[Wu Yuan], Chung, C.K.R.,
Near surface light source estimation from a single view image,
WORV13(96-101)
IEEE DOI 1307
image reconstruction BibRef

Nguyen, R.M.H.[Rang M.H.], Le, M.N.[Minh Ngoc],
Light source estimation from a single image,
ICARCV12(1358-1363).
IEEE DOI 1304
BibRef

Kato, Y.[Yu], Horiuchi, T.[Takahiko], Tominaga, S.[Shoji],
Estimation of multiple light sources from specular highlights,
ICPR12(2083-2086).
WWW Link. 1302
BibRef

Neverova, N.[Natalia], Muselet, D.[Damien], Trémeau, A.[Alain],
Lighting Estimation in Indoor Environments from Low-Quality Images,
Color12(II: 380-389).
Springer DOI 1210

See also 21/2 D Scene Reconstruction of Indoor Scenes from Single RGB-D Images. BibRef

Garg, R., Indu, S., Chaudhury, S.,
Camera and Light Source Placement: A Multi-Objective Approach,
NCVPRIPG11(187-191).
IEEE DOI 1205
BibRef

Pardel, P.W.[Przemyslaw Wiktor], Wojciechowski, K.[Konrad],
Three Cameras Method of Light Sources Extraction in Augmented Reality,
ICCVG10(II: 183-192).
Springer DOI 1009
BibRef

Schnieders, D.[Dirk], Wong, K.Y.K.[Kwan-Yee K.], Dai, Z.W.[Zhen-Wen],
Polygonal Light Source Estimation,
ACCV09(III: 96-107).
Springer DOI 0909
BibRef

Hara, K.[Kenji], Nishino, K.[Ko], Ikeuchi, K.[Katsushi],
Multiple Light Sources and Reflectance Property Estimation Based on a Mixture of Spherical Distributions,
ICCV05(II: 1627-1634).
IEEE DOI 0510

See also Light Source Position and Reflectance Estimation from a Single View without the Distant Illumination Assumption. BibRef

Nillius, P.[Peter], Eklundh, J.O.[Jan-Olof],
Automatic Estimation of the Projected Light Source Direction,
CVPR01(I:1076-1083).
IEEE DOI 0110
The requirement is that there exists a segment of an occluding contour of an object with locally Lambertian surface reflectance in the image. BibRef

Mann, S., Mann, R.,
Quantigraphic Imaging: Estimating the Camera Response and Exposures from Differently Exposed Images,
CVPR01(I:842-849).
IEEE DOI 0110
BibRef

Klette, R.[Reinhard], Rodehorst, V.[Volker],
Algorithms for shape from shading, lighting direction and motion,
CAIP93(420-427).
Springer DOI 9309
BibRef

Kondo, S., Xu, T., Tanaka, H., Sangwarasil, M., Atsuta, K.,
Shape and Source from Shading Using Zero Crossings,
ICPR92(I:534-537).
IEEE DOI BibRef 9200

Kondo, S., Atsuta, K.,
A Model of Human Estimation of 3D Shape from Shading Information Using Zero Crossings,
ICPR92(I:538-541).
IEEE DOI BibRef 9200

Atsuta, K., Sangworasil, M., Kondo, S.,
A New Method of Estimating Shape from Shading by Using a Constraint at Zero-Crossings of Image Brightness,
ICPR88(II: 666-668).
IEEE DOI BibRef 8800

Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Light Source Direction Computations, Illumination Information, Illuminant .


Last update:Mar 16, 2024 at 20:36:19