9.4.4.1 Light Source Direction Computations, Illumination Information, Illuminant

Judd, D., MacAdam, D., and Wyszecki, G.,
Spectral Distribution of Typical Daylight as a Function of Correlated Color Temperature,
JOSA(54), No. 8, 1964, pp. 1031-1040. BibRef 6400

Zheng, Q., and Chellappa, R.,
Estimation of Illuminant Direction, Albedo, and Shape from Shading,
PAMI(13), No. 7, July 1991, pp. 680-702.
IEEE DOI Light Source Direction. BibRef 9107
And: CVPR91(540-545).
IEEE DOI BibRef
Earlier:
A Robust Algorithm for Inferring Shape from a Single Image,
USC_SIPITechnical Report 159, 1990. Minimization Approach. Assume uniform albedo, and a Lambertian surface. Estimate the illumination direction and the albedo. These estimates are used in the method of Frankot above. BibRef

Ward, G.J.[Gregory J.],
Measuing and Modeling Anisotropic Reflection,
SIGGraph-92(265-272), July 1992. Reflectance model. BibRef 9207

Lee, G.C.[George C.], Sun, X.Y.[Xian-Yi],
Determination of ambient light level changes in visual images,
US_Patent5,151,945, Sep 29, 1992
WWW Link. BibRef 9209

Vega, O.E., Yang, Y.H.,
Default Shape Theory: With Application to the Computation of the Direction of the Light Source,
CVGIP(60), No. 3, November 1994, pp. 285-299.
DOI Link BibRef 9411

Gunsay, M., Jeffs, B.D.,
Point-source localization in blurred images by a frequency-domain eigenvector-based method,
IP(4), No. 12, December 1995, pp. 1602-1612.
IEEE DOI 0402
BibRef

Chang, P.R.[Po-Rong], Hsieh, T.H.[Tsung-Hsieh],
Constrained nonlinear optimization approaches to color-signal separation,
IP(4), No. 1, January 1995, pp. 81-94.
IEEE DOI 0402
Separate into illumination and reflectance. BibRef

Kim, C.Y., Petrov, A.P., Choh, H.K., Seo, Y.S., Kweon, I.S.,
Illuminant Direction and Shape of a Bump,
JOSA-A(15), No. 9, September 1998, pp. 2341-2350. 9809
BibRef

Yu, Y., Debevec, P.E.[Paul E.], Malik, J.[Jitendra], Hawkins, T.,
Inverse Global Illumination: Recovering Reflectance Models of Real Scenes from Photographs,
SIGGraph-99(215-224). August 1999. Recover BRDF from set of images. Requires specular highlight. BibRef 9908

Stauder, J.[Juergen],
Point Light Source Estimation from Two Images and Its Limits,
IJCV(36), No. 3, February-March 2000, pp. 195-220.
DOI Link 0003
BibRef

Stauder, J.[Juergen],
Estimation of point light source parameters for object-based coding,
SP:IC(7), No. 4-6, November 1995, pp. 355-379.
Elsevier DOI BibRef 9511

Marengo, E.A.[Edwin A.], Devaney, A.J.[Anthony J.], Ziolkowski, R.W.[Richard W.],
Inverse source problem and minimum-energy sources,
JOSA-A(17), No. 1, January 2000, pp. 34-45. 0002
BibRef

Andersen, H.J.[Hans Jørgen], Granum, E.[Erik],
Classifying the illumination condition from two light sources by color histogram assessment,
JOSA-A(17), No. 4, April 2000, pp. 667-676. 0005
BibRef

Tominaga, S.[Shoji], Ebisui, S.[Satoru], Wandell, B.A.[Brian A.],
Scene illuminant classification: brighter is better,
JOSA-A(18), No. 1, January 2001, pp. 55-64. 0101
BibRef

Tominaga, S.[Shoji], Wandell, B.A.[Brian A.], Tominaga, S., Wandell, B.A.,
Natural scene-illuminant estimation using the sensor correlation,
PIEEE(90), No. 1, January 2002, pp. 42-56.
IEEE DOI 0201
BibRef

Lenz, R.,
Estimation of illumination characteristics,
IP(10), No. 7, July 2001, pp. 1031-1038.
IEEE DOI 0108
BibRef

Lenz, R.[Reiner], Bui, T.H.[Thanh Hai], Hernández Andrés, J.[Javier],
Group Theoretical Structure of Spectral Spaces,
JMIV(23), No. 3, November 2005, pp. 297-313.
Springer DOI 0510

See also Group Theoretic Methods in Image Processing. BibRef

Lenz, R., Bui, T.H.[Thanh Hai], Takase, K.,
A Group Theoretical Toolbox for Color Image Operators,
ICIP05(III: 557-560).
IEEE DOI 0512
BibRef

Lenz, R.[Reiner], Solli, M.[Martin],
Lie Methods in Color Signal Processing: Illumination Effects,
ICPR06(III: 738-741).
IEEE DOI 0609
BibRef

Solli, M.[Martin], Andersson, M.[Mattias], Lenz, R.[Reiner], Kruse, B.[Björn],
Color Measurements with a Consumer Digital Camera Using Spectral Estimation Techniques,
SCIA05(105-114).
Springer DOI 0506
BibRef

Lenz, R.[Reiner],
Crystal Vision: Applications of Point Groups in Computer Vision,
ACCV07(II: 744-753).
Springer DOI 0711
BibRef

Stauder, J.[Jürgen],
An Illumination Effect Descriptor for Video Sequences,
JVCIR(12), No. 3, September 2001, pp. 348-363.
DOI Link 0201
BibRef

Hel-Or, H.Z., Wandell, B.A.,
Object-based illumination classification,
PR(35), No. 8, August 2002, pp. 1723-1732.
Elsevier DOI 0206
BibRef

Chen, M.[Min], Arvo, J.[James],
Analytical Solution for Irradiance Due to Inhomogeneous Lambertian Polygonal Emitters,
JOSA-A(20), No. 5, May 2003, pp. 782-796.
WWW Link. 0307
BibRef

Hernandez Andres, J.[Javier], Nieves, J.L.[Juan L.], Valero, E.M.[Eva M.], Romero, J.[Javier],
Spectral-daylight recovery by use of only a few sensors,
JOSA-A(21), No. 1, January 2004, pp. 13-23.
WWW Link. 0401
Linear models to recover spectral daylight with the response of no more than a few real sensors. BibRef

Perkins, K.R.[Kenneth R.], Schirillo, J.A.[James A.],
Three-dimensional spatial grouping affects estimates of the illuminant,
JOSA-A(20), No. 12, December 2003, pp. 2246-2253.
WWW Link. 0401
Human vision effects. BibRef

Weber, M.[Martin], Blake, A.[Andrew], Cipolla, R.[Roberto],
Towards a Complete Dense Geometric and Photometric Reconstruction under Varying Pose and Illumination,
IVC(22), No. 10, 1 September 2004, pp. 787-793.
Elsevier DOI 0409
BibRef
Earlier: BMVC02(Reconstruction). 0208
BibRef
Earlier: A1, A3, Only:
A Practical Method for Estimation of Point Light-Sources,
BMVC01(Poster Session 2. and Demonstrations).
HTML Version. University of Cambridge 0110
BibRef

Tan, R.T.[Robby T.], Nishino, K.[Ko], Ikeuchi, K.[Katsushi],
Color Constancy through Inverse-Intensity Chromaticity Space,
JOSA-A(21), No. 3, March 2004, pp. 321-334.
WWW Link. 0409
BibRef
And: DACO08(323-352). 0812
BibRef
Earlier:
Illumination chromaticity estimation using inverse-intensity chromaticity space,
CVPR03(I: 673-680).
IEEE DOI 0307
BibRef

Tan, R.T.[Robby T.], Nishino, K.[Ko], Ikeuchi, K.[Katsushi],
Separating Reflection Components Based on Chromaticity and Noise Analysis,
PAMI(26), No. 10, October 2004, pp. 1373-1379.
IEEE Abstract. 0409
Separate specular and diffuse reflections based on distribution in 2-D chromaticity-intensity space. BibRef

Tan, R.T.[Robby T.], Ikeuchi, K.[Katsushi],
Separating Reflection Components of Textured Surfaces Using a Single Image,
PAMI(27), No. 2, February 2005, pp. 178-193.
IEEE Abstract. 0501
BibRef
And: DACO08(353-384). 0812
BibRef
Earlier: ICCV03(870-877).
IEEE DOI 0311
BibRef
And:
Iterative Framework for Separating Reflection Components of Textured Surface using a Single Image,
CREST03(67-81). 0309
Based on color, chromaticity. Iteratively compare the intensity logarithmic differentation of an input image with its specula-free image. BibRef

Tan, R.T.[Robby T.], Ikeuchi, K.[Katsushi],
Reflection Components Decomposition of Textured Surfaces Using Linear Basis Functions,
CVPR05(I: 125-131).
IEEE DOI 0507
BibRef

Ikari, A.[Akifumi], Tan, R.T.[Robby T.],
Spectral Scene Separating: Illumination distribution and Surface Spectral reflectance,
CREST05(107-115).
WWW Link. 0505
BibRef

Finlayson, G.D., Hordley, S.D., Tastl, I.,
Gamut Constrained Illuminant Estimation,
IJCV(67), No. 1, April 2006, pp. 93-109.
Springer DOI 0604
BibRef
Earlier: ICCV03(792-799).
IEEE DOI 0311
BibRef

Kim, T.[Taeone], Hong, K.S.[Ki-Sang],
A practical approach for estimating illumination distribution from shadows using a single image,
IJIST(15), No. 2, 2005, pp. 143-154.
DOI Link 0507
BibRef
Earlier:
A Practical Single Image Based Approach for Estimating Illumination Distribution from Shadows,
ICCV05(I: 266-271).
IEEE DOI 0510
BibRef

Cao, X.C.[Xiao-Chun], Foroosh, H.[Hassan],
Camera calibration and light source orientation from solar shadows,
CVIU(105), No. 1, January 2007, pp. 60-72.
Elsevier DOI 0701
Camera calibration; Solar shadow; Light source orientation estimation; Planar homology BibRef

Cao, X.C.[Xiao-Chun], Shah, M.[Mubarak],
Camera Calibration and Light Source Estimation from Images with Shadows,
CVPR05(II: 918-923).
IEEE DOI 0507
BibRef

Junejo, I.N.[Imran N.], Foroosh, H.[Hassan],
GPS coordinates estimation and camera calibration from solar shadows,
CVIU(114), No. 9, September 2010, pp. 991-1003.
Elsevier DOI 1008
Camera calibration; Camera geo-location; Computer vision BibRef

Toro, J., Funt, B.V.,
A Multilinear Constraint on Dichromatic Planes for Illumination Estimation,
IP(16), No. 1, January 2007, pp. 92-97.
IEEE DOI 0701
BibRef
Earlier:
Illumination Estimation Using a Multilinear Constraint on Dichromatic Planes,
BMVC05(xx-yy).
HTML Version. 0509
Multiple constraints due to multiple surfaces. BibRef

Wang, N.[Ning], Funt, B.V.[Brian V.], Lang, C.Y.[Cong-Yan], Xu, D.[De],
Video-Based Illumination Estimation,
CCIW11(188-198).
Springer DOI 1104
BibRef

Shi, L.L.[Li-Long], Xiong, W.H.[Wei-Hua], Funt, B.V.[Brian V.],
Illumination estimation via thin-plate spline interpolation,
JOSA-A(28), No. 5, May 2011, pp. 940-948.
WWW Link. 1105
BibRef

Li, B.[Bing], Xiong, W.H.[Wei-Hua], Hu, W.M.[Wei-Ming], Funt, B.V.[Brian V.], Xing, J.L.[Jun-Liang],
Multi-Cue Illumination Estimation via a Tree-Structured Group Joint Sparse Representation,
IJCV(117), No. 1, March 2016, pp. 21-47.
Springer DOI 1604
BibRef

Toro, J.[Javier],
Dichromatic illumination estimation without pre-segmentation,
PRL(29), No. 7, 1 May 2008, pp. 871-877.
Elsevier DOI 0804
Color constancy; Physics-based vision; Dichromatic reflection model BibRef

Schechner, Y.Y.[Yoav Y.], Nayar, S.K.[Shree K.], Belhumeur, P.N.[Peter N.],
Multiplexing for Optimal Lighting,
PAMI(29), No. 8, August 2007, pp. 1339-1354.
IEEE DOI 0707
BibRef
Earlier:
A theory of multiplexed illumination,
ICCV03(808-815).
IEEE DOI 0311
Multiple lights, demultiplex the lights, for specular objects. BibRef

Ratner, N.[Netanel], Schechner, Y.Y.[Yoav Y.],
Illumination Multiplexing within Fundamental Limits,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Zhou, W.[Wei], Kambhamettu, C.[Chandra],
A Unified Framework for Scene Illuminant Estimation,
IVC(26), No. 3, 3 March 2008, pp. 415-429.
Elsevier DOI 0801
BibRef
Earlier: BMVC04(xx-yy).
HTML Version. 0508
Light source estimation; Illumination; Ray tracing; Source type determination BibRef

Mukaigawa, Y.[Yasuhiro], Ishii, Y.[Yasunori], Shakunaga, T.[Takeshi],
Analysis of photometric factors based on photometric linearization,
JOSA-A(24), No. 10, October 2007, pp. 3326-3334.
WWW Link. 0801
BibRef
Earlier:
Classification of Photometric Factors Based on Photometric Linearization,
ACCV06(II:613-622).
Springer DOI 0601
BibRef

Migita, T.[Tsuyoshi], Sogawa, K.[Kazuhiro], Shakunaga, T.[Takeshi],
Specular-Free Residual Minimization for Photometric Stereo with Unknown Light Sources,
PSIVT11(I: 178-189).
Springer DOI 1111
BibRef

López-Álvarez, M.A.[Miguel A.], Hernández-Andrés, J.[Javier], Valero, E.M.[Eva M.], Romero, J.[Javier],
Selecting algorithms, sensors, and linear bases for optimum spectral recovery of skylight,
JOSA-A(24), No. 4, April 2007, pp. 942-956.
WWW Link. 0801
BibRef

Cheng, Y.K.[Yi-Kai], Wang, M.H.[Meng-Hua], Chern, J.L.[Jyh-Long],
Irradiance formations of on-axis Lambertian pointlike sources in polygonal total-internal-reflection straight light pipes,
JOSA-A(24), No. 9, September 2007, pp. 2748-2757.
WWW Link. 0801
BibRef

Wang, Y.[Yang], Samaras, D.[Dimitris],
Estimation of multiple directional illuminants from a single image,
IVC(26), No. 9, 1 September 2008, pp. 1179-1195.
Elsevier DOI 0806
Reflectance; Illumination BibRef

Wang, Y.[Yang], Samaras, D.[Dimitris],
Multiple Illuminant Estimation,
CV-Online2002.
HTML Version. BibRef 0200

Serra, M.[Marc], Penacchio, O.[Olivier], Benavente, R.[Robert], Vanrell, M.[Maria], Samaras, D.[Dimitris],
The Photometry of Intrinsic Images,
CVPR14(1494-1501)
IEEE DOI 1409
Illuminant; Intrinsic; Photometry; Sensors BibRef

Xu, Y.L.[Yi-Lei], Roy-Chowdhury, A.K.[Amit K.],
Inverse Compositional Estimation of 3D Pose And Lighting in Dynamic Scenes,
PAMI(30), No. 7, July 2008, pp. 1300-1307.
IEEE DOI 0806
BibRef
Earlier:
Modeling Time-Varying Illumination Patterns in Video,
ICIP07(II: 105-108).
IEEE DOI 0709
BibRef
Earlier:
The Joint Illumination and Motion Space of Video Sequences,
ICIP05(II: 1310-1313).
IEEE DOI 0512
The set of all Lambertian reflectance functions obtained with arbitrarily distant light sources lies close to a 9D linear subspace. Estimate 3-D rigid motion and time varying illumination. BibRef

Xu, Y.L.[Yi-Lei], Roy-Chowdhury, A.K.[Amit K.], Patel, K.[Keyur],
Pose and Illumination Invariant Face Recognition in Video,
Biometrics07(1-7).
IEEE DOI 0706
BibRef

Liu, Y.L.[Yan-Li], Qin, X.Y.[Xue-Ying], Xu, S.H.[Song-Hua], Nakamae, E.[Eihachiro], Peng, Q.S.[Qun-Sheng],
Light source estimation of outdoor scenes for mixed reality,
VC(25), No. 5-7, May 2009, pp. xx-yy.
Springer DOI 0905

See also Fast Rendering Water Surface For Outdoor Scenes.
See also Overview Of Photo-realism For Outdoor Scenes, An. BibRef

Chow, C.K.[Chi Kin], Yuen, S.Y.[Shiu Yin],
Illumination direction estimation for augmented reality using a surface input real valued output regression network,
PR(43), No. 4, April 2010, pp. 1700-1716.
Elsevier DOI 1002
Illuminant direction estimation; Surface input pattern; Neural network with functions as input BibRef

Jacobs, K.[Katrien], Nielsen, A.H.[Anders Hjorth], Vesterbaek, J.[Jeppe], Loscos, C.[Celine],
Coherent radiance capture of scenes under changing illumination conditions for relighting applications,
VC(26), No. 3, March 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Chow, C.K.[Chi Kin], Yuen, S.Y.[Shiu Yin],
A solution to illumination direction estimation of a shaded image: Genetic algorithm,
IVC(28), No. 12, December 2010, pp. 1717-1730.
Elsevier DOI 1003
Illumination direction estimation; Shape from shading; Fast marching method; Genetic algorithm BibRef

Yang, Q.X.[Qing-Xiong], Wang, S., Ahuja, N.[Narendra], Yang, R.,
A Uniform Framework for Estimating Illumination Chromaticity, Correspondence, and Specular Reflection,
IP(20), No. 1, January 2011, pp. 53-63.
IEEE DOI 1101
BibRef

Uchikawa, K.[Keiji], Fukuda, K.[Kazuho], Kitazawa, Y.[Yusuke], MacLeod, D.I.A.[Donald I. A.],
Estimating illuminant color based on luminance balance of surfaces,
JOSA-A(29), No. 2, February 2012, pp. A133-A143.
WWW Link. 1202
BibRef

Wang, L.[Lili], Yang, Z.[Zheng], Ma, Z.Q.[Zhi-Qiang], Zhao, Q.P.[Qin-Ping],
Approximating global illumination on mesostructure surfaces with height gradient maps,
VC(27), No. 4, April 2011, pp. 329-339.
WWW Link. 1204
BibRef

Peyvandi, S.[Shahram], Amirshahi, S.H.[Seyed Hossein], Hernández-Andrés, J.[Javier], Nieves, J.L.[Juan Luis], Romero, J.[Javier],
Spectral recovery of outdoor illumination by an extension of the Bayesian inverse approach to the Gaussian mixture model,
JOSA-A(29), No. 10, October 2012, pp. 2181-2189.
WWW Link. 1210
BibRef

Badawi, W.K.M., Chibelushi, C.C., Patwary, M.N., Moniri, M.,
Specular-based illumination estimation using blind signal separation techniques,
IET-IPR(6), No. 8, 2012, pp. 1181-1191.
DOI Link 1302
BibRef

Hsieh, H.Y., Chen, N.,
Recognising daytime and nighttime driving images using bayes classifier,
IET-ITS(6), No. 4, 2012, pp. 482-493.
DOI Link 1302
for driver assistance BibRef

Logvinenko, A.D.[Alexander D.],
Object-Colour Manifold,
IJCV(101), No. 1, January 2013, pp. 143-160.
WWW Link. 1302
Two lights are metameric if they have the same tri-stimulus value BibRef

Hubenthal, M.,
Numerical Recovery of Source Singularities via the Radiative Transfer Equation with Partial Data,
SIIMS(6), No. 3, 2013, pp. 1175-1198.
DOI Link 1310
BibRef

Beigpour, S.[Shida], Riess, C., van de Weijer, J., Angelopoulou, E.,
Multi-Illuminant Estimation With Conditional Random Fields,
IP(23), No. 1, January 2014, pp. 83-96.
IEEE DOI 1402
image colour analysis BibRef

Beigpour, S., Serra, M., van de Weijer, J., Benavente, R., Vanrell, M., Penacchio, O., Samaras, D.,
Intrinsic image evaluation on synthetic complex scenes,
ICIP13(285-289)
IEEE DOI 1402
Accuracy. illuminant, shading, and reflectance intrinsic images. BibRef

Beigpour, S.[Shida], Ha, M.L.[Mai Lan], Kunz, S.[Sven], Kolb, A.[Andreas], Blanz, V.[Volker],
Multi-view Multi-illuminant Intrinsic Dataset,
BMVC16(xx-yy).
HTML Version. 1805
BibRef
Earlier: A1, A4, A3, Only:
A Comprehensive Multi-Illuminant Dataset for Benchmarking of the Intrinsic Image Algorithms,
ICCV15(172-180)
IEEE DOI 1602
Cameras BibRef

Buzzelli, M., van de Weijer, J., Schettini, R.,
Learning Illuminant Estimation from Object Recognition,
ICIP18(3234-3238)
IEEE DOI 1809
Image color analysis, Estimation, Object recognition, Training, Task analysis, Machine learning, Standards, Illuminant estimation, convolutional neural networks BibRef

Gu, L.[Lin], Huynh, C.P., Robles-Kelly, A.,
Segmentation and Estimation of Spatially Varying Illumination,
IP(23), No. 8, August 2014, pp. 3478-3489.
IEEE DOI 1408
image colour analysis BibRef

Liu, Y.[Yang], Gevers, T., Li, X.Q.[Xue-Qing],
Estimation of Sunlight Direction Using 3D Object Models,
IP(24), No. 3, March 2015, pp. 932-942.
IEEE DOI 1502
feature extraction BibRef

Si, W.[Wa], Pan, X.[Xun], Ogai, H.[Harutoshi], Hirai, K.[Katsumi], Yamauchi, N.[Noriyoshi], Li, T.[Tansheng],
Illumination Modeling Method for Office Lighting Control by Using RBFNN,
IEICE(E97-D), No. 12, December 2014, pp. 3192-3200.
WWW Link. 1503
BibRef

Si, W.[Wa], Pan, X.[Xun], Ogai, H.[Harutoshi], Hirai, K.[Katsumi],
A Novel Lambertian-RBFNN for Office Light Modeling,
IEICE(E99-D), No. 7, July 2016, pp. 1742-1752.
WWW Link. 1608
BibRef

Zhao, W.Y.[Wen-Yong], Zheng, Y.[Yuan], Wang, L.[Lu], Peng, S.[Silong],
Lighting estimation of a convex Lambertian object using weighted spherical harmonic frames,
SIViP(9), No. 1, January 2015, pp. 57-75.
WWW Link. 1503
BibRef

Lai, Y.C.[Yu-Chi], Chou, H.T.[Hsuan-Ting], Chen, K.W.[Kuo-Wei], Fan, S.H.[Shao-Hua],
Robust and efficient adaptive direct lighting estimation,
VC(31), No. 1, January 2015, pp. 83-91.
WWW Link. 1503
BibRef

Mazin, B.[Baptiste], Delon, J.[Julie], Gousseau, Y.[Yann],
Estimation of Illuminants From Projections on the Planckian Locus,
IP(24), No. 6, June 2015, pp. 1944-1955.
IEEE DOI 1504
BibRef
Earlier:
Illuminant Estimation from Projections on the Planckian Locus,
Color12(II: 370-379).
Springer DOI 1210
Approximation methods BibRef

Logvinenko, A.D., Demidenko, E.,
On Counting Metamers,
IP(25), No. 2, February 2016, pp. 770-775.
IEEE DOI 1601
Gaussian distribution. Objects with identical responses. BibRef

Peyvandi, S.[Shahram], Hernandez-Andres, J.[Javier], Olmo, F.J., Nieves, J.L.[Juan Luis], Romero, J.[Javier],
Colorimetric analysis of outdoor illumination across varieties of atmospheric conditions,
JOSA-A(33), No. 6, June 2016, pp. 1049-1059.
DOI Link 1606
Atmospheric optics; Color, measurement ; Colorimetry BibRef

Mutimbu, L.[Lawrence], Robles-Kelly, A.[Antonio],
Multiple Illuminant Color Estimation via Statistical Inference on Factor Graphs,
IP(25), No. 11, November 2016, pp. 5383-5396.
IEEE DOI 1610
BibRef
And:
A relaxed factorial Markov random field for colour and depth estimation from a single foggy image,
ICIP13(355-359)
IEEE DOI 1402
Atmospheric modeling BibRef

Finlayson, G.D.[Graham D.], Zakizadeh, R.[Roshanak], Gijsenij, A.,
The Reproduction Angular Error for Evaluating the Performance of Illuminant Estimation Algorithms,
PAMI(39), No. 7, July 2017, pp. 1482-1488.
IEEE DOI 1706
BibRef
Earlier: A1, A2, Only:
Reproduction Angular Error: An Improved Performance Metric for Illuminant Estimation,
BMVC14(xx-yy).
HTML Version. 1410
Algorithm design and analysis, Estimation error, Image color analysis, Lighting, Measurement uncertainty, Illuminant estimation, color constancy, error metric, performance, evaluation BibRef

Zakizadeh, R.[Roshanak], Brown, M.S., Finlayson, G.D.[Graham D.],
A Hybrid Strategy for Illuminant Estimation Targeting Hard Images,
CVPV15(49-56)
IEEE DOI 1602
Algorithm design and analysis. BibRef

Lakehal, E.[Elkhamssa], Ziou, D.[Djemel], Benmohammed, M.[Mohamed],
Multiple illuminant estimation from the covariance of colors,
JVCIR(46), No. 1, 2017, pp. 107-118.
Elsevier DOI 1706
Computer, vision BibRef

Bianco, S., Cusano, C., Schettini, R.,
Single and Multiple Illuminant Estimation Using Convolutional Neural Networks,
IP(26), No. 9, September 2017, pp. 4347-4362.
IEEE DOI 1708
convolution, image colour analysis, neural nets, RAW images, color estimation, convolutional neural networks, global illuminant estimation methods, local illuminant estimation methods, multiple illuminant estimation, nonlinear local aggregation, single illuminant estimation, standard data sets, three-stage method, Color, Estimation, Image color analysis, Lighting, Neural networks, Training, Training data, Color constancy, convolutional neural networks, illuminant, estimation BibRef

Khan, H.A.[Haris Ahmad], Thomas, J.B.[Jean-Baptiste], Hardeberg, J.Y.[Jon Yngve], Laligant, O.[Olivier],
Illuminant estimation in multispectral imaging,
JOSA-A(34), No. 7, July 2017, pp. 1085-1098.
DOI Link 1708
Imaging systems, Image analysis, Multispectral and hyperspectral imaging , Spectral, properties BibRef

Liu, X.P.[Xiao-Peng], Zhong, G.Q.[Guo-Qiang], Dong, J.Y.[Jun-Yu],
Natural image illuminant estimation via deep non-negative matrix factorisation,
IET-IPR(12), No. 1, January 2018, pp. 121-125.
DOI Link 1712
BibRef

Šavc, M.[Martin], Potocnik, B.[Božidar],
Combinational illumination estimation method based on image-specific PCA filters and support vector regression,
MVA(29), No. 1, January 2018, pp. 1-9.
WWW Link. 1801
BibRef

Duan, W.T.[Wen-Tao], Huang, S.P.[Shao-Peng], Nie, C.W.[Chen-Wei],
Entrance Pupil Irradiance Estimating Model for a Moon-Based Earth Radiation Observatory Instrument,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
Moon based sensor for measurement of radiation leaving the earth. (Proposal) BibRef

Nouri, B.[Bijan], Wilbert, S.[Stefan], Kuhn, P.[Pascal], Hanrieder, N.[Natalie], Schroedter-Homscheidt, M.[Marion], Kazantzidis, A.[Andreas], Zarzalejo, L.[Luis], Blanc, P.[Philippe], Kumar, S.[Sharad], Goswami, N.[Neeraj], Shankar, R.[Ravi], Affolter, R.[Roman], Pitz-Paal, R.[Robert],
Real-Time Uncertainty Specification of All Sky Imager Derived Irradiance Nowcasts,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Haghighat, M.[Maryam], Mathew, R.K.[Reji K.], Naman, A.T.[Aous T.], Taubman, D.S.[David S.],
Illumination Estimation and Compensation of Low Frame Rate Video Sequences for Wavelet-Based Video Compression,
IP(28), No. 9, Sep. 2019, pp. 4313-4327.
IEEE DOI 1908
data compression, image resolution, image sequences, image texture, lighting, rate distortion theory, video coding, wavelet transforms, Scalable video coding BibRef

Xu, B.[Bolei], Liu, J.X.[Jing-Xin], Hou, X.X.[Xian-Xu], Liu, B.Z.[Bo-Zhi], Qiu, G.P.[Guo-Ping],
Deep reinforcement learning-based patch selection for illuminant estimation,
IVC(91), 2019, pp. 103798.
Elsevier DOI 1912
Color constancy, Reinforcement learning, Patch selection BibRef

Xu, B.[Bolei], Liu, J.X.[Jing-Xin], Hou, X.X.[Xian-Xu], Liu, B.Z.[Bo-Zhi], Qiu, G.P.[Guo-Ping],
End-to-End Illuminant Estimation Based on Deep Metric Learning,
CVPR20(3613-3622)
IEEE DOI 2008
Image color analysis, Histograms, Feature extraction, Machine learning, Lighting, Estimation, Semantics BibRef

McGuigan, M.[Matthew], Christmas, J.[Jacqueline],
Automating RTI: Automatic light direction detection and correcting non-uniform lighting for more accurate surface normals,
CVIU(192), 2020, pp. 102880.
Elsevier DOI 2002
Reflectance transformation imaging, Photometric stereo, Image enhancement BibRef

Hemrit, G.[Ghalia], Finlayson, G.D.[Graham D.], Gijsenij, A.[Arjan], Gehler, P.[Peter], Bianco, S.[Simone], Drew, M.S.[Mark S.], Funt, B.[Brian], Shi, L.L.[Li-Long],
Providing a Single Ground-Truth for Illuminant Estimation for the ColorChecker Dataset,
PAMI(42), No. 5, May 2020, pp. 1286-1287.
IEEE DOI 2004
Color constancy, illuminant estimation, algorithms evaluation BibRef

Han, J., Hong, S., Kang, M.G.,
Canonical Illumination Decomposition and Its Applications,
CirSysVideo(30), No. 11, November 2020, pp. 4158-4170.
IEEE DOI 2011
Lighting, Image color analysis, Light sources, Cameras, Light emitting diodes, Estimation, Illumination estimation, color filter array (CFA) BibRef

Woo, S.M., Kim, J.O.,
Deep Dichromatic Guided Learning for Illuminant Estimation,
IP(30), 2021, pp. 3623-3636.
IEEE DOI 2103
Deep learning, Image color analysis, Neural networks, Estimation, Benchmark testing, Reflection, Standards, Illuminant estimation, explainable deep learning BibRef

Aubé, M.[Martin], Houle, J.P.[Julien-Pierre], Desmarais, J.[Justine], Veilleux, N.[Nikki], Bordeleau, É.[Émie],
Modeling the Spectral Properties of Obtrusive Light Incident on a Window: Application to Montréal, Canada,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
Partly to study issues relating to lack of sun in winter. BibRef

Zhan, F.N.[Fang-Neng], Yu, Y.C.[Ying-Chen], Zhang, C.G.[Chang-Gong], Wu, R.L.[Rong-Liang], Hu, W.B.[Wen-Bo], Lu, S.J.[Shi-Jian], Ma, F.[Feiying], Xie, X.[Xuansong], Shao, L.[Ling],
GMLight: Lighting Estimation via Geometric Distribution Approximation,
IP(31), 2022, pp. 2268-2278.
IEEE DOI 2203
Lighting, Geometry, Estimation, Light sources, Costs, Harmonic analysis, Lighting estimation, image synthesis, generative adversarial networks BibRef

González-Collazo, S.M.[Silvia María], del Río-Barral, P.[Pablo], Balado, J.[Jesús], González, E.[Elena],
Detection of Direct Sun Glare on Drivers from Point Clouds,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Ngo, T.T.[Trung Thanh], Nagahara, H.[Hajime], Taniguchi, R.I.[Rin-Ichiro],
Surface Normals and Light Directions From Shading and Polarization,
PAMI(44), No. 9, September 2022, pp. 5618-5630.
IEEE DOI 2208
BibRef
Earlier:
Shape and light directions from shading and polarization,
CVPR15(2310-2318)
IEEE DOI 1510
Cameras, Light sources, Refractive index, Shape, Estimation, Faces, Surface normal estimation, light direction estimation, polarization-stereoscopic constraint BibRef

Ho, Q.X.[Quan Xiu], Jinno, T.[Takao], Uchimi, Y.[Yusuke], Kuriyama, S.[Shigeru],
Estimation of Multiple Illuminant Colors Using Color Line Features,
IEICE(E105-D), No. 10, October 2022, pp. 1751-1758.
WWW Link. 2210
BibRef

Abbas, F.[Fayçal], Malah, M.[Mehdi], Babahenini, M.C.[Mohamed Chaouki],
Approximating global illumination with ambient occlusion and environment light via generative adversarial networks,
PRL(166), 2023, pp. 209-217.
Elsevier DOI 2302
Generative adversarial network, Global illumination, Ambient occlusion, Attention mechanism BibRef

Abedini, Z.[Zeinab], Jamzad, M.[Mansour],
Single and multiple illuminant estimation using convex functions,
CVIU(233), 2023, pp. 103711.
Elsevier DOI 2307
Color constancy, Illuminant estimation, Convex functions, Contrast stretching BibRef

Chen, Z.[Zheng], Wang, C.[Chen], Guo, Y.C.[Yuan-Chen], Zhang, S.H.[Song-Hai],
StructNeRF: Neural Radiance Fields for Indoor Scenes With Structural Hints,
PAMI(45), No. 12, December 2023, pp. 15694-15705.
IEEE DOI 2311
BibRef

Song, L.[Liyao], Li, H.W.[Hai-Wei], Liu, S.[Song], Chen, J.Y.[Jun-Yu], Fan, J.C.[Jian-Cun], Wang, Q.[Quan], Chanussot, J.[Jocelyn],
Attention Network with Outdoor Illumination Variation Prior for Spectral Reconstruction from RGB Images,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Xu, L.X.[Le-Xuan], Hua, G.[Guang], Zhang, H.[Haijian], Yu, L.[Lei],
'Seeing' ENF From Neuromorphic Events: Modeling and Robust Estimation,
PAMI(46), No. 10, October 2024, pp. 6809-6825.
IEEE DOI 2409
Electric Network Frequency in standard videos. Lighting, Cameras, Estimation, Videos, Fluctuations, Frequency estimation, Light sources, Electric network frequency, harmonic enhancement BibRef

Ershov, E.[Egor], Tesalin, V.[Vasily], Ermakov, I.[Ivan], Brown, M.S.[Michael S.],
Physically-plausible illumination distribution estimation,
ICCV23(12882-12890)
IEEE DOI 2401
BibRef

Sun, C.[Cheng], Cai, G.[Guangyan], Li, Z.Q.[Zheng-Qin], Yan, K.[Kai], Zhang, C.[Cheng], Marshall, C.[Carl], Huang, J.B.[Jia-Bin], Zhao, S.[Shuang], Dong, Z.[Zhao],
Neural-PBIR Reconstruction of Shape, Material, and Illumination,
ICCV23(18000-18010)
IEEE DOI Code:
WWW Link. 2401
BibRef

Patakin, N.[Nikolay], Senushkin, D.[Dmitry], Vorontsova, A.[Anna], Konushin, A.[Anton],
Neural Global Illumination for Inverse Rendering,
ICIP23(1580-1584)
IEEE DOI 2312
BibRef

Han, J.[Jin], Asano, Y.[Yuta], Shi, B.X.[Bo-Xin], Zheng, Y.Q.[Yin-Qiang], Sato, I.[Imari],
High-fidelity Event-Radiance Recovery via Transient Event Frequency,
CVPR23(20616-20625)
IEEE DOI 2309
BibRef

Tang, J.J.[Jia-Jun], Zhu, Y.J.[Yong-Jie], Wang, H.Y.[Hao-Yu], Chan, J.H.[Jun Hoong], Li, S.[Si], Shi, B.X.[Bo-Xin],
Estimating Spatially-Varying Lighting in Urban Scenes with Disentangled Representation,
ECCV22(VI:454-469).
Springer DOI 2211
BibRef

Zhang, Y.Q.[Yuan-Qing], Sun, J.M.[Jia-Ming], He, X.Y.[Xing-Yi], Fu, H.[Huan], Jia, R.[Rongfei], Zhou, X.W.[Xiao-Wei],
Modeling Indirect Illumination for Inverse Rendering,
CVPR22(18622-18631)
IEEE DOI 2210
Image sensors, Shape, Computational modeling, Pipelines, Lighting, Rendering (computer graphics), Vision+graphics, Physics-based vision and shape-from-X BibRef

Paletta, Q.[Quentin], Hu, A.[Anthony], Arbod, G.[Guillaume], Blanc, P.[Philippe], Lasenby, J.[Joan],
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting,
OmniCV22(5178-5187)
IEEE DOI 2210
Training, Satellites, Neural networks, Computer architecture, Predictive models, Cameras BibRef

Zhan, F.N.[Fang-Neng], Zhang, C.G.[Chang-Gong], Hu, W.B.[Wen-Bo], Lu, S.J.[Shi-Jian], Ma, F.Y.[Fei-Ying], Xie, X.S.[Xuan-Song], Shao, L.[Ling],
Sparse Needlets for Lighting Estimation with Spherical Transport Loss,
ICCV21(12810-12819)
IEEE DOI 2203
Measurement, Location awareness, Training, Frequency-domain analysis, Computational modeling, Lighting, Computational photography BibRef

Noguchi, A.[Atsuhiro], Sun, X.[Xiao], Lin, S.[Stephen], Harada, T.[Tatsuya],
Neural Articulated Radiance Field,
ICCV21(5742-5752)
IEEE DOI 2203
Solid modeling, Codes, Shape, Annotations, Computational complexity, Stereo, 3D from multiview and other sensors, 3D from a single image and shape-from-x BibRef

Liu, S.[Steven], Zhang, X.[Xiuming], Zhang, Z.[Zhoutong], Zhang, R.[Richard], Zhu, J.Y.[Jun-Yan], Russell, B.[Bryan],
Editing Conditional Radiance Fields,
ICCV21(5753-5763)
IEEE DOI 2203
Solid modeling, Shape, Semantics, Color, Optimization, Neural generative models, Image and video synthesis BibRef

Jeong, Y.[Yoonwoo], Ahn, S.[Seokjun], Choy, C.[Christopher], Anandkumar, A.[Animashree], Cho, M.[Minsu], Park, J.[Jaesik],
Self-Calibrating Neural Radiance Fields,
ICCV21(5826-5834)
IEEE DOI 2203
Geometry, Codes, Nonlinear distortion, Cameras, Calibration, Standards, Stereo, 3D from multiview and other sensors, Vision applications and systems BibRef

DeVries, T.[Terrance], Bautista, M.A.[Miguel Angel], Srivastava, N.[Nitish], Taylor, G.W.[Graham W.], Susskind, J.M.[Joshua M.],
Unconstrained Scene Generation with Locally Conditioned Radiance Fields,
ICCV21(14284-14293)
IEEE DOI 2203
Training, Photography, Solid modeling, Simultaneous localization and mapping, Reinforcement learning, Scene analysis and understanding BibRef

Trevithick, A.[Alex], Yang, B.[Bo],
GRF: Learning a General Radiance Field for 3D Representation and Rendering,
ICCV21(15162-15172)
IEEE DOI 2203
Geometry, Visualization, Solid modeling, Aggregates, Neural networks, Vision for robotics and autonomous vehicles, Stereo, 3D from multiview and other sensors BibRef

Yu, A.[Alex], Li, R.[Ruilong], Tancik, M.[Matthew], Li, H.[Hao], Ng, R.[Ren], Kanazawa, A.[Angjoo],
PlenOctrees for Real-time Rendering of Neural Radiance Fields,
ICCV21(5732-5741)
IEEE DOI 2203
Training, Visualization, Octrees, Neural networks, Streaming media, Rendering (computer graphics), Stereo, Vision applications and systems BibRef

Oechsle, M.[Michael], Peng, S.[Songyou], Geiger, A.[Andreas],
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction,
ICCV21(5569-5579)
IEEE DOI 2203
Surface reconstruction, Solid modeling, Rendering (computer graphics), Image reconstruction, Stereo, 3D from a single image and shape-from-x BibRef

Swedish, T.[Tristan], Henley, C.[Connor], Raskar, R.[Ramesh],
Objects as Cameras: Estimating High-Frequency Illumination from Shadows,
ICCV21(2573-2582)
IEEE DOI 2203
Surface reconstruction, Parameter estimation, Shape, Lighting, Estimation, Cameras, Computational photography, Explainable AI, Vision applications and systems BibRef

Li, Y.Q.[Yu-Qi], Fu, Q.[Qiang], Heidrich, W.[Wolfgang],
Multispectral illumination estimation using deep unrolling network,
ICCV21(2652-2661)
IEEE DOI 2203
Training, Reflectivity, Image coding, Noise reduction, Lighting, Estimation, Training data, Computational photography, Low-level and physics-based vision BibRef

Zhu, Y.J.[Yong-Jie], Zhang, Y.[Yinda], Li, S.[Si], Shi, B.X.[Bo-Xin],
Spatially-Varying Outdoor Lighting Estimation from Intrinsics,
CVPR21(12829-12837)
IEEE DOI 2111
Deep learning, Neural networks, Lighting, Estimation, Pattern recognition BibRef

Rebain, D.[Daniel], Jiang, W.[Wei], Yazdani, S.[Soroosh], Li, K.[Ke], Yi, K.M.[Kwang Moo], Tagliasacchi, A.[Andrea],
DeRF: Decomposed Radiance Fields,
CVPR21(14148-14156)
IEEE DOI 2111
Training, Head, Limiting, Pipelines, Neural networks, Graphics processing units BibRef

Abdelhamed, A.[Abdelrahman], Punnappurath, A.[Abhijith], Brown, M.S.[Michael S.],
Leveraging the Availability of Two Cameras for Illuminant Estimation,
CVPR21(6633-6642)
IEEE DOI 2111
Performance evaluation, Technological innovation, Image color analysis, Neural networks, Estimation, Lighting, Transforms BibRef

Takatani, T.[Tsuyoshi], Ito, Y.[Yuzuha], Ebisu, A.[Ayaka], Zheng, Y.Q.[Yin-Qiang], Aoto, T.[Takahito],
Event-based Bispectral Photometry using Temporally Modulated Illumination,
CVPR21(15633-15642)
IEEE DOI 2111
Quantization (signal), Statistical analysis, Shape, Lighting, Prototypes, Cameras BibRef

Wei, X.[Xin], Chen, G.J.[Guo-Jun], Dong, Y.[Yue], Lin, S.[Stephen], Tong, X.[Xin],
Object-based Illumination Estimation with Rendering-aware Neural Networks,
ECCV20(XV:380-396).
Springer DOI 2011
BibRef

Zhao, Y.[Yiqin], Guo, T.[Tian],
Pointar: Efficient Lighting Estimation for Mobile Augmented Reality,
ECCV20(XXIII:678-693).
Springer DOI 2011
BibRef

Gkitsas, V.[Vasileios], Zioulis, N.[Nikolaos], Alvarez, F.[Federico], Zarpalas, D.[Dimitrios], Daras, P.[Petros],
Deep Lighting Environment Map Estimation from Spherical Panoramas,
OmniCV20(2719-2728)
IEEE DOI 2008
Lighting, Estimation, Task analysis, Geometry, Data models, Image color analysis, Rendering (computer graphics) BibRef

Qian, Y.L.[Yan-Lin], Kamarainen, J.K.[Joni-Kristian], Nikkanen, J.[Jarno], Matas, J.G.[Jiri G.],
On Finding Gray Pixels,
CVPR19(8054-8062).
IEEE DOI 2002
for illumination estimation. BibRef

Zhang, J.S.[Jin-Song], Sunkavalli, K.[Kalyan], Hold-Geoffroy, Y.[Yannick], Hadap, S.I.[Sun-Il], Eisenman, J.[Jonathan], Lalonde, J.F.[Jean-Francois],
All-Weather Deep Outdoor Lighting Estimation,
CVPR19(10150-10158).
IEEE DOI 2002
BibRef

Wu, L.W.[Li-Wen], Zhu, R.[Rui], Yaldiz, M.B.[Mustafa B.], Zhu, Y.[Yinhao], Cai, H.[Hong], Matai, J.[Janarbek], Porikli, F.M.[Fatih M.], Li, T.M.[Tzu-Mao], Chandraker, M.[Manmohan], Ramamoorthi, R.[Ravi],
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation,
ICCV23(3825-3835)
IEEE DOI Code:
WWW Link. 2401
BibRef

Azinovic, D.[Dejan], Li, T.M.[Tzu-Mao], Kaplanyan, A.[Anton], Niessner, M.[Matthias],
Inverse Path Tracing for Joint Material and Lighting Estimation,
CVPR19(2442-2451).
IEEE DOI 2002
BibRef

Hui, Z.[Zhuo], Chakrabarti, A.[Ayan], Sunkavalli, K.[Kalyan], Sankaranarayanan, A.C.[Aswin C.],
Learning to Separate Multiple Illuminants in a Single Image,
CVPR19(3775-3784).
IEEE DOI 2002
BibRef

LeGendre, C.[Chloe], Ma, W.C.[Wan-Chun], Fyffe, G.[Graham], Flynn, J.[John], Charbonnel, L.[Laurent], Busch, J.[Jay], Debevec, P.[Paul],
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality,
CVPR19(5911-5921).
IEEE DOI 2002
BibRef

Song, S.[Shuran], Funkhouser, T.[Thomas],
Neural Illumination: Lighting Prediction for Indoor Environments,
CVPR19(6911-6919).
IEEE DOI 2002
BibRef

Hold-Geoffroy, Y.[Yannick], Athawale, A.[Akshaya], Lalonde, J.F.[Jean-Francois],
Deep Sky Modeling for Single Image Outdoor Lighting Estimation,
CVPR19(6920-6928).
IEEE DOI 2002
BibRef

Garon, M.[Mathieu], Sunkavalli, K.[Kalyan], Hadap, S.I.[Sun-Il], Carr, N.[Nathan], Lalonde, J.F.[Jean-Francois],
Fast Spatially-Varying Indoor Lighting Estimation,
CVPR19(6901-6910).
IEEE DOI 2002
BibRef

Pothineni, D.[Dinesh], Oswald, M.R.[Martin R.], Poland, J.[Jan], Pollefeys, M.[Marc],
KloudNet: Deep Learning for Sky Image Analysis and Irradiance Forecasting,
GCPR18(535-551).
Springer DOI 1905
BibRef

Banic, N.[Nikola], Loncaric, S.[Sven],
Illumination Estimation Is Sufficient for Indoor-Outdoor Image Classification,
GCPR18(473-486).
Springer DOI 1905
BibRef

Yamazoe, T.[Takashi], Funaki, T.[Tomohiro], Kiyasu, Y.[Yuki], Mizokami, Y.[Yoko],
Evaluating the Material Appearance of Objects Under Different Lighting Distributions Against Natural Illumination,
CCIW19(318-333).
Springer DOI 1905
BibRef

Lassandro, P., Lepore, M., Paribeni, A., Zonno, M.,
3d Modelling and Medieval Lighting Reconstruction for Rupestrian Churches,
3DARCH19(417-423).
DOI Link 1904
BibRef

Tsesmelis, T.[Theodore], Hasan, I.[Irtiza], Cristani, M.[Marco], Galasso, F.[Fabio], del Bue, A.[Alessio],
RGBD2lux: Dense Light Intensity Estimation With an RGBD Sensor,
WACV19(501-510)
IEEE DOI 1904
CAD, image colour analysis, image sensors, lighting, rendering (computer graphics), industrial applications, Software BibRef

Tsesmelis, T.[Theodore], Hasan, I.[Irtiza], Cristani, M.[Marco], del Bue, A.[Alessio], Galasso, F.[Fabio],
Human-Centric Light Sensing and Estimation From RGBD Images: The Invisible Light Switch,
WACV19(416-425)
IEEE DOI 1904
indoor environment, LED lamps, light emitting diodes, lighting, invisible light switch. BibRef

Cohen, M.F.[Michael F.], Zhang, E.[Edward], Curless, B.[Brian],
Discovering Point Lights with Intensity Distance Fields,
CVPR18(6635-6643)
IEEE DOI 1812
Lighting, Light sources, Geometry, Surface treatment, Color, Shape BibRef

Sakakibara, N., Sakaue, F., Sato, J.,
Seeing Temporal Modulation of Lights from Standard Cameras,
CVPR18(6402-6410)
IEEE DOI 1812
Cameras, Power systems, Modulation, Standards, Sensors, Light sources BibRef

Weber, H., Prévost, D., Lalonde, J.,
Learning to Estimate Indoor Lighting from 3D Objects,
3DV18(199-207)
IEEE DOI 1812
convolution, feature extraction, feedforward neural nets, image sequences, learning (artificial intelligence), autoencoder BibRef

Robles-Kelly, A., Wei, R.,
A Convolutional Neural Network for Pixelwise Illuminant Recovery in Colour and Spectral Images,
ICPR18(109-114)
IEEE DOI 1812
Image color analysis, Tensile stress, Lighting, Training, Convolutional neural networks, Spectral analysis BibRef

Wang, T., Ritschel, T., Mitra, N.,
Joint Material and Illumination Estimation from Photo Sets in the Wild,
3DV18(22-31)
IEEE DOI 1812
image colour analysis, image reconstruction, image segmentation, image sensors, Internet, learning (artificial intelligence), differentiable rendering BibRef

Hui, Z., Sunkavalli, K., Hadap, S., Sankaranarayanan, A.C.,
Illuminant Spectra-Based Source Separation Using Flash Photography,
CVPR18(6209-6218)
IEEE DOI 1812
Lighting, Image color analysis, Light sources, Source separation, Photography, Cameras, Shape BibRef

Al Delail, B., Bhaskar, H., Zemerly, M.J., Werghi, N.,
Balancing Incident and Ambient Light for Illumination Compensation in Video Applications,
ICIP18(1762-1766)
IEEE DOI 1809
Lighting, Image color analysis, Cameras, Smart TV, Light sources, Target tracking, Illumination enhancement, video processing, visual tracking BibRef

Moriyama, D., Ueda, Y., Koga, T., Suetake, N., Uchino, E.,
Illuminant Color Estimation Method Based on Pseudo-Detection of Specular Reflection,
ICIP18(2262-2266)
IEEE DOI 1809
Image color analysis, Estimation, Colored noise, Standards, Brightness, Reflection, Indexes, White balance (WB), specular reflection BibRef

Friedlander, R.D., Yezzi, A.J.,
A closed-form expression for thin lens image irradiance,
IPTA17(1-6)
IEEE DOI 1804
integration, lenses, Horn approximation, Horn derivation, Horn irradiance equation, Thin lens model BibRef

Subpa-asa, A.[Art], Zheng, Y.Q.[Yin-Qiang], Ono, N.[Nobutaka], Sato, I.[Imari],
Light transport component decomposition using multi-frequency illumination,
ICIP17(3595-3599)
IEEE DOI 1803
Cameras, Image color analysis, Lighting, Mathematical model, Principal component analysis, Scattering, Task analysis, Subsurface scattering BibRef

Hold-Geoffroy, Y., Sunkavalli, K., Hadap, S., Gambaretto, E., Lalonde, J.F.,
Deep Outdoor Illumination Estimation,
CVPR17(2373-2382)
IEEE DOI 1711
Atmospheric modeling, Cameras, Dynamic range, Estimation, Lighting, Sun BibRef

Liu, B., Qiu, G.,
A classification method for estimating the illuminant of an image,
VCIP16(1-4)
IEEE DOI 1701
Clustering algorithms BibRef

Cheng, D., Kamel, A., Price, B.L.[Brian L.], Cohen, S.[Scott], Brown, M.S.,
Two Illuminant Estimation and User Correction Preference,
CVPR16(469-477)
IEEE DOI 1612
BibRef

Shi, W.[Wu], Loy, C.C.[Chen Change], Tang, X.[Xiaoou],
Deep Specialized Network for Illuminant Estimation,
ECCV16(IV: 371-387).
Springer DOI 1611
BibRef

Kim, K.[Kichang], Torii, A.[Akihiko], Okutomi, M.[Masatoshi],
Multi-view Inverse Rendering Under Arbitrary Illumination and Albedo,
ECCV16(III: 750-767).
Springer DOI 1611
BibRef
Earlier:
Joint Estimation of Depth, Reflectance and Illumination for Depth Refinement,
IR15(199-207)
IEEE DOI 1602
Estimation BibRef

Put, J.[Jeroen], Michiels, N.[Nick], Bekaert, P.[Philippe],
Using Near-Field Light Sources to Separate Illumination from BRDF,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Cheng, D.L.[Dong-Liang], Price, B.L.[Brian L.], Cohen, S.[Scott], Brown, M.S.[Michael S.],
Effective learning-based illuminant estimation using simple features,
CVPR15(1000-1008)
IEEE DOI 1510
BibRef

Zheng, Y.Q.[Yin-Qiang], Sato, I.[Imari], Sato, Y.[Yoichi],
Illumination and reflectance spectra separation of a hyperspectral image meets low-rank matrix factorization,
CVPR15(1779-1787)
IEEE DOI 1510
BibRef

Yang, K.F.[Kai-Fu], Gao, S.B.[Shao-Bing], Li, Y.J.[Yong-Jie],
Efficient illuminant estimation for color constancy using grey pixels,
CVPR15(2254-2263)
IEEE DOI 1510
BibRef

Liu, B.Z.[Bo-Zhi], Qiu, G.P.[Guo-Ping],
Illuminant classification based on random forest,
MVA15(106-109)
IEEE DOI 1507
Histograms BibRef

Heredia Conde, M., Hartmann, K., Loffeld, O.,
Turning a ToF camera into an illumination tester: Multichannel waveform recovery from few measurements using compressed sensing,
IC3D14(1-8)
IEEE DOI 1503
Cameras BibRef

Kadambi, A., Bhandari, A., Whyte, R., Dorrington, A., Raskar, R.,
Demultiplexing illumination via low cost sensing and nanosecond coding,
ICCP14(1-10)
IEEE DOI 1411
cameras BibRef

Aoto, T., Sato, T., Mukaigawa, Y., Yokoya, N.,
Linear Estimation of 4-D Illumination Light Field from Diffuse Reflections,
ACPR13(496-500)
IEEE DOI 1408
estimation theory BibRef

Zhang, Y.Q.[Yu-Qian], Mu, C.[Cun], Kuo, H.W.[Han-Wen], Wright, J.[John],
Toward Guaranteed Illumination Models for Non-convex Objects,
ICCV13(937-944)
IEEE DOI 1403
Illumination cone model BibRef

Shahzad, A., Walter, N., Malik, A.S.[Aamir Saeed], Saad, N.M., Meriaudeau, F.,
Multispectral venous images analysis for optimum illumination selection,
ICIP13(2383-2387)
IEEE DOI 1402
Absorption coefficient BibRef

Gammell, J.D.[Jonathan D.], Tong, C.H.[Chi Hay], Barfoot, T.D.[Timothy D.],
Blinded by the Light: Exploiting the Deficiencies of a Laser Rangefinder for Rover Attitude Estimation,
CRV13(144-150)
IEEE DOI 1308
Azimuth. Locate the sun. BibRef

Ukida, H.[Hiroyuki], Harada, T.[Takashi],
3D shape, color and specular component estimation using image scanner with multiple light sources: Optimal light position estimation,
FCV13(190-196).
IEEE DOI 1304
BibRef

Aoto, T.[Takahito], Taketomi, T.[Takafumi], Sato, T.[Tomokazu], Mukaigawa, Y.[Yasuhiro], Yokoya, N.[Naokazu],
Position estimation of near point light sources using a clear hollow sphere,
ICPR12(3721-3724).
WWW Link. 1302
BibRef

Inoue, K.[Koji], Saito, H.[Hironobu], Kuroki, Y.[Yoshimitsu],
Local intensity compensation using sparse representation,
ICPR12(951-954).
WWW Link. 1302
BibRef

Filip, J.[Jiri], Haindl, M.[Michal], Stancik, J.[Jaroslav],
Predicting environment illumination effects on material appearance,
ICPR12(2075-2078).
WWW Link. 1302
BibRef

Filip, J.[Jiri],
Restoring illumination and view dependent data from sparse samples,
ICPR12(1391-1394).
WWW Link. 1302
BibRef

Huynh, C.P.[Cong Phuoc], Robles-Kelly, A.[Antonio],
Illuminant segmentation in non-uniformly lit scenes,
ICPR12(3664-3667).
WWW Link. 1302
BibRef

Ikeda, T.[Takuya], Oyamada, Y.J.[Yu-Ji], Sugimoto, M.[Maki], Saito, H.[Hideo],
Illumination estimation from shadow and incomplete object shape captured by an RGB-D camera,
ICPR12(165-169).
WWW Link. 1302
BibRef

Shim, H.J.[Hyun-Jung],
Estimating all frequency lighting using a color/depth image,
ICIP12(565-568).
IEEE DOI 1302
BibRef

Coubard, F., Lelégard, L., Brédif, M., Paparoditis, N., Briottet, X.,
Reconstruction of Sky Illumination Domes From Ground-based Panoramas,
ISPRS12(XXXIX-B3:269-274).
DOI Link 1209
BibRef

Zhao, Y.D.[You-Dong], Song, X.[Xi], Jia, Y.D.[Yun-De],
On the dimensionality of video bricks under varying illumination,
CVPR12(222-229).
IEEE DOI 1208
BibRef

Chen, C.[Christine], Vaquero, D.A.[Daniel A.], Turk, M.A.[Matthew A.],
Illumination demultiplexing from a single image,
ICCV11(17-24).
IEEE DOI 1201
Separate multiple illuminants BibRef

Imai, Y.[Yoshie], Kato, Y.[Yu], Kadoi, H.[Hideki], Horiuchi, T.[Takahiko], Tominaga, S.[Shoji],
Estimation of Multiple Illuminants Based on Specular Highlight Detection,
CCIW11(85-98).
Springer DOI 1104
BibRef

Riess, C.[Christian], Eibenberger, E.[Eva], Angelopoulou, E.[Elli],
Illuminant color estimation for real-world mixed-illuminant scenes,
Color11(782-789).
IEEE DOI 1201
BibRef

Eibenberger, E.[Eva], Angelopoulou, E.[Elli],
Beyond the neutral interface reflection assumption in illuminant color estimation,
ICIP10(4689-4692).
IEEE DOI 1009
I.e. color of specularities is the color of incident illumination. Not true for skin colors. BibRef

Hou, T.B.[Ting-Bo], Wang, S.[Sen], Qin, H.[Hong],
Illumination learning from a single image with unknown shape and texture,
ICIP10(2301-2304).
IEEE DOI 1009
BibRef

Sakaue, F.[Fumihiko], Sato, J.[Jun],
A new approach of photometric stereo from linear image representation under close lighting,
Color11(759-766).
IEEE DOI 1201
BibRef

Kato, K.[Kazuki], Sakaue, F.[Fumihiko], Sato, J.[Jun],
Extended Multiple View Geometry for Lights and Cameras from Photometric and Geometric Constraints,
ICPR10(2110-2113).
IEEE DOI 1008

See also Emphasizing 3D Structure Visually Using Coded Projection from Multiple Projectors. BibRef

Yamashita, Y.[Yukihiro], Sakaue, F.[Fumihiko], Sato, J.[Jun],
Recovering 3D Shape and Light Source Positions from Non-planar Shadows,
ICPR10(1775-1778).
IEEE DOI 1008
BibRef

Friedrich, D.[David], Brauers, J.[Johannes], Bell, A.A.[Andre A.], Aach, T.[Til],
Towards fully automated precise measurement of camera transfer functions,
Southwest10(149-152).
IEEE DOI 1005
The mapping from irradiance to the sensor values. BibRef

Koppal, S.J.[Sanjeev Jagannatha],
Modeling Illumination for Scene Recovery hrough the Motion, Occlusion and Strobing of Light-Sources,
CMU-RI-TR-09-37, August, 2009. BibRef 0908 Ph.D.Thesis, Carnegie Mellon University, August 2009.
WWW Link. 1102
BibRef

Koppal, S.J.[Sanjeev J.], Narasimhan, S.G.[Srinivasa G.],
Shadow cameras: Reciprocal views from illumination masks,
ICCV09(1211-1218).
IEEE DOI 0909
Appearance from light source view. BibRef

Sun, M.X.[Ming-Xuan], Schindler, G.[Grant], Turk, G.[Greg], Dellaert, F.[Frank],
Color matching and illumination estimation for urban scenes,
3DIM09(1566-1573).
IEEE DOI 0910
BibRef

Riess, C.[Christian], Jordan, J.[Johannes], Angelopoulou, E.[Elli],
A common framework for ambient illumination in the dichromatic reflectance model,
CRICV09(1939-1946).
IEEE DOI 0910
BibRef

Riess, C.[Christian], Angelopoulou, E.[Elli],
Physics-based illuminant color estimation as an image semantics clue,
ICIP09(689-692).
IEEE DOI 0911
BibRef

Tan, P.[Ping], Zickler, T.E.[Todd E.],
A projective framework for radiometric image analysis,
CVPR09(2977-2984).
IEEE DOI 0906
Expolit reflectace symmetries to deal with variations and interactions. BibRef

de Decker, B.[Bert], Kautz, J.[Jan], Mertens, T.[Tom], Bekaert, P.[Philippe],
Capturing multiple illumination conditions using time and color multiplexing,
CVPR09(2536-2543).
IEEE DOI 0906
To capture variable pictures with moving scene. BibRef

Tajima, J.[Johji],
Illumination Chromaticity Estimation Based on Dichromatic Reflection Model and Imperfect Segmentation,
CCIW09(51-61).
Springer DOI 0903
BibRef

Haindl, M.[Michal], Mikes, S.[Stanislav], Vacha, P.[Pavel],
Illumination invariant unsupervised segmenter,
ICIP09(4025-4028).
IEEE DOI 0911
BibRef

Vacha, P.[Pavel], Haindl, M.[Michal],
Illumination invariant and rotational insensitive textural representation,
ICIP09(1333-1336).
IEEE DOI 0911
BibRef
Earlier:
Illumination invariants based on Markov random fields,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Nishihara, H.[Hiroaki], Nagao, T.[Tomoharu],
Extraction of Illumination Effects from Natural Images with Color Transition Model,
ISVC08(II: 752-761).
Springer DOI 0812
BibRef

Migita, T.[Tsuyoshi], Ogino, S.[Shinsuke], Shakunaga, T.[Takeshi],
Direct Bundle Estimation for Recovery of Shape, Reflectance Property and Light Position,
ECCV08(III: 412-425).
Springer DOI 0810
BibRef

Nasu, O.[Osamu], Hiura, S.[Shinsaku], Sato, K.[Kosuke],
Analysis of Light Transport based on the Separation of Direct and Indirect Components,
PROCAMS07(1-2).
IEEE DOI 0706
BibRef

Madsen, C.B.[Claus B.], Laursen, R.E.[Rune E.],
Performance Comparison of Techniques for Approximating Image-Based Lighting by Directional Light Sources,
SCIA07(888-897).
Springer DOI 0706
BibRef

Troccoli, A.[Alejandro], Allen, P.K.[Peter K.],
Recovering Illumination and Texture Using Ratio Images,
3DPVT06(655-662).
IEEE DOI 0606
BibRef

Stork, D.G.[David G.], Johnson, M.K.[M. Kimo],
Estimating the location of illuminants in realist master paintings Computer image analysis addresses a debate in art history of the Baroque,
ICPR06(I: 255-258).
IEEE DOI 0609
BibRef

Andersen, M.S.[Mikkel Sandberg], Jensen, T.[Tommy], Madsen, C.B.[Claus B.],
Estimation of Dynamic Light Changes in Outdoor Scenes Without the use of Calibration Objects,
ICPR06(IV: 91-94).
IEEE DOI 0609
BibRef

Alldrin, N.G.[Neil G.], Kriegman, D.J.[David J.],
A Planar Light Probe,
CVPR06(II: 2324-2330).
IEEE DOI 0606
Recover lighting information, 2 planes separated by glass, recover Fourier parameters directly. BibRef

Xie, F.[Feng], Tao, L.M.[Lin-Mi], Xu, G.Y.[Guang-You], Di, H.J.[Hui-Jun],
Estimating Illumination Parameters in Real Space with Application to Image Relighting,
ACCV06(I:490-499).
Springer DOI 0601
BibRef

Kawakami, R.[Rei], Tan, R.T.[Robby T.], Ikeuchi, K.[Katsushi],
Consistent Surface Color for Texturing Large Objects in Outdoor Scenes,
DACO08(279-296). 0812
BibRef
Earlier: A1, A3, A2: ICCV05(II: 1200-1207).
IEEE DOI 0510
Remove illumination to get real color. BibRef

Ebner, M.[Marc],
Estimating the Color of the Illuminant Using Anisotropic Diffusion,
CAIP07(441-449).
Springer DOI 0708
BibRef

Ebner, M.[Marc], Herrmann, C.[Christian],
On Determining the Color of the Illuminant Using the Dichromatic Reflection Model,
DAGM05(1).
Springer DOI 0509
BibRef

Ortiz, A.[Alberto], Oliver, G.[Gabriel],
Estimation of Directional and Ambient Illumination Parameters by Means of a Calibration Object,
ICIAR04(I: 672-679).
Springer DOI 0409
BibRef

Kwon, O.S.[Oh-Seol], Cho, Y.H.[Yang-Ho], Kim, Y.T.[Yun-Tae], Ha, Y.H.[Yeong-Ho],
Illumination estimation based on valid pixel selection in highlight region,
ICIP04(IV: 2419-2422).
IEEE DOI 0505
BibRef

Kanbara, M., Yokoya, N.,
Real-time estimation of light source environment for photorealistic augmented reality,
ICPR04(II: 911-914).
IEEE DOI 0409
BibRef

Green, J., Pridmore, T.P., Benford, S., Ghali, A.,
Location and recognition of flashlight projections for visual interfaces,
ICPR04(IV: 949-952).
IEEE DOI 0409
BibRef

Varma, M., Zisserman, A.[Andrew],
Estimating illumination direction from textured images,
CVPR04(I: 179-186).
IEEE DOI 0408
BibRef

Wu, T.P.[Tai-Pang], Tang, C.K.[Chi-Keung],
Separating Subsurface Scattering from Photometric Image,
ICPR06(II: 207-210).
IEEE DOI 0609
BibRef
Earlier:
Separating Specular, Diffuse, and Subsurface Scattering Reflectances from Photometric Images,
ECCV04(Vol II: 419-433).
Springer DOI 0405
Detailed analysis of reflection. BibRef

Li, Y.Z.[Yuan-Zhen], Lin, S., Lu, H.Q.[Han-Qing], Shum, H.Y.[Heung-Yeung],
Multiple-cue illumination estimation in textured scenes,
ICCV03(1366-1373).
IEEE DOI 0311
BibRef

Ottlik, A.[Artur], Nagel, H.H.[Hans-Hellmut],
On Consistent Discrimination between Directed and Diffuse Outdoor Illumination,
DAGM03(418-425).
Springer DOI 0310
BibRef

Zhou, W., Kambhamettu, C.,
Estimation of Illuminant Direction and Intensity of Multiple Light Sources,
ECCV02(IV: 206 ff.).
Springer DOI 0205
BibRef

Zhou, W.[Wei], Kambhamettu, C.,
Estimation of the size and location of multiple area light sources,
ICPR04(III: 214-217).
IEEE DOI 0409
BibRef

Ostrovsky, Y.[Yuri], Cavanagh, P.[Patrick], Sinha, P.[Pawan],
Perceiving Illumination Inconsistencies in Scenes,
MIT AIM-2001-029, November 2001.
WWW Link. 0205
BibRef

Lin, S., Shum, H.Y.,
Separation of Diffuse and Specular Reflection from Color Images,
CVPR01(I:341-346).
IEEE DOI 0110
From 2 images (uncalibrated lighting) estimate illumination. Then RGB of reflected light. BibRef

Gómez Moreno, H., Maldonado Bascón, S., López Ferreras, F., Acevedo Rodríguez, F.,
Extracting Illumination from Images by Using the Wavelet Transform,
ICIP01(II: 265-268).
IEEE DOI 0108
BibRef

Okatani, T.[Takayuki], Deguchi, K.[Koichiro],
Estimation of Illumination Distribution Using a Specular Sphere,
ICPR00(Vol III: 592-595).
IEEE DOI 0009
BibRef

Yang, Y., Yuille, A.L.[Alan L.],
Sources from Shading,
CVPR91(534-539). Illumination direction.
IEEE DOI BibRef 9100

Brady, M.,
Inferring the Direction of the Sun from Intensity Values on a Generalized Cone,
IJCAI79(88-91). BibRef 7900

Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Interreflections, Reflections .