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On Lightness,
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CVPR93(570-576).
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IEEE DOI
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A theory that reproduces Land's two color experiments.
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Skrzypek, J.,
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Brightness Versus Apparent Contrast 3:
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9708
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Bayesian Decision Theory, the Maximum Local Mass Estimate,
ICCV95(210-217).
IEEE DOI
BibRef
9500
Brainard, D.H.,
Brunt, W.A.,
Speigle, J.M.,
Color Constancy in the Nearly Natural Image: I: Asymmetric Matches,
JOSA-A(14), No. 9, September 1997, pp. 2091-2110.
9709
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Brainard, D.H.,
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JOSA-A(15), No. 2, February 1998, pp. 307-325.
9802
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Allred, S.R.[Sarah R.],
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Blohm, W.,
Lightness Determination at Curved Surfaces with Applications to
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IEEE DOI
9708
BibRef
Boldrin, E.,
Schettini, R.,
Faithful cross-media color matching using neural networks,
PR(32), No. 3, March 1999, pp. 465-476.
Elsevier DOI
BibRef
9903
Earlier:
Cross-media color matching using neural networks,
CIAP97(I: 335-342).
Springer DOI
9709
BibRef
Baeuml, K.H.[Karl-Heinz],
Color constancy: the role of image surfaces in illuminant adjustment,
JOSA-A(16), No. 7, July 1999, pp. 1521-1530.
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9907
Sapiro, G.[Guillermo],
Color and Illuminant Voting,
PAMI(21), No. 11, November 1999, pp. 1210-1215.
IEEE DOI
9912
BibRef
Earlier:
Bilinear Voting,
ICCV98(178-183).
IEEE DOI i.e. Color and Illuminant
Color constancy and illuminant estimation.
Based on Hough ideas.
BibRef
Gilcrist, A.,
Kossyfidis, C.,
Bonato, F.,
Agostini, T.,
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Annan, V.,
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Nascimento, S.M.C.[Sérgio M. C.],
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Foster, D.H.[David H.],
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1804
Color, Color vision, Detection, Vision modeling,
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Nascimento, S.M.C.[Sérgio M. C.],
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1202
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Marini, D.[Daniele],
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IVC(18), No. 13, October 2000, pp. 1005-1014.
Elsevier DOI
0008
BibRef
Earlier:
A computational approach to color illusions,
CIAP97(I: 62-69).
Springer DOI
9709
BibRef
Abdellatif, M.[Mohamed],
Tanaka, Y.[Yutaka],
Gofuku, A.[Akio],
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Color Constancy Using the Inter-Reflection from a Reference Nose,
IJCV(39), No. 3, September-October 2000, pp. 171-194.
DOI Link
0101
BibRef
Geusebroek, J.M.[Jan-Mark],
van den Boomgaard, R.[Rein],
Smeulders, A.W.M.[Arnold W. M.],
Geerts, H.,
Color Invariance,
PAMI(23), No. 12, December 2001, pp. 1338-1350.
IEEE DOI
0112
Measure object reflectance under different imaging conditions.
BibRef
Geusebroek, J.M.[Jan-Mark],
van den Boomgaard, R.[Rein],
Smeulders, A.W.M.[Arnold W. M.],
Gevers, T.[Theo],
Color constancy from physical principles,
PRL(24), No. 11, July 2003, pp. 1653-1662.
Elsevier DOI
0304
BibRef
van de Weijer, J.[Joost],
Gevers, T.[Theo],
Gijsenij, A.[Arjan],
Edge-Based Color Constancy,
IP(16), No. 9, September 2007, pp. 2207-2214.
IEEE DOI
0709
BibRef
Gijsenij, A.[Arjan],
Gevers, T.[Theo],
van de Weijer, J.[Joost],
Improving Color Constancy by Photometric Edge Weighting,
PAMI(34), No. 5, May 2012, pp. 918-929.
IEEE DOI
1204
Use image derivatives to estimate illumination.
Different edge types (material, shadow, highlight) have different effects.
BibRef
Gijsenij, A.[Arjan],
Gevers, T.[Theo],
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JOSA-A(26), No. 10, October 2009, pp. 2243-2256.
WWW Link.
0910
BibRef
Earlier:
A Perceptual Comparison of Distance Measures for Color Constancy
Algorithms,
ECCV08(I: 208-221).
Springer DOI
0810
BibRef
Gijsenij, A.[Arjan],
Gevers, T.[Theo],
van de Weijer, J.[Joost],
Generalized Gamut Mapping using Image Derivative Structures for Color
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IJCV(86), No. 2-3, January 2010, pp. xx-yy.
Springer DOI
1001
BibRef
Gijsenij, A.[Arjan],
Gevers, T.[Theo],
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PAMI(33), No. 4, April 2011, pp. 687-698.
IEEE DOI
1103
BibRef
Earlier:
Color Constancy using Natural Image Statistics,
CVPR07(1-8).
IEEE DOI
0706
BibRef
And:
Color Constancy using Image Regions,
ICIP07(III: 501-504).
IEEE DOI
0709
Attempt to generalize to select best method based on statistics of image.
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Elfiky, N.,
Gevers, T.,
Gijsenij, A.,
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Color Constancy Using 3D Scene Geometry Derived From a Single Image,
IP(23), No. 9, September 2014, pp. 3855-3868.
IEEE DOI
1410
computational geometry
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Gijsenij, A.[Arjan],
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IP(20), No. 9, September 2011, pp. 2475-2489.
IEEE DOI
1109
Survey, Color Constancy.
BibRef
Gijsenij, A.[Arjan],
Lu, R.,
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Color Constancy for Multiple Light Sources,
IP(21), No. 2, February 2012, pp. 697-707.
IEEE DOI
1201
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Geusebroek, J.M.,
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Smeulders, A.W.M.,
Dev, A.,
Color and Scale: The Spatial Structure of Color Images,
ECCV00(I: 331-341).
Springer DOI
0003
BibRef
Geusebroek, J.M.[Jan-Mark],
Dev, A.[Anuj],
van den Boomgaard, R.[Rein],
Smeulders, A.W.M.[Arnold W.M.],
Cornelissen, F.[Frans],
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Color Invariant Determination of Material Changes in Reflection and
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Geusebroek, J.M.[Jan-Mark],
Smeulders, A.W.M.[Arnold W.M.],
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CVPR00(I: 50-57).
IEEE DOI
0005
BibRef
Geusebroek, J.M.,
Koelma, D.,
Smeulders, A.W.M.,
Gevers, T.,
Image retrieval and segmentation based on color invariants,
CVPR00(II: 784-785).
IEEE DOI
0403
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Geusebroek, J.M.,
Compact Object Descriptors from Local Colour Invariant Histograms,
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PDF File.
0609
BibRef
Wanderley, J.F.C.,
Fisher, M.H.,
Multiscale color invariants based on the human visual system,
IP(10), No. 11, November 2001, pp. 1630-1638.
IEEE DOI
0201
See also Spatial-Feature Parametric Clustering Applied to Motion-Based Segmentation in Camouflage.
BibRef
Wanderley, J.F.C.,
Fisher, M.H.,
Multiscale Color and Texture Invariants for Image Recognition,
ICIP01(I: 862-865).
IEEE DOI
0108
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Pei, S.C.[Soo-Chang],
Tseng, C.L.[Ching-Long],
Wu, C.C.[Chai-Che],
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JOSA-A(18), No. 11, November 2001, pp. 2641-2658.
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0201
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Spitzer, H.[Hedva],
Semo, S.[Sarit],
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Elsevier DOI
0206
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Perez, P.,
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Poisson Image Editing,
SigGraph03(313-318).
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0300
van Trigt, C.,
Illuminant-Dependence of Von Kries Type Quotients,
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DOI Link
0410
Von Kries: the cone signal of a reflectance under some illuminant divided
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Hardy, J.L.[Joseph L.],
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Delahunt, P.B.[Peter B.],
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van de Weijer, J.[Joost],
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0512
Incorporate color in the saliency computations.
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Amato, A.,
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Gonzalez, J.,
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IP(20), No. 10, October 2011, pp. 2954-2966.
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1110
BibRef
van de Weijer, J.,
Gevers, T.,
Boosting Saliency in Color Image Features,
CVPR05(I: 365-372).
IEEE DOI
0507
BibRef
Gevers, T.,
Smeulders, A.W.M.,
Color Constant Ratio Gradients for Image Segmentation and Similarity of
Textured Objects,
CVPR01(I:18-25).
IEEE DOI
0110
BibRef
Gevers, T.,
Stokman, H.M.G.,
van de Weijer, J.,
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PDF File.
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Color Constancy.
BibRef
Gooch, A.A.,
Olsen, S.C.,
Tumblin, J., and
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Stokman, H.M.G.[Harro M.G.], and
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Selection and Fusion of Color Models for Image Feature Detection,
PAMI(29), No. 3, March 2007, pp. 371-381.
IEEE DOI
0702
BibRef
Earlier:
Selection and Fusion of Color Models for Feature Detection,
CVPR05(I: 560-565).
IEEE DOI
0507
Select the best color space for the processing.
BibRef
van Gemert, J.C.[Jan C.],
Burghouts, G.J.[Gertjan J.],
Seinstra, F.J.[Frank J.],
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Burghouts, G.J.[Gertjan J.],
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0812
Local descriptors, Colour, SIFT
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Burghouts, G.J.[Gertjan J.],
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0804
Image modeling, Color, Codebook representation, Texture, Textons
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Ebner, M.,
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IP(16), No. 11, November 2007, pp. 2697-2706.
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Agarwal, V.,
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Koschan, A.F.,
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PDF File.
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Zickler, T.E.[Todd E.],
Mallick, S.P.[Satya P.],
Kriegman, D.J.[David J.],
Belhumeur, P.N.[Peter N.],
Color Subspaces as Photometric Invariants,
IJCV(79), No. 1, August 2008, pp. xx-yy.
Springer DOI
0804
BibRef
Earlier:
CVPR06(II: 2000-2010).
IEEE DOI
0606
BibRef
Chong, H.Y.[Hamilton Y.],
Gortler, S.J.[Steven J.],
Zickler, T.E.[Todd E.],
The von Kries Hypothesis and a Basis for Color Constancy,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Chakrabarti, A.[Ayan],
Hirakawa, K.[Keigo],
Zickler, T.E.[Todd E.],
Color Constancy with Spatio-Spectral Statistics,
PAMI(34), No. 8, August 2012, pp. 1509-1519.
IEEE DOI
1206
BibRef
Earlier:
Color constancy beyond bags of pixels,
CVPR08(1-6).
IEEE DOI
0806
Maximum likelihood for removing the color from the dominant scene illuminant.
Use statistics of colors in white balanced regions.
BibRef
Chakrabarti, A.,
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IEICE(E91-D), No. 7, July 2008, pp. 2091-2094.
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0807
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0802
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ICIP09(685-688).
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0911
BibRef
Lu, R.[Rui],
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Nedovic, V.[Vladimir],
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Geusebroek, J.M.[Jan-Mark],
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ICCV09(1749-1756).
IEEE DOI
0909
BibRef
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IEICE(E92-D), No. 11, November 2009, pp. 2279-2282.
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0911
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IEICE(E90-D), No. 7, July 2007, pp. 1121-1124.
DOI Link
0707
Color Constancy.
Grey-World assumption: the average reflectance of surfaces in
the world is achromatic.
BibRef
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Ciocca, G.[Gianluigi],
Cusano, C.[Claudio],
Schettini, R.[Raimondo],
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0811
BibRef
Earlier:
Classification-Based Color Constancy,
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Springer DOI
0809
BibRef
Bianco, S.[Simone],
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Elsevier DOI
1604
Image classification
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Color Constancy Using Single Colors,
Color12(II: 390-400).
Springer DOI
1210
BibRef
Bianco, S.[Simone],
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Cusano, C.[Claudio],
Schettini, R.[Raimondo],
Automatic color constancy algorithm selection and combination,
PR(43), No. 3, March 2010, pp. 695-705.
Elsevier DOI
1001
Color constancy, Image indexing, Classification, Decision forests
BibRef
Bianco, S.[Simone],
Schettini, R.[Raimondo],
Adaptive Color Constancy Using Faces,
PAMI(36), No. 8, August 2014, pp. 1505-1518.
IEEE DOI
1407
BibRef
Earlier:
Color constancy using faces,
CVPR12(65-72).
IEEE DOI
1208
BibRef
Earlier:
Computational color constancy,
EUVIP11(1-7).
IEEE DOI
1110
Algorithm design and analysis
See also Error-Tolerant Color Rendering for Digital Cameras.
BibRef
Bianco, S.[Simone],
Ciocca, G.[Gianluigi],
Cusano, C.[Claudio],
Color Constancy Algorithm Selection Using CART,
CCIW09(31-40).
Springer DOI
0903
BibRef
Bianco, S.[Simone],
Cusano, C.[Claudio],
Color Target Localization under Varying Illumination Conditions,
CCIW11(245-255).
Springer DOI
1104
BibRef
Bianco, S.[Simone],
Bruna, A.[Arcangelo],
Naccari, F.[Filippo],
Schettini, R.[Raimondo],
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Larlus, D.,
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IP(18), No. 7, July 2009, pp. 1512-1523.
IEEE DOI
0906
BibRef
Earlier: A1, A2, A3, Only:
Learning Color Names from Real-World Images,
CVPR07(1-8).
IEEE DOI
0706
BibRef
van de Weijer, J.[Joost],
Schmid, C.[Cordelia],
Applying Color Names to Image Description,
ICIP07(III: 493-496).
IEEE DOI
0709
BibRef
Earlier:
Blur Robust and Color Constant Image Description,
ICIP06(993-996).
IEEE DOI
0610
BibRef
van de Weijer, J.[Joost],
Schmid, C.[Cordelia],
Verbeek, J.[Jakob],
Using High-Level Visual Information for Color Constancy,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Gijsenij, A.[Arjan],
Gevers, T.[Theo],
van de Weijer, J.[Joost],
Physics-based edge evaluation for improved color constancy,
CVPR09(581-588).
IEEE DOI
0906
BibRef
Skaff, S.[Sandra],
Arbel, T.[Tal],
Clark, J.J.[James J.],
A sequential Bayesian approach to color constancy using non-uniform
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CVIU(113), No. 9, September 2009, pp. 993-1004.
Elsevier DOI
0907
BibRef
Earlier:
Active bayesian color constancy with non-uniform sensors,
ICPR02(II: 681-684).
IEEE DOI
0211
Color constancy, Bayesian, Sequential: chaining, Posterior, Prior;
Filters: binary, Multiple
BibRef
Skaff, S.,
Clark, J.J.,
Rekleitis, I.,
Estimating Surface Reflectance Spectra for Underwater Color Vision,
BMVC08(xx-yy).
PDF File.
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BibRef
Clark, J.J.[James J.],
Skaff, S.[Sandra],
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JOSA-A(26), No. 12, December 2009, pp. 2488-2502.
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1001
BibRef
Skaff, S.[Sandra],
Clark, J.J.[James J.],
Spectral color constancy using a maximum entropy approach,
JOSA-A(28), No. 11, November 2011, pp. 2385–2399.
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1111
BibRef
Rezagholizadeh, M.[Mehdi],
Clark, J.J.[James J.],
Photon Detection and Color Perception at Low Light Levels,
CRV14(283-290)
IEEE DOI
1406
Color
BibRef
Rezagholizadeh, M.[Mehdi],
Clark, J.J.[James J.],
Edge-Based and Efficient Chromaticity Spatio-spectral Models for
Color Constancy,
CRV13(188-195)
IEEE DOI
1308
Accuracy
BibRef
Clark, J.J.,
O'Regan, J.K.,
A Temporal-difference Model of Perceptual Stability in Color Vision,
ICPR00(Vol II: 503-506).
IEEE DOI
0009
BibRef
Lecca, M.[Michela],
Messelodi, S.[Stefano],
Computing von Kries Illuminant Changes by Piecewise Inversion of
Cumulative Color Histograms,
ELCVIA(8), No. 2, July 2009, pp. xx-yy.
DOI Link
1002
BibRef
Lecca, M.[Michela],
Messelodi, S.[Stefano],
Linking the von Kries model to Wien's law for the estimation of an
illuminant invariant image,
PRL(32), No. 15, 1 November 2011, pp. 2086-2096.
Elsevier DOI
1112
BibRef
Earlier:
Von Kries Model under Planckian Illuminants,
CIAP11(I: 296-305).
Springer DOI
1109
Color, Illuminant changes, Wien's law, Bradford transform, von Kries
model, Intrinsic image
BibRef
Ratnasingam, S.[Sivalogeswaran],
Collins, S.[Steve],
Study of the photodetector characteristics of a camera for color
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JOSA-A(27), No. 2, February 2010, pp. 286-294.
WWW Link.
1002
BibRef
Earlier:
Optimum Sensors for 'Chromaticity' Constancy in the Pixel,
CIAP09(748-756).
Springer DOI
0909
BibRef
Earlier:
An Algorithm to Determine the Chromaticity Under Non-uniform Illuminant,
ICISP08(244-253).
Springer DOI
0807
BibRef
Ratnasingam, S.[Sivalogeswaran],
Collins, S.[Steve],
Hernández-Andrés, J.[Javier],
Extending 'color constancy' outside the visible region,
JOSA-A(28), No. 4, April 2011, pp. 541-547.
WWW Link.
1104
To get illuminant-invariant reflectance features
from data in the near-ultraviolet (UV) and near-infrared (IR)
wavelength regions.
Extend:
See also Study of the photodetector characteristics of a camera for color constancy in natural scenes.
BibRef
Huynh, C.P.[Cong Phuoc],
Robles-Kelly, A.[Antonio],
A Solution of the Dichromatic Model for Multispectral Photometric
Invariance,
IJCV(90), No. 1, October 2010, pp. xx-yy.
Springer DOI
1007
BibRef
Earlier:
Simultaneous photometric invariance and shape recovery,
ICCV09(1757-1764).
IEEE DOI
0909
BibRef
Earlier:
Optimal Solution of the Dichromatic Model for Multispectral Photometric
Invariance,
SSPR08(382-391).
Springer DOI
0812
BibRef
Ratnasingam, S.[Sivalogeswaran],
Collins, S.[Steve],
Hernández-Andrés, J.[Javier],
Optimum sensors for color constancy in scenes illuminated by daylight,
JOSA-A(27), No. 10, October 2010, pp. 2198-2207.
WWW Link.
1011
BibRef
Ratnasingam, S.[Sivalogeswaran],
Hernández-Andrés, J.[Javier],
Illuminant spectrum estimation at a pixel,
JOSA-A(28), No. 4, April 2011, pp. 696-703.
WWW Link.
1104
Estimate the illuminant.
BibRef
Ratnasingam, S.,
McGinnity, T.M.,
Chromaticity Space for Illuminant Invariant Recognition,
IP(21), No. 8, August 2012, pp. 3612-3623.
IEEE DOI
1208
BibRef
Ratnasingam, S.[Sivalogeswaran],
Robles-Kelly, A.[Antonio],
A spectral reflectance representation for recognition and reproduction,
ICPR12(1900-1903).
WWW Link.
1302
BibRef
Wu, M.[Meng],
Sun, J.[Jun],
Zhou, J.[Jun],
Xue, G.J.[Geng-Jian],
Color constancy based on texture pyramid matching and regularized local
regression,
JOSA-A(27), No. 10, October 2010, pp. 2097-2105.
WWW Link.
1011
BibRef
And: A1, A3, A2, A4:
Texture-based color constancy using local regression,
ICIP10(1353-1356).
IEEE DOI
1009
BibRef
Wu, M.[Meng],
Luo, K.[Kai],
Dang, J.J.[Jian-Jun],
Zhou, J.[Jun],
Edge-moment-based color constancy using illumination-coherent
regularized regression,
JOSA-A(32), No. 9, September 2015, pp. 1707-1716.
DOI Link
1509
Machine vision, Illumination, Color, Color vision
BibRef
Xue, G.J.[Geng-Jian],
Song, L.[Li],
Sun, J.[Jun],
Foreground Estimation Based on Linear Regression Model With Fused
Sparsity on Outliers,
CirSysVideo(23), No. 8, 2013, pp. 1346-1357.
IEEE DOI
1307
Adaptation models
BibRef
Xue, G.J.[Geng-Jian],
Song, L.[Li],
Sun, J.[Jun],
Wu, M.[Meng],
Foreground estimation based on robust linear regression model,
ICIP11(3269-3272).
IEEE DOI
1201
BibRef
Grundhöfer, A.[Anselm],
Kurz, D.[Daniel],
Thiele, S.[Sebastian],
Bimber, O.[Oliver],
Color invariant chroma keying and color spill neutralization for
dynamic scenes and cameras,
VC(26), No. 9, September 2010, pp. 1167-1176.
WWW Link.
1101
BibRef
Allen, E.C.[Elizabeth C.],
Beilock, S.L.[Sian L.],
Shevell, S.K.[Steven K.],
Individual differences in simultaneous color constancy are related to
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JOSA-A(29), No. 2, February 2012, pp. A52-A59.
WWW Link.
1202
BibRef
Kulikowski, J.J.[Janus J.],
Daugirdiene, A.[Ausra],
Panorgias, A.[Athanasios],
Stanikunas, R.[Rytis],
Vaitkevicius, H.[Henrikas],
Murray, I.J.[Ian J.],
Systematic violations of von Kries rule reveal its limitations for
explaining color and lightness constancy,
JOSA-A(29), No. 2, February 2012, pp. A275-A289.
WWW Link.
1202
BibRef
Panorgias, A.[Athanasios],
Kulikowski, J.J.[Janus J.],
Parry, N.R.A.[Neil R. A.],
McKeefry, D.J.[Declan J.],
Murray, I.J.[Ian J.],
The relationship between peripherally matched invariant hues and unique
hues: a cone-contrast approach,
JOSA-A(29), No. 2, February 2012, pp. A233-A239.
WWW Link.
1202
BibRef
Parry, N.R.A.[Neil R. A.],
Panorgias, A.[Athanasios],
McKeefry, D.J.[Declan J.],
Murray, I.J.[Ian J.],
Real-world stimuli show perceived hue shifts in the peripheral visual
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JOSA-A(29), No. 2, February 2012, pp. A96-A101.
WWW Link.
1202
BibRef
Lee, R.J.,
Smithson, H.E.,
Context-dependent judgments of color that might allow color constancy
in scenes with multiple regions of illumination,
JOSA-A(29), No. 2, February 2012, pp. A247-A257.
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1202
BibRef
Duncan, C.S.[Chad S.],
Roth, E.J.[Eric J.],
Mizokami, Y.[Yoko],
McDermott, K.C.[Kyle C.],
Crognale, M.A.[Michael A.],
Contrast adaptation reveals increased organizational complexity of
chromatic processing in the visual evoked potential,
JOSA-A(29), No. 2, February 2012, pp. A152-A156.
WWW Link.
1202
BibRef
Limare, N.[Nicolas],
Lisani, J.L.[Jose-Luis],
Morel, J.M.[Jean-Michel],
Petro, A.B.[Ana Belén],
Sbert, C.[Catalina],
Simplest Color Balance,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link
1202
Code, Color Balance.
BibRef
Vazquez-Corral, J.,
Vanrell, M.[María],
Baldrich, R.[Ramón],
Tous, F.[Francesc],
Color Constancy by Category Correlation,
IP(21), No. 4, April 2012, pp. 1997-2007.
IEEE DOI
1204
BibRef
Vanrell, M.[Maria],
Murray, N.[Naila],
Benavente, R.[Robert],
Párraga, A.[Alejandro],
Otazu, X.[Xavier],
Baldrich, R.[Ramon],
Perception Based Representations for Computational Colour,
CCIW11(16-30).
Springer DOI
1104
BibRef
Tous, F.[Francesc],
Vanrell, M.[María],
Baldrich, R.[Ramón],
Relaxed Grey-World: Computational Colour Constancy by Surface Matching,
IbPRIA05(I:192).
Springer DOI
0509
BibRef
Chang, F.J.[Feng-Ju],
Pei, S.C.[Soo-Chang],
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Color constancy by chromaticity neutralization,
JOSA-A(29), No. 10, October 2012, pp. 2217-2225.
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1210
BibRef
Ratnasingam, S.[Sivalogeswaran],
Collins, S.[Steve],
Hernández-Andrés, J.[Javier],
Analysis of colour constancy algorithms using the knowledge of
variation of correlated colour temperature of daylight with solar
elevation,
JIVP(2013), No. 1, 2013, pp. xx-yy.
DOI Link
1303
BibRef
Banic, N.,
Loncaric, S.,
Color Cat: Remembering Colors for Illumination Estimation,
SPLetters(22), No. 6, June 2015, pp. 651-655.
IEEE DOI
1411
Cameras
BibRef
Li, B.[Bing],
Xiong, W.H.[Wei-Hua],
Hu, W.M.[Wei-Ming],
Funt, B.,
Evaluating Combinational Illumination Estimation Methods on
Real-World Images,
IP(23), No. 3, March 2014, pp. 1194-1209.
IEEE DOI
1403
combinatorial mathematics
BibRef
Li, B.[Bing],
Xiong, W.H.[Wei-Hua],
Hu, W.M.[Wei-Ming],
Wu, O.[Ou],
Evaluating combinational color constancy methods on real-world images,
CVPR11(1929-1936).
IEEE DOI
1106
BibRef
van Trigt, C.,
Open problems in color constancy: discussion,
JOSA-A(31), No. 2, February 2014, pp. 338-347.
DOI Link
1403
Vision, color, and visual optics
BibRef
Fukuda, K.[Kazuho],
Uchikawa, K.[Keiji],
Color constancy in a scene with bright colors that do not have a
fully natural surface appearance,
JOSA-A(31), No. 4, April 2014, pp. A239-A246.
DOI Link
1404
Color vision, Psychophysics
BibRef
Mizokami, Y.[Yoko],
Yaguchi, H.[Hirohisa],
Color constancy influenced by unnatural spatial structure,
JOSA-A(31), No. 4, April 2014, pp. A179-A185.
DOI Link
1404
Vision, color, and visual optics, Color vision, Psychophysics
BibRef
Murray, I.J.,
Daugirdiene, A.,
Panorgias, A.,
Stanikunas, R.,
Kulikowski, J.J.,
Kelly, J.M.F.,
Lightness constancy and its link with cone contrast,
JOSA-A(31), No. 4, April 2014, pp. A350-A356.
DOI Link
1404
Color vision
BibRef
Daugirdiene, A.,
Kulikowski, J.J.,
Murray, I.J.,
Kelly, J.M.F.,
Test illuminant location with respect to the Planckian locus affects
chromaticity shifts of real Munsell chips,
JOSA-A(33), No. 3, March 2016, pp. A77-A84.
DOI Link
1603
Color
BibRef
Cheng, D.L.[Dong-Liang],
Prasad, D.K.[Dilip K.],
Brown, M.S.[Michael S.],
Illuminant estimation for color constancy:
Why spatial-domain methods work and the role of the color distribution,
JOSA-A(31), No. 5, May 2014, pp. 1049-1058.
DOI Link
1405
Cameras, Illumination, Color vision, Color, rendering and metamerism
BibRef
Vázquez, J.[Javier],
Colour constancy in natural images through colour naming and sensor
sharpening,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
DOI Link
1407
Ph.D.. Thesis.
BibRef
Faghih, M.M.[Mohammad Mehdi],
Moghaddam, M.E.[Mohsen Ebrahimi],
A two-level classification-based color constancy,
SIViP(9), No. 6, September 2015, pp. 1299-1316.
WWW Link.
1509
BibRef
Liu, Y.[Yang],
Gevers, T.[Theo],
Li, X.Q.[Xue-Qing],
Color constancy by combining low-mid-high level image cues,
CVIU(140), No. 1, 2015, pp. 1-8.
Elsevier DOI
1509
Color constancy
BibRef
Celik, T.[Turgay],
Yetgin, Z.[Zeki],
Grey-wavelet:
Unifying grey-world and grey-edge colour constancy algorithms,
SIViP(9), No. 8, November 2015, pp. 1889-1896.
WWW Link.
1511
BibRef
Simao, J.[Josemar],
Schneebeli, H.J.A.[Hans Jorg Andreas],
Vassallo, R.F.[Raquel Frizera],
Iterative color constancy with temporal filtering for an image
sequence with no relative motion between the camera and the scene,
JOSA-A(32), No. 11, November 2015, pp. 2033-2043.
DOI Link
1512
Image processing
BibRef
Zhang, X.S.[Xian-Shi],
Gao, S.B.[Shao-Bing],
Li, R.X.[Ruo-Xuan],
Du, X.Y.[Xin-Yu],
Li, C.Y.[Chao-Yi],
Li, Y.J.[Yong-Jie],
A Retinal Mechanism Inspired Color Constancy Model,
IP(25), No. 3, March 2016, pp. 1219-1232.
IEEE DOI
1602
cellular biophysics
BibRef
Morimoto, T.[Takuma],
Fukuda, K.[Kazuho],
Uchikawa, K.[Keiji],
Effects of surrounding stimulus properties on color constancy based
on luminance balance,
JOSA-A(33), No. 3, March 2016, pp. A214-A227.
DOI Link
1603
Color, Color vision
BibRef
Ma, R.[Ruiqing],
Kawamoto, K.I.[Ken-Ichiro],
Shinomori, K.[Keizo],
Color constancy of color-deficient observers under illuminations
defined by individual color discrimination ellipsoids,
JOSA-A(33), No. 3, March 2016, pp. A283-A299.
DOI Link
1603
Vision, color, and visual optics
BibRef
Lee, R.J.[Robert J.],
Smithson, H.E.[Hannah E.],
Low levels of specularity support operational color constancy,
particularly when surface and illumination geometry can be inferred,
JOSA-A(33), No. 3, March 2016, pp. A306-A318.
DOI Link
1603
Machine vision
BibRef
Zhao, B.[Bin],
Xing, E.P.[Eric P.],
Sparse Output Coding for Scalable Visual Recognition,
IJCV(119), No. 1, August 2016, pp. 60-75.
Springer DOI
1608
BibRef
Earlier:
Sparse Output Coding for Large-Scale Visual Recognition,
CVPR13(3350-3357)
IEEE DOI
1309
BibRef
Oh, S.W.[Seoung Wug],
Kim, S.J.[Seon Joo],
Approaching the computational color constancy as a classification
problem through deep learning,
PR(61), No. 1, 2017, pp. 405-416.
Elsevier DOI
1705
Computational color constancy
BibRef
Gao, S.B.[Shao-Bing],
Zhang, M.[Ming],
Li, C.Y.[Chao-Yi],
Li, Y.J.[Yong-Jie],
Improving color constancy by discounting the variation of camera
spectral sensitivity,
JOSA-A(34), No. 8, August 2017, pp. 1448-1462.
DOI Link
1708
Image processing, Color, vision
BibRef
Aytekin, Ç.,
Nikkanen, J.,
Gabbouj, M.,
A Data Set for Camera-Independent Color Constancy,
IP(27), No. 2, February 2018, pp. 530-544.
IEEE DOI
1712
Dataset, Color Constancy. Cameras, Image color analysis, Lighting, Reflectivity, Robustness,
Sensitivity, Training, Color constancy, color shading,
platform independence
BibRef
Woo, S.M.,
Lee, S.H.,
Yoo, J.S.,
Kim, J.O.,
Improving Color Constancy in an Ambient Light Environment Using the
Phong Reflection Model,
IP(27), No. 4, April 2018, pp. 1862-1877.
IEEE DOI
1802
Estimation, Image color analysis, Image segmentation,
Light sources, Lighting, Reflection, Reflectivity, Color constancy,
white balancing
BibRef
Amano, K.[Kinjiro],
Linhares, J.M.M.[Joao M. M.],
Nascimento, S.M.C.[Sergio M. C.],
Color constancy of color reproductions in art paintings,
JOSA-A(35), No. 4, April 2018, pp. B324-B333.
DOI Link
1804
Color, Color, measurement , Color vision, Color, rendering and metamerism
BibRef
Kelly, J.M.F.[Jeremiah M. F.],
Daugirdiene, A.[Ausra],
Kulikowski, J.J.[Janus J.],
Murray, I.J.[Ian J.],
Chips in the sunshine: color constancy with real versus simulated
Munsell chips under illuminants adjacent to the daylight locus,
JOSA-A(35), No. 4, April 2018, pp. B100-B105.
DOI Link
1804
Color, Color, measurement , Color vision, Colorimetry, Color, rendering and metamerism
BibRef
Wan, L.[Lifang],
Shinomori, K.[Keizo],
Possible influences on color constancy by motion of color targets and
by attention-controlled gaze,
JOSA-A(35), No. 4, April 2018, pp. B309-B323.
DOI Link
1804
Vision, color, and visual optics , Color vision,
Vision - eye movements , Vision modeling , Motion detection, Vision adaptation
BibRef
Akbarinia, A.[Arash],
Gegenfurtner, K.R.[Karl R.],
Color metamerism and the structure of illuminant space,
JOSA-A(35), No. 4, April 2018, pp. B231-B238.
DOI Link
1804
Vision - photoreceptors , Spectral discrimination, Color,
rendering and metamerism
BibRef
Akbarinia, A.,
Parraga, C.A.[C. Alejandro],
Colour Constancy Beyond the Classical Receptive Field,
PAMI(40), No. 9, September 2018, pp. 2081-2094.
IEEE DOI
1808
Image color analysis, Neurons, Radio frequency, Adaptation models,
Color, Brain modeling, Modulation, Colour constancy,
centre-surround contrast
BibRef
Wang, F.[Fei],
Wang, W.[Wei],
Qiu, Z.L.[Zhi-Liang],
Color correction algorithm for color constancy finite dimensional
linear model under complex illumination,
PRL(116), 2018, pp. 233-237.
Elsevier DOI
1812
Complex illumination, Color constancy, Finite dimension,
A linear model, Color correction
BibRef
Zhan, H.F.[He-Feng],
Shi, S.X.[Song-Xin],
Huo, Y.[Yang],
Computational colour constancy based on convolutional neural networks
with a cross-level architecture,
IET-IPR(13), No. 8, 20 June 2019, pp. 1304-1313.
DOI Link
1906
BibRef
Gao, S.,
Ren, Y.,
Zhang, M.,
Li, Y.,
Combining Bottom-Up and Top-Down Visual Mechanisms for Color
Constancy Under Varying Illumination,
IP(28), No. 9, Sep. 2019, pp. 4387-4400.
IEEE DOI
1908
image colour analysis, multiilluminant-based color constancy,
human visual system, HVS, spatially varying illumination,
biologically inspired vision
BibRef
Li, X.Q.A.[Xiao-Qi-Ang],
Zhu, Y.Q.[Ya-Qin],
Han, J.Y.[Jia-Yue],
Li, J.[Jide],
Lian, H.C.[Hui-Cheng],
Tong, W.Q.[Wei-Qin],
TDCC: top-down semantic aggregation for colour constancy,
IET-IPR(13), No. 11, 19 September 2019, pp. 1944-1950.
DOI Link
1909
BibRef
Afifi, M.[Mahmoud],
Punnappurath, A.[Abhijith],
Finlayson, G.[Graham],
Brown, M.S.[Michael S.],
As-projective-as-possible bias correction for illumination estimation
algorithms,
JOSA-A(36), No. 1, January 2019, pp. 71-78.
DOI Link
1912
Color constancy, Color rendering, Color spaces, Illumination,
Visual system, White light
BibRef
Li, Z.J.[Zhi-Jiang],
Zhu, H.N.[Hao-Nan],
Zhou, C.X.[Chun-Xia],
Cao, L.Q.[Li-Qin],
Zhong, Y.F.[Yan-Fei],
Zeng, T.[Tao],
Liu, J.Q.[Jian-Qiang],
A Color Consistency Processing Method for HY-1C Images of Antarctica,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Qiu, J.,
Xu, H.,
Ye, Z.,
Color Constancy by Reweighting Image Feature Maps,
IP(29), 2020, pp. 5711-5721.
IEEE DOI
2005
Image color analysis, Estimation, Feature extraction, Kernel,
Computational modeling, Convolution, Task analysis,
computer vision
BibRef
Laakom, F.,
Passalis, N.,
Raitoharju, J.,
Nikkanen, J.,
Tefas, A.,
Iosifidis, A.,
Gabbouj, M.,
Bag of Color Features for Color Constancy,
IP(29), 2020, pp. 7722-7734.
IEEE DOI
2007
Color constancy, illumination estimation, bag of features, attention mechanism
BibRef
Huang, X.W.[Xin-Wei],
Li, B.[Bing],
Li, S.[Shuai],
Li, W.J.[Wen-Juan],
Xiong, W.H.[Wei-Hua],
Yin, X.W.[Xuan-Wu],
Hu, W.M.[Wei-Ming],
Qin, H.[Hong],
Multi-Cue Semi-Supervised Color Constancy With Limited Training
Samples,
IP(29), 2020, pp. 7875-7888.
IEEE DOI
2007
Color constancy, illumination estimation, white balancing,
multi-cue, semi-supervised
BibRef
Li, B.[Bing],
Qin, H.[Haina],
Xiong, W.H.[Wei-Hua],
Li, Y.X.[Yang-Xi],
Feng, S.[Songhe],
Hu, W.M.[Wei-Ming],
Maybank, S.[Stephen],
Ranking-Based Color Constancy With Limited Training Samples,
PAMI(45), No. 10, October 2023, pp. 12304-12320.
IEEE DOI
2310
BibRef
Kerouh, F.,
Ziou, D.,
Jiang, Q.,
Directional statistics-based quality measure for spotlight color images,
SIViP(14), No. 6, September 2020, pp. 1125-1132.
Springer DOI
2008
Color changes with lighting.
BibRef
Liu, J.P.[Jin-Ping],
He, J.Z.[Jie-Zhou],
Xie, Y.F.[Yong-Fang],
Gui, W.H.[Wei-Hua],
Tang, Z.H.[Zhao-Hui],
Ma, T.Y.[Tian-Yu],
He, J.B.[Jun-Bin],
Niyoyita, J.P.[Jean Paul],
Illumination-Invariant Flotation Froth Color Measuring via
Wasserstein Distance-Based CycleGAN With Structure-Preserving
Constraint,
Cyber(51), No. 2, February 2021, pp. 839-852.
IEEE DOI
2101
Image color analysis, Lighting, Monitoring, Computational modeling,
Light sources, Task analysis, Generative adversarial networks,
Wasserstein distance
BibRef
Yoo, J.S.[Jun-Sang],
Lee, C.H.[Chan-Ho],
Kim, J.O.[Jong-Ok],
Deep Dichromatic Model Estimation Under AC Light Sources,
IP(30), 2021, pp. 7064-7073.
IEEE DOI
2108
BibRef
Earlier:
Deep Temporal Color Constancy for AC Light Sources,
VCIP20(217-221)
IEEE DOI
2102
Image color analysis, Computational modeling, Estimation,
Task analysis, Dictionaries, Light sources,
AC light.
cameras, image colour analysis,
learning (artificial intelligence), lighting,
temporal correlation
BibRef
Yoo, J.S.[Jun-Sang],
Kim, J.O.[Jong-Ok],
Dichromatic Model Based Temporal Color Constancy for AC Light Sources,
CVPR19(12321-12330).
IEEE DOI
2002
BibRef
Abedini, Z.[Zeinab],
Jamzad, M.[Mansour],
Weight-based colour constancy using contrast stretching,
IET-IPR(15), No. 11, 2021, pp. 2424-2440.
DOI Link
2108
BibRef
Domislovic, I.[Ilija],
Vršnak, D.[Donik],
Subašic, M.[Marko],
Loncaric, S.[Sven],
One-net: Convolutional color constancy simplified,
PRL(159), 2022, pp. 31-37.
Elsevier DOI
2206
Illumination estimation, Color constancy,
Convolutional neural network, Image color analysis, Image processing
BibRef
Li, Y.X.[Yin-Xuan],
Yin, H.C.[Hong-Che],
Yao, J.[Jian],
Wang, H.Y.[Han-Yun],
Li, L.[Li],
A unified probabilistic framework of robust and efficient color
consistency correction for multiple images,
PandRS(190), 2022, pp. 1-24.
Elsevier DOI
2208
Color correction, Probabilistic framework, Image mosaicking,
Multiple images, Parallel
BibRef
Vršnak, D.[Donik],
Domislovic, I.[Ilija],
Subašic, M.[Marko],
Loncaric, S.[Sven],
Illuminant segmentation for multi-illuminant scenes using latent
illumination encoding,
SP:IC(108), 2022, pp. 116822.
Elsevier DOI
2209
Color constancy, Segmentation, Multi illuminant, Illumination estimation
BibRef
Zhao, Y.F.[Yun-Feng],
Ferguson, S.[Stuart],
Zhou, H.Y.[Hui-Yu],
Elliott, C.[Christopher],
Rafferty, K.[Karen],
Color Alignment for Relative Color Constancy via Non-Standard
References,
IP(31), 2022, pp. 6591-6604.
IEEE DOI
2211
Image color analysis, Cameras, Lighting, Calibration, Standards,
Imaging, Reflectivity, Relative colour constancy,
camera colour calibration
BibRef
Xie, M.[Mengda],
Sun, P.[Peng],
Lang, Y.[Yubo],
Fang, M.[Meie],
Camera-independent color constancy by scene semantics,
PRL(171), 2023, pp. 106-115.
Elsevier DOI
2306
Color constancy, Illuminant estimation, Scene semantics, Gray-based assumptions
BibRef
Zhao, Z.C.[Zi-Chen],
Hu, H.M.[Hai-Miao],
Zhang, H.[Hongda],
Chen, F.[Fei],
Guo, Q.[Qiang],
Improving Color Constancy Using Chromaticity-Line Prior,
MultMed(25), 2023, pp. 3642-3656.
IEEE DOI
2310
BibRef
Koskinen, S.[Samu],
Acar, E.[Erman],
Kämäräinen, J.K.[Joni-Kristian],
Single Pixel Spectral Color Constancy,
IJCV(132), No. 2, February 2024, pp. 287-299.
Springer DOI
2402
BibRef
Fan, Y.[Yi],
Ren, H.Y.[Hao-Yu],
Huang, H.[Hsilin],
Fusion Temporal Color Constancy,
ICIP22(2366-2370)
IEEE DOI
2211
Deep learning, Recurrent neural networks, Image color analysis,
Estimation, Benchmark testing, Convolutional neural networks
BibRef
Ulucan, O.[Oguzhan],
Ulucan, D.[Diclehan],
Ebner, M.[Marc],
Color Constancy Beyond Standard Illuminants,
ICIP22(2826-2830)
IEEE DOI
2211
Temperature, Image color analysis, Image edge detection,
Neural networks, Visual systems, Benchmark testing, White Balance
BibRef
Dubuisson, I.,
Muselet, D.,
Basso-Bert, Y.,
Trémeau, A.,
Laganière, R.,
Predicting the Colors of Reference Surfaces for Color Constancy,
ICIP22(1761-1765)
IEEE DOI
2211
Image color analysis, Estimation, Prediction algorithms, Cameras,
Task analysis, Sun, Color constancy, light color estimation, color checker
BibRef
Ono, T.[Taishi],
Kondo, Y.[Yuhi],
Sun, L.[Legong],
Kurita, T.[Teppei],
Moriuchi, Y.[Yusuke],
Degree-of-linear-polarization-based Color Constancy,
CVPR22(19708-19717)
IEEE DOI
2210
Deep learning, Runtime, Computational modeling, Neural networks,
Lighting, Color, Computational photography, Computer vision theory
BibRef
Xing, X.Y.[Xiao-Yan],
Qian, Y.L.[Yan-Lin],
Feng, S.[Sibo],
Dong, Y.H.[Yu-Han],
Matas, J.G.[Jirí G.],
Point Cloud Color Constancy,
CVPR22(19718-19727)
IEEE DOI
2210
Point cloud compression, Geometry, Cloud computing, Lighting,
Estimation, Color, Benchmark testing, Computational photography,
Low-level vision
BibRef
Afifi, M.[Mahmoud],
Barron, J.T.[Jonathan T.],
Le Gendre, C.[Chloe],
Tsai, Y.T.[Yun-Ta],
Bleibel, F.[Francois],
Cross-Camera Convolutional Color Constancy,
ICCV21(1961-1970)
IEEE DOI
2203
Training, Photography, Learning systems, Adaptation models,
Image color analysis, Memory management, Training data,
Low-level and physics-based vision
BibRef
Das, P.[Partha],
Liu, Y.[Yang],
Karaoglu, S.[Sezer],
Gevers, T.[Theo],
Generative Models for Multi-Illumination Color Constancy,
PBDL21(1194-1203)
IEEE DOI
2112
Image color analysis, Lighting,
Estimation, Physics, Light sources
BibRef
Lo, Y.C.[Yi-Chen],
Chang, C.C.[Chia-Che],
Chiu, H.C.[Hsuan-Chao],
Huang, Y.H.[Yu-Hao],
Chen, C.P.[Chia-Ping],
Chang, Y.L.[Yu-Lin],
Jou, K.[Kevin],
CLCC: Contrastive Learning for Color Constancy,
CVPR21(8049-8059)
IEEE DOI
2111
Deep learning, Visualization,
Image color analysis, Computational modeling, Data models, Pattern recognition
BibRef
Laakom, F.,
Raitoharju, J.,
Iosifidis, A.,
Tuna, U.,
Nikkanen, J.,
Gabbouj, M.,
Probabilistic Color Constancy,
ICIP20(978-982)
IEEE DOI
2011
Image color analysis, Lighting, Optimization, Estimation,
Computational modeling, Task analysis, Probabilistic logic,
graph-based learning
BibRef
Teng, S.J.J.,
Gain-Pixel Visualization Algorithm Designed for Computational Color
Constancy Scheme,
ICIVC20(237-246)
IEEE DOI
2009
Image color analysis, Gray-scale, Mathematical model, Color,
Visualization,
gain-pixel visualization
BibRef
Hernandez-Juarez, D.,
Parisot, S.,
Busam, B.,
Leonardis, A.,
Slabaugh, G.,
McDonagh, S.,
A Multi-Hypothesis Approach to Color Constancy,
CVPR20(2267-2277)
IEEE DOI
2008
Image color analysis, Cameras, Training, Bayes methods, Estimation,
Task analysis, Light sources
BibRef
Xiao, J.,
Gu, S.,
Zhang, L.,
Multi-Domain Learning for Accurate and Few-Shot Color Constancy,
CVPR20(3255-3264)
IEEE DOI
2008
Image color analysis, Cameras, Feature extraction, Training data,
Training, Estimation, Performance evaluation
BibRef
Afifi, M.,
Brown, M.,
What Else Can Fool Deep Learning? Addressing Color Constancy Errors
on Deep Neural Network Performance,
ICCV19(243-252)
IEEE DOI
2004
computer graphics, image classification, image colour analysis,
image filtering, image segmentation, Image segmentation
BibRef
Bianco, S.[Simone],
Cusano, C.[Claudio],
Quasi-Unsupervised Color Constancy,
CVPR19(12204-12213).
IEEE DOI
2002
BibRef
Koskinen, S.[Samu],
Yang, D.[Dan],
Kämäräinen, J.K.[Joni-Kristian],
Reverse Imaging Pipeline for Raw RGB Image Augmentation,
ICIP19(2896-2900)
IEEE DOI
1910
Convert arbitrary images to raw RGB responses of a camera.
Data augmentation, imaging pipeline
BibRef
Hemrit, G.[Ghalia],
Matsushita, F.[Futa],
Uchida, M.[Mihiro],
Vazquez-Corral, J.[Javier],
Gong, H.[Han],
Tsumura, N.[Norimichi],
Finlayson, G.D.[Graham D.],
Using the Monge-Kantorovitch Transform in Chromagenic Color Constancy
for Pathophysiology,
CCIW19(121-133).
Springer DOI
1905
BibRef
Lee, S.H.,
Woo, S.M.,
Choi, J.H.,
Kim, J.O.,
Two-step multi-illuminant color constancy for outdoor scenes,
ICIP17(710-714)
IEEE DOI
1803
Brightness, Clustering algorithms, Color, Estimation,
Image color analysis, Indexes, Lighting, RGB correction,
two-step color constancy
BibRef
Aytekin, C.,
Nikkanen, J.,
Gabbouj, M.,
Deep multi-resolution color constancy,
ICIP17(3735-3739)
IEEE DOI
1803
Convolutional neural networks, Estimation, Image color analysis,
Image resolution, Lighting, Machine learning, Training,
multi-resolution
BibRef
Qian, Y.,
Yan, S.,
Kämäräinen, J.,
Matas, J.G.,
Flash Lightens Gray Pixels,
ICIP19(4604-4608)
IEEE DOI
1910
spatial illumination estimation, gray pixel, flash photography, color constancy
BibRef
Qian, Y.,
Chen, K.,
Nikkanen, J.,
Kämäräinen, J.K.,
Matas, J.G.,
Recurrent Color Constancy,
ICCV17(5459-5467)
IEEE DOI
1802
convolution, image colour analysis, image representation,
image sequences, learning (artificial intelligence),
Videos
BibRef
Hu, Y.,
Wang, B.,
Lin, S.,
FC^4: Fully Convolutional Color Constancy with Confidence-Weighted
Pooling,
CVPR17(330-339)
IEEE DOI
1711
Colored noise, Estimation, Image color analysis, Lighting,
Noise measurement, Semantics, Training
BibRef
Barron, J.T.,
Tsai, Y.T.,
Fast Fourier Color Constancy,
CVPR17(6950-6958)
IEEE DOI
1711
Cameras, Histograms, Image color analysis,
Standards,
BibRef
Qian, Y.L.[Yan-Lin],
Chen, K.,
Kämäräinen, J.K.,
Nikkanen, J.,
Matas, J.G.,
Deep structured-output regression learning for computational color
constancy,
ICPR16(1899-1904)
IEEE DOI
1705
Benchmark testing, Correlation, Feature extraction,
Image color analysis, Lighting, Support vector machines, Training
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Fourure, D.,
Emonet, R.,
Fromont, E.,
Muselet, D.,
Trémeau, A.,
Wolf, C.,
Mixed pooling neural networks for color constancy,
ICIP16(3997-4001)
IEEE DOI
1610
Computer architecture
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Cubillas, J.E.,
Japitana, M.,
The Application Of Support Vector Machine (SVM) Using CIELab Color
Model, Color Intensity And Color Constancy As Features For Ortho Image
Classification Of Benthic Habitats In Hinatuan, Surigao Del Sur,
Philippines,
ISPRS16(B7: 189-194).
DOI Link
1610
BibRef
Lakehal, E.[Elkhamssa],
Ziou, D.[Djemel],
Computer Vision Color Constancy from Maximal Projections Mean
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ICISP16(148-156).
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1606
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Lou, Z.Y.[Zhong-Yu],
Gevers, T.[Theo],
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Color Constancy by Deep Learning,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Bianco, S.[Simone],
Cusano, C.[Claudio],
Schettini, R.[Raimondo],
Color constancy using CNNs,
DeepLearn15(81-89)
IEEE DOI
1510
Estimation
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Prinet, V.[Veronique],
Lischinski, D.[Dani],
Werman, M.[Michael],
Illuminant Chromaticity from Image Sequences,
ICCV13(3320-3327)
IEEE DOI
1403
Color constancy, Image processing, Low-level vision, White balance
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Ying, X.H.[Xiang-Hua],
Hou, L.[Lulu],
Hou, Y.B.[Yong-Bo],
Kong, J.[Jing],
Zha, H.B.[Hong-Bin],
Canonicalized central absolute moment for edge-based color constancy,
ICIP13(2260-2263)
IEEE DOI
1402
Color constancy, Grey-Edge, higherorder image derivatives, moment
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Li, B.[Bing],
Xiong, W.H.[Wei-Hua],
Hu, W.M.[Wei-Ming],
Peng, H.[Houwen],
Illumination Estimation Based on Bilayer Sparse Coding,
CVPR13(1423-1429)
IEEE DOI
1309
color constancy, illumination estimation, sparse coding
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Ratnasingam, S.[Sivalogeswaran],
Robles-Kelly, A.[Antonio],
A Biologically Motivated Double-Opponency Approach to Illumination
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ACCV12(III:296-309).
Springer DOI
1304
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Eibenberger, E.[Eva],
Angelopoulou, E.[Elli],
The importance of the normalizing channel in log-chromaticity space,
ICIP12(825-828).
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1302
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Bleier, M.[Michael],
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Beigpour, S.[Shida],
Eibenberger, E.[Eva],
Angelopoulou, E.[Elli],
Troger, T.[Tobias],
Kaup, A.[Andre],
Color constancy and non-uniform illumination:
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Color11(774-781).
IEEE DOI
1201
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Mathew, A.[Alex],
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Asari, V.K.[Vijayan K.],
A manifold based methodology for color constancy,
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IEEE DOI
1010
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Akhavan, T.[Tara],
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A new combining learning method for color constancy,
IPTA10(421-425).
IEEE DOI
1007
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Medioni, G.[Gerard],
Color Constancy Using Standard Deviation of Color Channels,
ICPR10(1722-1726).
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1008
BibRef
Earlier:
Color constancy using denoising methods and cepstral analysis,
ICIP09(1637-1640).
IEEE DOI
0911
See also Perceptually Motivated Automatic Color Contrast Enhancement Based on Color Constancy Estimation.
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Applying Visual Object Categorization and Memory Colors for Automatic
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CIAP09(873-882).
Springer DOI
0909
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Color Constancy Via Convex Kernel Optimization,
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0711
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CSIFT: A SIFT Descriptor with Color Invariant Characteristics,
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ICIAR05(720-728).
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ICIP05(III: 960-963).
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Sridharan, M.,
Stone, P.,
Autonomous Planned Color Learning on a Mobile Robot Without Labeled
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0612
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Earlier:
Towards on-board color constancy on mobile robots,
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IEEE DOI
0408
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Horiuchi, T.,
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0205
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Earlier:
Recognizing Color Patterns Irrespective of Viewpoint and Illumination,
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Berwick, D.[Daniel],
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Bayesian Color Constancy for Outdoor Object Recognition,
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0110
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Color Eigenflows: Statistical Modeling of Joint Color Changes,
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Model color changes due to lighting.
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Color Constancy Using KL-Divergence,
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Angelopoulou, E.,
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0003
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Angelopoulou, E.,
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Spectral Gradient: A Material Descriptor Invariant to Geometry and
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9900
Moriwaki, K.,
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Illumination Invariant Detection of Multicolored Object Using Sampled
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9900
Tsukada, M.[Masato],
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9900
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ICIP99(III:570-574).
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9900
Forsyth, D.A.,
Sampling, Resampling and Colour Constancy,
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9900
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Retinex .