Color Constancy

Brainard, D., Wandell, B.A.,
Analysis of the Retinex Theory of Color Vision,
JOSA-A(3), 1986, pp. 1651-1661. BibRef 8600

Novak, C.L., and Shafer, S.A.,
Supervised Color Constancy Using a Color Chart,
CMU-CS-TR-90-140, CMU CS Dept., June 1990. Matching colors under different illuminations. BibRef 9006

Wandell, B.A.,
The Synthesis and Analysis of Color Images,
PAMI(9), No. 1, January 1987, pp. 2-13. BibRef 8701

Wandell, B.A.[Brian A.],
Color Appearance and the Digital Imaging Pipeline,
ICPR00(Vol I: 183-190). 0009Plenery talk. Overview. BibRef
 

Marimont and Wandell (1992)
Linear models of surface and illuminant spectra.
J. Optical Soc. Amer. 11 1905-1913.

Maloney, L.T., and Wandell, B.A.,
Color Constancy: A Method for Recovering Surface Spectral Reflectance,
JOSA-A(3), 1986, pp. 29-33. Reprinted in BibRef 8600 RCV87(293-297). Estimate reflectance without a known ambient light source. Also given as: A
Computational Model for Color Constancy. ?? BibRef

Maloney, L.T.,
Evaluation of Linear Models of Surface Spectral Reflectance with Small Numbers of Parameters,
JOSA-A(3), No. 10, October 1986, pp. 1673-1683. BibRef 8610

Maloney, L.T.,
Computational Approaches to Color Vision,
Ph. D.1984, BibRef 8400 Stanford BibRef

d'Zmura, M., and Iverson, G.,
Color Constancy. I. Basic Theory of Two Stage Linear Recovery of Spectral Descriptions for Lights and Surfaces,
JOSA-A(10), 1993, pp. 2148-2165. BibRef 9300

d'Zmura, M., and Iverson, G.,
Color Constancy. II. Results for Two-Stage Linear Recovery of Spectral Descriptions for Lights and Surfaces,
JOSA-A(10), 1993, pp. 2166. BibRef 9300

d'Zmura, M., and Iverson, G.,
Color Constancy. III. General Linear Recovery of Spectral Descriptions for Lights and Surfaces,
JOSA-A(11), 1994, pp. 2389-2400. BibRef 9400

Sato, Y., and Ikeuchi, K.,
Temporal-Color Space Analysis of Reflection,
JOSA-A(11), No. 11, November 1994, pp. 2990-3002. BibRef 9411 Earlier: CVPR93(570-576). BibRef And: CMU-CS-TR-92-207, November 1992, CMU
CS Dept. WWW Page. Temporal-color space (4-D images). BibRef
[Abstract][Pdf][ps.gz]
 

Forsyth, D.A.,
A Novel Approach to Color Constancy,
IJCV(5), No. 1, August 1990, pp. 5-36. BibRef 9008 And: British spelling: ICCV88(9-18). CRULE. Described elsewhere as one of the most successful. A
theory that reproduces Land's two color experiments. (Or Algorithm in the title rather than Approach). BibRef
[Abstract][Pdf]

Kuriki, I., Uchikawa, K.,
Limitations of Surface-Color and Apparent-Color Constancy,
JOSA-A(13), No. 8, August 1996, pp. 1622-1636. 9608 BibRef

Freeman, W.T.[William T.], Brainard, D.H.[David H.],
Bayesian Color Constancy,
JOSA-A(14), No. 7, July 1997, pp. 1393-1411. 9708 BibRef
[Abstract]

Freeman, W.T.[William T.], Brainard, D.H.[David H.],
Bayesian Decision Theory, the Maximum Local Mass Estimate,
ICCV95(210-217). BibRef 9500
[Abstract][Pdf]
 

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 BibRef

Brainard, D.H.,
Color Constancy in the Nearly Natural Image: II: Achromatic Loci,
JOSA-A(15), No. 2, February 1998, pp. 307-325. 9802 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. BibRef 9907

Sapiro, G.[Guillermo],
Color and Illuminant Voting,
PAMI(21), No. 11, November 1999, pp. 1210-1215. 9912Color constancy and illuminant estimation. Based on Hough ideas. BibRef
[Abstract][Pdf]

Nascimento, S.M.C.[Sérgio M. C.], Foster, D.H.[David H.],
Relational color constancy in achromatic and isoluminant images,
JOSA-A(17), No. 2, February 2000, pp. 225-231. 0002 BibRef

Marini, D., Rizzi, A.,
A computational approach to color adaptation effects,
IVC(18), No. 13, October 2000, pp. 1005-1014. 0008 BibRef
 

Korhonen, M.[Mika], Heikkilä, J.[Janne], Silvén, O.[Olli],
Intensity Independent Color Models and Visual Tracking,
ICPR00(Vol III: 604-608). 0009 BibRef

Clark, J.J., O'Regan, J.K.,
A Temporal-difference Model of Perceptual Stability in Color Vision,
ICPR00(Vol II: 503-506). 0009 BibRef

Gevers, T., Stokman, H., van de Weijer, J.,
Colour Constancy from Hyper-Spectral Data,
BMVA00(xx-yy). 0009 BibRef

Sánchez, J.M.[Juan M.], Binefa, X.[Xavier],
Improving Visual Recognition Using Color Normalization in Digital Video Applications,
ICME00(TP11). 0007 BibRef

Wu, Y.[Ying], Huang, T.,
Color Tracking by Transductive Learning,
CVPR00(I:133-138). 0005 BibRef
[Abstract][Pdf]

Angelopoulou, E., Lee, S., Bajcsy, R.,
Spectral Gradient: A Material Descriptor Invariant to Geometry and Incident Illumination,
ICCV99(861-867). BibRef 9900
[Abstract][Pdf]

Moriwaki, K., Nakatani, K.,
Illumination Invariant Detection of Multicolored Object Using Sampled Spectrum Image,
SCIA99(Industrial Applications). BibRef 9900
**Scandinavian Conference on Image Analysis

Geusebroek, J.M., vanden Boomgaard, R.[Rein], Smeulders, A.W.M., Dev, A.,
Color and Scale: The Spatial Structure of Color Images,
ECCV00(xx-yy). 0003 BibRef

Geusebroek, J.M.[Jan-Mark], Smeulders, A.W.M.[Arnold W.M.],
Measurement of Color Invariants,
CVPR00(I:50-57). 0005 BibRef
[Abstract][Pdf]

Geusebroek, J.M.[Jan-Mark], Dev, A.[Anuj], vanden Boomgaard, R.[Rein], Smeulders, A.W.M.[Arnold W.M.], Cornelissen, F.[Frans], Geerts, H.[Hugo],
Color Invariant Determination of Material Changes in Reflection and Transmission of Light,
ScaleSpace99(459-464). BibRef 9900
[Abstract][Pdf]

Tsukada, M.[Masato], Tajima, J.[Johji],
Color Matching Algorithm Based on Computational 'Color Constancy' Theory,
ICIP99(27AS2). BibRef 9900
[Abstract][Pdf]

Abrardo, A.[Andrea], Alparone, L.[Luciano], Cappellini, V.[Vito], Prosperi, A.[Andrea],
Color Constancy from Multispectral Images,
ICIP99(27PO2). BibRef 9900
[Abstract][Pdf]

Gevers, T., Stokman, H.,
Colour Invariance from Multispectral Images,
BMVC99(Low and High-Level Feature Detection). BibRef 9900

Forsyth, D.A.,
Sampling, Resampling and Colour Constancy,
CVPR99(I:300-305). BibRef 9900
[Abstract][Pdf]

Mindru, F.[Florica], Moons, T.[Theo], van Gool, L.J.[Luc J.],
Recognizing Color Patterns Irrespective of Viewpoint and Illumination,
CVPR99(I:368-373). BibRef 9900
[Abstract][Pdf]

Fisher, R.B., and Gionis, A.P.,
Surface Reflectance Recovery under Point Light Illumination,
BMVC96(Poster Session 1). 9608 BibRef And: DAINo. 820, July 1996. University of Edinburgh. Color recovery given 3-D geometry. BibRef
**British Machine Vision Conference
[ps.gz]

Buluswar, S. and Draper, B.,
"Non-Parametric Classifcation of Pixels Under Varying Outdoor Illumination",
SPIE, 1994, Boston, MA
[ps.gz]

Buluswar, S.D.[Shashi D.], Draper, B.A.[Bruce A.], Riseman, E.M., and Hanson, A.R.,
Trichromatic Model of Daylight Variation,
COINSTR 95-12, February 1995. BibRef 9502
**University of Massachusetts
 

Buluswar, S.D.[Shashi D.],
Learning Object Color under Varying Outdoor Illumination,
COINSTR 95-14, February 1995. BibRef 9502

Buluswar, S.D.[Shashi D.], and Draper, B.A.[Bruce A.],
Color Recognition in Outdoor Images,
ICCV98(171-177). BibRef 9800
[Abstract][Pdf]

Hwang, P.W., Chen, Y.S., Cheng, F.H., and Hsu, W.H.,
Color Recovery from Biased Illumination: Color Constancy,
CVPR93(631-632). BibRef 9300
[Abstract][Pdf]

Ohta, Y., Hayashi, Y.,
Recovery of Illuminant and Surface Colors from Images Based on the CIE Daylight,
ECCV94(B:235-246). BibRef 9400

Tsukada, M., and Ohta, Y.,
An Approach to Color Constancy Using Multiple Images,
ICCV90(385-389). BibRef 9000
[Abstract][Pdf]

Kim, S.K.[Sang-Kyun], Fleck, M.M.[Margaret M.], and Forsyth, D.A.[David A.],
Reliable Color Labelling,
Univ. IowaCS TR 94-11, 1994. BibRef 9400

MacAdam, D.L.,
Visual Sensitivities to Small Color Differences in Daylight,
JOSA(32), 1942, pp. 247. BibRef 4200

**Journal of the Optical Society of America
 

Faugeras, O.D.,
Digital Color Image Processing within the Framework of a Human Visual Model,
ASSP(27), 1979, pp. 380-393. BibRef 7900
**IEEE Trans. Acoustics, Speech, and Signal Processing
 

Klinker, G.J.[Gudrun J.], Shafer, S.A., and Kanade, T.,
A Physical Approach to Color Image Understanding,
IJCV(4), No. 1. January 1990, pp. 7-38. HTML Reference. BibRef 9001 And: A1 only: A.K. PetersWellesley, MA, 1993, ISBN 1-56881-013-X. BibRef
And: CMU-CS-TR-88-161, CMU CS Dept., BibRef Ph. D.Thesis (CS), May 1988. HTML Reference. A complete analysis of color processing for specific
kinds of objects. See also Image Segmentation and Reflection Analysis Through Color. BibRef
 

Murase, H., and Nayar, S.K.,
Visual Learning And Recognition Of 3-D Objects From Appearance,
IJCV(14), No. 1, January 1995, pp. 5-24. BibRef 9501 Earlier:
Visual Learning Object Models from Appearance,
DARPA93(547-555). BibRef And:
Learning and Recognition of 3D Objects from Appearance,
WQV93(39-50). BibRef And:
Learning Object Models from Appearance,
AAAI-93(836-843) Model Acquisition. A new representation that is parameterized by pose and illumination. BibRef
 
 

Weiss, I.[Isaac],
Physics-like Invariants for Vision,
PBMCV95(SESSION 3). BibRef 9500 And: ARPA94(II:1413-1421). BibRef And: UMDTR3389, 1994. Postscript Version. BibRef
*Physics Based Modeling Workshop in Computer Vision
 

Novak, C.L., and Shafer, S.A.,
Method For Estimating Scene Parameters From Color Histograms,
JOSA-A(11), No. 11, November 1994, pp. 3020-3036. BibRef 9411 And: CMU-CS-93-177, July 1993. BibRef Earlier:
Estimating Scene Properties from Color Histograms,
DARPA93(1013-1024). BibRef Earlier: CMU-CS-TR-92-212, CMU CS Dept., November 1992. Postscript Version. Analysis of histograms for surface
roughness, angle between light source and camera, and illumination intensity. BibRef

Novak, C.L.[Carol L.],
Estimating Scene Properties by Analyzing Color Histograms with Physics-Based Models,
Ph. D.Thesis (CS), December 1992. BibRef 9212 CMU-CS-TR-92-222, CMU CS Dept. BibRef

Novak, C.L., and Shafer, S.A.,
Anatomy of a Color Histogram,
CVPR92(599-605). BibRef 9200
[Abstract][Pdf]
And:
Anatomy of a Histogram,
CMU-CS-91-203, November 1991. BibRef

Shafer, S.A.,
Optical Phenomena in Computer Vision,
CSD, Univ. of RochesterTR 135, March 1984. Invited talk at CSCSI, London Ont, May 1984. Discussion of various topics such as shading, gloss, color,
shadows and how to use them. BibRef 8403

Shafer, S.A.,
Using Color to Separate Reflection Components,
Color Res. App.(10), No. 4, 1985, pp. 210-218. BibRef 8500 And: Univ. of RochesterCSD, TR 136, April, 1984. Study of what are the different effects of
highlights and the color so that these can be used in further analysis. BibRef
 

Syeda-Mahmood, T.F.,
Detecting Perceptually Salient Texture Regions in Images,
CVIU(76), No. 1, October 1999, pp. 93-108. BibRef 9910

Syeda-Mahmood, T.F., Cheng, Y.,
Indexing Colored Surfaces in Images,
ICPR96(C6M.2). 9608(Xerox Webster Research Center, USA) BibRef
[Abstract][Pdf]
 

Shaw, G.B.,
Some Remarks on the Use of Color in Machine Vision,
COINSTR 83-31, UMass., September 1983. Some random discussion on why color has not been used very much, and where it is useful. BibRef 8309

Gershon, R.,
Aspects of Perception and Computation in Color Vision,
CVGIP(32), No. 2, November 1985, pp. 244-277. BibRef 8511 And: Correction: CVGIP(33), No. 2, February 1986, pp. 259. BibRef Earlier:
Survey on Color: Aspects of Perception and Computation,
RBCV-TR-84-4, July, 1984, Toronto. Survey. Color Perception, Survey. BibRef
**University of Toronto

Gershon, R.,
The Use of Color in Computational Vision,
RBCV-TR-87-15, June 1987, Toronto, BibRef 8706 Ph. D.Thesis (CS). A long report on the full range of what color means. BibRef
 
 

Gershon, R., Jepson, A.D., and Tsotsos, J.K.,
Ambient Illumination and the Determination of Material Changes,
JOSA-A(3), No. 10, 1986, pp. 1700-1707. BibRef 8600
 
 

Gershon, R., Jepson, A.D., and Tsotsos, J.K.,
Highlight Identification Using Chromatic Information,
ICCV87(161-170). BibRef 8700 And:
The Use of Color in Highlight Identification,
IJCAI87(752-754). See also Image Segmentation and Reflection Analysis Through Color. BibRef
 
 

Gershon, R., Jepson, A.D., and Tsotsos, J.K.,
From (R, G, B) to Surface Reflectance: Computing Color Constant Descriptors in Images,
IJCAI87(755-758). BibRef 8700
 
 

Gershon, R., Jepson, A.D., and Tsotsos, J.K.,
The Effects of Ambient Illumination on the Structure of Shadows in Chromatic Images,
RBCV-TR-86-9, January, 1986, Toronto. Determination of shadow boundaries by the analysis of the color images. This means that it distinguishes between
shadow and object (material change) boundaries. BibRef 8601

Scharcanski, J., Hovis, J.K., Shen, H.C.,
Representing the Color Aspect of Texture Images,
PRL(15), No. 2, February 1994, pp. 191-197. BibRef 9402
**Pattern Recognition Letters

Rubin, J.M.[John M.], Richards, W.A.,
Color Vision: Representing Material Categories,
MIT AIMemo764, May 1984. Postscript Version. BibRef 8405
[.ps]

Rubin, J.M., Richards, W.A.,
Spectral Characterization of Materials,
IU87(20-44). BibRef 8700

Rubin, J.M., Richards, W.A.,
Color Vision and Image Intensities: When Are Changes Material?,
MIT AI Memo631, May 1981. BibRef 8105

Leckner, J., and Dorf, M.C.,
Why Some things Are Darker When Wet?,
AppOpt(27), No. 7, April 1988, pp. 1278-1280. BibRef 8804

Montag, E.D.,
Influence of Boundary Information on the Perception of Color,
JOSA-A(14), No. 5, May 1997, pp. 997-1006. 9705 BibRef

Healey, G., and Luong, Q.T.,
Color in Computer Vision: Recent Progress,
HPRCV97(xx). Abstract: HTML Reference. BibRef 9700
**Handbook of Pattern Recognition and Computer Vision

Jackowski, M., Goshtasby, A., Bines, S., Roseman, D., Yu, C.,
Correcting the Geometry and Color of Digital Images,
PAMI(19), No. 10, October 1997, pp. 1152-1158. 9710 BibRef
[Abstract][Pdf]

Parraga, C.A., Brelstaff, G., Troscianko, T., Moorehead, I.R.,
Color and Luminance Information in Natural Scenes,
JOSA-A(15), No. 3, March 1998, pp. 563-569. 9803 BibRef And: Correction: JOSA-A(15), No. 6, June 1998, pp. 1708. BibRef

Zhu, W.[Wei], Parker, K.[Kevin], Kriss, M.A.[Michael A.],
Color Filter Arrays Based on Mutually Exclusive Blue Noise Patterns,
JVCIR(10), No. 3, September 1999, pp. 245-267. 0008 BibRef
**Journal of Visual Communication and Image Representation
**Journal of Visualization and Computer Animation

Mall, H.B.[Howard B.], da Vitoria Lobo, N.[Niels],
Determining Wet Surfaces from Dry,
ICCV95(963-968). Using the Leckner-Dorf model. BibRef 9500
[Abstract][Pdf]

Healey, G., Binford, T.O.,
The Role and Use of Color in a General Vision System,
DARPA87(599-613). BibRef 8700 And:
Color Algorithms for a General Vision System,
IJCAI87(759-762). BibRef

Asada, N., Matsuyama, T.,
Color Image Analysis By Varying Camera Aperture,
ICPR92(I:466-469). BibRef 9200
[Abstract][Pdf]

Klinker, G.J., Shafer, S.A., and Kanade, T.,
Image Segmentation and Reflection Analysis Through Color,
IJCV(2), No. 1, June 1988, pp. 7-32. HTML Reference. BibRef 8806 And: DARPA88(838-853). BibRef Earlier:
Using a Color Reflection Model to Separate Highlights from Object Color,
ICCV87(145-150). BibRef And: DARPA87(614-619) with color enclosures. BibRef And:
Color Image Analysis with an Intrinsic Reflection Model,
ICCV88(292-296). Segmentation, Color. Do the color calibration using the highlights, then map the colors to the real color and easily segment. Continuing
Shafer's work in color and calibrated imaging. See also Physical Approach to Color Image Understanding, A. BibRef
[Abstract][Pdf]
Ikeuchi, K.,
Surface Reflection Mechanism,
HPRIP-CV94(131-160). See also Surface Reflection: Physical and Geometrical Perspectives. BibRef 9400

Nayar, S.K., Bolle, R.M.,
Reflectance Based Object Recognition,
IJCV(17), No. 3, March 1996, pp. 219-240. BibRef 9603 Earlier:
Object Recognition Based on Reflectance and Geometry,
SPIE(2031), 1993, pp. 328-342. BibRef

Nayar, S.K., and Bolle, R.M.,
Computing Reflectance Ratios from an Image,
PR(26), 1993, pp. 1529-1542. BibRef 9300 And:
Reflectance Ratio: A Photometric Invariant for Object Recognition,
ICCV93(280-285). BibRef
[Abstract][Pdf]
And:
Reflectance Based Recognition,
DARPA93(867-872). Recognnition using region values and reflectance invariants. BibRef

Nayar, S.K., and Gong, Y.,
Colored Interreflections and Shape Recovery,
DARPA92(333-343). Reflections cause different colors. Albedo comes out >1.0 due to reflections. BibRef 9200

Tominaga, S.,
Surface Identification Using the Dichromatic Reflection Model,
PAMI(13), No. 7, July 1991, pp. 658-670. Analysis of reflections from specular and diffuse reflections. BibRef 9107
[Abstract][Pdf]

Lee, H.C., Breneman, E.J., and Schulte, C.P.,
Modeling Light Reflection for Computer Color Vision,
PAMI(12), No. 4, April 1990, pp. 402-409. How does it compare to Shafer's work? BibRef 9004
[Abstract][Pdf]

Koenderink, J.J., van Doorn, A.J.,
Bidirectional Reflection Distribution Function Expressed in Terms of Surface Scattering Modes,
ECCV96(II:28-39). Scattering characteristics of textured materials. BibRef 9600

Jang, Y.,
Identification of Interreflection in Color Images Using a Physics-Based Reflection Model,
CVPR91(632-637). BibRef 9100
[Abstract][Pdf]

Nayar, S.K., Ikeuchi, K., and Kanade, T.,
Surface Reflection: Physical and Geometrical Perspectives,
PAMI(13), No. 7, July 1991, pp. 611-634. BibRef 9107 Earlier: DARPA90(185-212). An attempt to unify geometric and physical optical properties to
explain surfaces and their appearence. Fairly complete. BibRef
[Abstract][Pdf]

Ikeuchi, K., and Sato, K.,
Determining Reflectance Properties of an Object Using Range and Brightness Images,
PAMI(13), No. 11, November 1991, pp. 1139-1153.
[Abstract][Pdf]
BibRef 9111 Earlier:
Determining Reflectance Parameters Using Range and Brightness Images,
ICCV90(12-20). BibRef And: CMU-CS-90-106, February 1990. Shading from Shape. Almost the inverse of the standard problem. BibRef
[Abstract][Pdf]

Sato, Y., Ikeuchi, K.,
Reflectance Analysis for 3D Computer-Graphics Model Generation,
GMIP(58), No. 5, September 1996, pp. 437-451. 9611 BibRef Earlier:
Reflectance Analysis for 3D Computer Graphics,
CMU-CS-95-146, June 1995. WWW Page. BibRef

Sato, Y.[Yoichi], Sato, I.[Imari], Ikeuchi, K.[Katsushi],
3D Shape and Reflectance Morphing,
CMU-CS-96-168, September 1996. BibRef 9609

Sato, I., Sato, Y., Ikeuchi, K.,
Illumination Distribution from Brightness in Shadows: Adaptive Estimation of Illumination Distribution with Unknown Reflectance Properties in
Shadow Regions,
ICCV99(875-883). BibRef 9900
[Abstract][Pdf]

Sato, I.[Imari], Sato, Y.[Yoichi], Ikeuchi, K.[Katsushi],
Illumination Distribution from Shadows,
CVPR99(I:306-312). Illumination from radiance distribution in shadow cast by known object onto a know surface. BibRef 9900
[Abstract][Pdf]

Sato, Y., Ikeuchi, K.,
Reflectance Analysis Under Solar Illumination,
PBMCV95(SESSION 6) BibRef 9500 And: CMU-CS-94-221, December 1994. WWW Page. BibRef
**Physics Based Modeling Workshop in Computer Vision
[Pdf]

Qiu, J., Gao, W., Lesht, B.M.,
Inverting Optical Reflectance to Estimate Surface /Properties of Vegetation Canopies,
JRS(19), No. 4, March 10 1998, pp. 641-656. 9803 BibRef
**International Journal of Remote Sensing
 

Dobson, S.J., Lu, K.C.,
Accurate Calculation of the Irradiance of Optical Images,
OptEng(37), No. 10, October 1998, pp. 2768-2771. 9810 BibRef
**Optical Engineering
 

Wolff, L.B.[Lawrence B.], Nayar, S.K.[Shree K.], Oren, M.[Michael],
Improved Diffuse Reflection Models for Computer Vision,
IJCV(30), No. 1, October 1998, pp. 55-71. For shape from shading/reflectance. BibRef 9810

Koenderink, J.J.[Jan J.], van Doorn, A.J.[Andrea J.], Dana, K.J.[Kristin J.], Nayar, S.K.[Shree K.],
Bidirectional Reflection Distribution Function of Thoroughly Pitted Surfaces,
IJCV(31), No. 2/3, April 1999, pp. 129-144. BibRef 9904

K. J. Dana, B. van Ginneken, S. K. Nayar, J. J. Koenderink
Reflectance and texture of real world surfaces
IEEE Transactions on Graphics  "1-34", January, 1999
[ps.gz]

Aparicio, J.I.[Javier Iglesia], García-Bermejo, J.G.[Jaime Gomez],
An Approach for Determining Phong Reflectance Parameters from Real Objects,
ICPR00(Vol III: 572-575). 0009 BibRef

Tanaka, N.[Norihiro], Tominaga, S.[Shoji], Kawai, T.[Toshiyuki],
Estimation of the Torrance-sparrow Reflection Model from a Single Multi-band Image,
ICPR00(Vol III: 600-603). 0009 BibRef

Chen, H.F.[Hansen F.], Belhumeur, P.N.[Peter N.], Jacobs, D.W.[David W.],
In Search of Illumination Invariants,
CVPR00(I:254-261). 0005 Award, Honorable Mention. Applied to Faces BibRef
[Abstract][Pdf]
 

Farid, H.[Hany], Adelson, E.H.[Edward H.],
Separating Reflections and Lighting Using Independent Components Analysis,
CVPR99(I:262-267). BibRef 9900
[Abstract][Pdf]

Sato, I., Sato, Y., Ikeuchi, K.,
Acquiring a Radiance Distribution to Superimpose Virtual Objects onto a Real Scene,
MVA98(xx-yy). BibRef 9800
[Pdf]

Rosenfeld, A., Wang, C.Y., Wu, A.Y.,
Multispectral Texture,
SMC(12), 1982, pp. 79-84. BibRef 8200

Kondepudy, R., and Healey, G.[Glenn],
Use of Invariants for Recognition of Three-Dimensional Color Textures,
JOSA-A(11), No. 11, November 1994, pp. 3037-3049. Abstract: HTML Reference. BibRef 9411 Earlier:
Modeling and Identifying 3-D Color Textures,
CVPR93(577-582). Texture, color. BibRef
[Abstract][Pdf]

Messer, K., Kittler, J.V.,
A Comparison of Color Texture Attributes Selected by Statistical Feature Selection and Neural Network Methods,
PRL(18), No. 11-13, November 1997, pp. 1241-1246. 9806 BibRef
[ps.Z]

Healey, G.[Glenn], Wang, L.[Lizhi],
Illumination-Invariant Recognition of Texture in Color Images,
JOSA-A(12), No. 9, September 1995, pp. 1877-1883. BibRef 9509 Earlier: ICCV95(128-133). Abstract: HTML Reference. BibRef
[Abstract][Pdf]

Wang, L.[Lizhi], Healey, G.[Glenn],
Illumination and Geometry Invariant Recognition of Texture in Color Images,
CVPR96(419-424). BibRef 9600
[Abstract][Pdf]

Healey, G., Slater, D.A.,
Computing Illumination-Invariant Descriptors of Spatially Filtered Color Image Regions,
IP(6), No. 7, July 1997, pp. 1002-1013. 9707 BibRef
[Abstract][Pdf]

Slater, D.A., Healey, G.,
Object Recognition Using Invariant Profiles,
CVPR97(827-832). 9704See earlier papers in image-proc. Abstract: HTML Reference. BibRef
[Abstract][Pdf]

Slater, D.A., Healey, G.,
The Illumination-Invariant Matching of Deterministic Local Structure in Color Images,
PAMI(19), No. 10, October 1997, pp. 1146-1151. 9710 Color Constancy. Color feature matrix representation. BibRef
[Abstract][Pdf]

Paschos, G.[George],
Fast color texture recognition using chromaticity moments,
PRL(21), No. 9, August 2000, pp. 837-841. 0008 BibRef
 

Daul, C.[Christian], Rösch, R.[Ronald], Claus, B.[Bernhard],
Building a color classification system for textured and hue homogeneous surfaces: system calibration and algorithm,
MVA(12), No. 3 2000, pp. 137-148. 0010 BibRef
 

Vertan, C.[Constantin], Boujemaa, N.[Nozha],
Color Texture Classification by Normalized Color Space Representation,
ICPR00(Vol III: 584-587). 0009 BibRef
[Pdf]

Vandenbroucke, N., Macaire, L.,
Unsupervised Color Texture Feature Extraction and Selection for Soccer Image Segmentation,
ICIP00(TP09.05). 0008 BibRef

Manduchi, R.,
Bayesian Fusion of Color and Texture Segmentations,
ICCV99(956-962). BibRef 9900
[Abstract][Pdf]

Chang, C.C., Wang, L.L.,
Color Texture Segmentation for Clothing in a Computer-Aided Fashion Design System,
IVC(14), No. 9, October 1996, pp. 685-702. Color Quantization. Color Cooccurrence Matrix. Application, Textiles. BibRef 9610
**Image and Vision Computing

COLOR CONSTANCY

UC Irvine

Healey, G., Slater, D.A.,
Global Color Constancy: Recognition of Objects by Use of Illumination-Invariant Properties of Color Distributions,
JOSA-A(11), No. 11, November 1994, pp. 3003-3010. See also Color Discrimination by Computer. Abstract: HTML Reference. BibRef 9411

Slater, D.A.[David A.], Healey, G.[Glenn],
The Illumination-Invariant Recognition of 3D Objects Using Local Color Invariants,
PAMI(18), No. 2, February 1996, pp. 206-210. Abstract: HTML Reference. BibRef 9602 And:
[Abstract][Pdf]
Using a Spectral Reflectance Model for the Illumination-Invariant Recognition of Local Image Structure,
CVPR96(770-775). Abstract: HTML Reference. BibRef
[Abstract][Pdf]

Healey, G.,
Estimating Spectral Reflectance Using Highlights,
IVC(9), No. 5, October 1991, pp. 333-337. Abstract: HTML Reference. BibRef 9110
 

Healey, G., Slater, D.A.,
Using Illumination Invariant Color Histogram Descriptors for Recognition,
CVPR94(355-360). BibRef 9400
[Abstract][Pdf]

Healey, G.[Glenn], Slater, D.A.[David A.],
Image Understanding Research at UC Irvine: Automated Invariant Recognition in Huperspectral Imagery,
DARPA98(631-640). BibRef 9800

Healey, G.[Glenn],
Image Understanding Research at UC Irvine: Automatic Recognition in Multispectral Imagery,
DARPA97(1063-1068). Abstract: HTML Reference. BibRef 9700

Healey, G.[Glenn], Slater, D.A.[David A.],
Invariant Recognition in Hyperspectral Images,
CVPR99(I:438-443). BibRef 9900
[Abstract][Pdf]

Slater, D.A.[David A.], Healey, G.[Glenn],
Material Classification for 3D Objects in Aerial Hyperspectral Images,
CVPR99(II:268-273). Essentially find regions of similar material. BibRef 9900
[Abstract][Pdf]

Slater, D.A.[David A.], Healey, G.[Glenn],
Reflectance Estimation and Material Classification for 3D Objects in outdoor Hyperspectral Images,
DARPA98(815-820). BibRef 9800

Slater, D.A.[David Alan], Healey, G.[Glenn],
What is the Spectral Dimensionality of Illumination Functions in Outdoor Scenes?,
CVPR98(105-110). BibRef 9800
[Abstract][Pdf]

Slater, D.A.[David A.], Healey, G.[Glenn],
Combining Color and Geometric Information for the Illumination Invariant Recognition of 3D Objects,
ICCV95(563-568). BibRef 9500 And: UC IrvineECE-94-12-01, 1994. BibRef
[Abstract][Pdf]

Healey, G.[Glenn], Slater, D.A.[David A.],
Using Spectral/Spatial Information for Automatic Recognition,
DARPA97(1281-1288). BibRef 9700

Simon Frasier University
 

Ho, J., Funt, B.V., and Drew, M.S.,
Separating a Color Signal into Illumination and Surface Reflectance Components: Theory and Applications,
PAMI(12), No. 10, October 1990, pp. 966-977. Determine color constancy information given more information from the optical system. BibRef 9010
[Abstract][Pdf]

Funt, B.V., Ho, J., and Drew, M.S.,
Method and Apparatus for Determining Ambient Light and Surface Reflectance,
US PatentNo. 4,992,963, 12 February 1991. BibRef 9102

Drew, M.S., and Funt, B.V.,
Natural Metamers,
CVGIP(56), No. 2, September 1992, pp. 139-151. How to generate the color spectrum from only the RGB values. BibRef 9209

Funt, B.V., Drew, M.S., and Ho, J.,
Color Constancy from Mutual Reflection,
IJCV(6), No. 1, April 1991, pp. 5-24. BibRef 9104

Barnard, K., Finlayson, G.D., Funt, B.V.,
Color Constancy for Scenes with Varying Illumination,
CVIU(65), No. 2, February 1997, pp. 311-321. 9704 BibRef
[Abstract][Pdf][ps.gz]
Earlier: using Colour in the title: ECCV96(II:3-16). BibRef Earlier: A2, A3, A1:
Color Constancy Under Varying Illumination,
ICCV95(720-725). BibRef
[Abstract][Pdf]

Barnard, K.,
Computational Color Constancy: Taking Theory into Practice,
MastersThesis, 1995, BibRef 9500 Simon Fraser Univ. BibRef

Funt, B.V., Barnard, K., Martin, L.,
Is machine colour constancy good enough?,
ECCV98(xx-yy). BibRef 9800
[Abstract][Pdf][ps.gz]

Finlayson, G.D.,
Color in Perspective,
PAMI(18), No. 10, October 1996, pp. 1034-1038. 9611 BibRef And: Simon Fraser Univ.CSS/LCCR TR 95, 1995. BibRef
[Abstract][Pdf]

Funt, B.V., and Drew, M.S.,
Color Space Analysis of Mutual Illumination,
PAMI(15), No. 12, December 1993, pp. 1319-1326. BibRef 9312
[Abstract][Pdf]

Drew, M.S., and Funt, B.V.,
Calculating Surface Reflectance Using a Single-Bounce Model of Mutual Reflection,
ICCV90(393-399). BibRef 9000

Funt, B.V.[Brian V.], and Ho, J.,
Color from Black and White,
IJCV(3), No. 2, June 1989, pp. 109-118. BibRef 8906
And: ICCV88(2-8). Award, Marr.
Color constancy by using the chromatic aberration. Nice theory, but is it real. BibRef
[Abstract][Pdf]

Finlayson, G.D., Drew, M.S., and Funt, B.V.,
Color Constancy: Generalized Diagonal Transforms Suffice,
JOSA-A(11), No. 11, November 1994, pp. 3011-3019. BibRef 9411 Earlier:
Diagonal Transforms Suffice for Color Constancy,
ICCV93(164-171). BibRef
[Abstract][Pdf]

Finlayson, G.D., Drew, M.S., and Funt, B.V.,
Spectral Sharpening: Sensor Transformations for Improved Color Constancy,
JOSA-A(11), No. 5, May 1994, pp. 1553-1563. BibRef 9405
(Similiar [Abstract][Pdf][ps.gz])

Drew, M.S.[Mark S.], Wei, J.[Jie], and Li, Z.N.[Ze-Nian],
On Illumination Invariance in Color Object Recognition,
PR(31), No. 8, August 1998, pp. 1077-1087. 9807 BibRef And: Simon Fraser Univ.SFU-CMPT TR 97-07, 1997. Postscript Version. BibRef

Drew, M.S.[Mark S.], Wei, J.[Jie], and Li, Z.N.[Ze-Nian],
Illumination-Invariant Color Object Recognition via Compressed Chromaticity Histograms of Color-Channel-Normalized Images,
ICCV98(533-540). BibRef 9800 And:
[Abstract][Pdf]
Illumination-Invariant Color Object Recognition via Compressed Chromaticity Histograms of Normalized Images,
Simon Fraser Univ.SFU-CMPT TR 97-09, May 1997. Postscript Version. BibRef

Finlayson, G.D.[Graham D.], Hordley, S.[Steven],
Selection for gamut mapping colour constancy,
IVC(17), No. 8, June 1999, pp. 597-604. BibRef 9906
275-289.

Finlayson, G.[Graham], Hordley, S.[Steven],
A Theory of Selection for Gamut Mapping Color Constancy,
CVPR98(60-65). BibRef 9800
[Abstract][Pdf]

Barnard, K.
Improvements to gamut mapping colour constancy algorithms
ECCV'2000 Proceedings Sixth European Conference
on Computer Vision, Dublin, 2000. pp. 390-402.
[Abstract][Pdf][ps.gz]

Finlayson, G.D.[Graham D.], Hordley, S.[Steven],
Improving Gamut Mapping Color Constancy,
IP(9), No. 10, October 2000, pp. 1774-1783. 0010 BibRef

Finlayson, G.D.,
Computational Colour Constancy,
ICPR00(Vol I: 191-196). 0009 BibRef

Finlayson, G., Hordley, S., Marchant, J., Onyango, C.,
Colour Invariance at a Pixel,
BMVA00(xx-yy). 0009 BibRef
[Pdf]

Finlayson, G.D., Hordley, S., Hubel, P.,
Colour by Correlation: A Simple, Unifying Approach to Colour Constancy,
ICCV99(835-842). BibRef 9900
[Abstract][Pdf]

Finlayson, G.D., Schaefer, G.,
Constrained Dichromatic Colour Constancy,
ECCV00(xx-yy). 0003 BibRef

Barnard, K., Martin, L., Funt, B.,
Colour by Correlation in a Three-Dimensional Colour Space,
ECCV00(xx-yy). 0003 BibRef

Barnard, K.,
Improvements to Gamut Mapping Colour Constancy Algorithms,
ECCV00(xx-yy). 0003 BibRef

Finlayson, G.D.[Graham D.],
Color Constancy In Diagonal Chromaticity Space,
ICCV95(218-223). BibRef 9500
[Abstract][Pdf]

Funt, B.V., Brockington, M., and Tong, F.,
Conformal Transplantation of Lightness to Varying Resolution Sensors,
CVPR93(563-569). BibRef 9300
[Abstract][Pdf]

Funt, B.V., Drew, M.S., and Ho, J.,
Obtaining Colour Signal Spectra for Colour Constancy,
CSCSI90(261-266). BibRef 9000
**Canadian Society for Computational Studies of Intelligence

Funt, B.V., Drew, M.S.,
Color Constancy Computation in Near-Mondrian Scenes Using a Finite Dimensional Linear Model,
CVPR88(544-549). BibRef 8800
[Abstract][Pdf]

Funt, B.V.[Brian V.],
Colour Constancy in Digital Imagery,
ICIP99(27AS2). BibRef 9900

Funt, B.V., Cardei, V.C., and Barnard, K.
Learning color constancy
Proc. IS&T/SID Fourth Color Imaging Conf., pp 58-60, Scottsdale, Nov. 19-22, 1996



Color Indexing

Swain, M. and Ballard, D.,
"Color Indexing",
Int. J. Comp. Vision, 7:11-32,1991.

Funt, B.V., and Finlayson G.D.,
"Color Constant Color Indexing",
IEEE Trans. Patt. Anal. and Mach. intll, 17(5), May 1995.
[Abstract][Pdf]


Last Updated: 01/22/2001