4.11 Color and Its Use in Computer Vision

Chapter Contents (Back)
Color.

4.11.1 Color, General Issues

Chapter Contents (Back)
Human Vision. Color. See also Color Applied to Segmentation.

CVonline: Color and Reflectance,
CV-OnlineJuly 2001.
WWW Link. Survey, Indexing. BibRef 0107

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

Helson, H.,
Fundamental Problems in Color Vision, I,
JEP(23), 1938. BibRef 3800

Helson, H.,
Fundamental Problems in Color Vision, II,
JEP(26), 1938. BibRef 3800

Hunt, R.W.,
The Reproduction of Colour,
John Wileyand Sons, New York, November 2004. ISBN: 978-0-470-02425-6 6th Edition.
HTML Version. BibRef 0411
Earlier: First Edition: 1967. ISBN: 0-470-02425-9.
WWW Link. Buy this book: The Reproduction of Colour (The Wiley-IS&T Series in Imaging Science and Technology) 0905
BibRef

Hunt, R.W.G.,
Application of a model of color appearance to practical problems in imaging,
PIEEE(90), No. 1, January 2002, pp. 57-63.
IEEE DOI 0201
BibRef

Hunt, R.W.G., Pointer, M.R.,
Measuring Colour, 4th Edition,
WileyDecember 2011. ISBN: 978-1-1199-7537-3
HTML Version. Buy this book: Measuring Colour (The Wiley-IS&T Series in Imaging Science and Technology) 1202
BibRef

Richards, W., Parks, E.A.,
Model for Color Conversion,
JOSA(61), No. 7, July 1971, pp. 971-976. BibRef 7107

Jain, A.K.,
Color Distance and Geodesics in Color Three Space,
JOSA(62), No. 11, November 1972, pp. 1287-1290. BibRef 7211

Schaefer, L.F., Macovski, A.,
Encoding and Decoding of Color Information Using Two-Dimensional Spatial Filtering,
TC(21), No. 7, July 1972, pp. 642-647. BibRef 7207

Thornton, W.A.,
Three-Color Visual Response,
JOSA(62), No. 3, March 1972, pp. 457-460. BibRef 7203

Ito, T.,
Towards Color Picture Processing,
CGIP(2), 1973, pp. 347-354. BibRef 7300

Ito, T.,
Color Picture Processing by Computer,
IJCAI75(635-642). BibRef 7500

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

Okawa, Y.,
A Complexity Measure for Colored Pictures in Commercial Design,
CGIP(17), No. 4, December 1981, pp. 345-361.
WWW Link. BibRef 8112

Santisteban, A.[Antonio],
Perceptual Color Space of Digital Image Display Terminals,
IBMRD(27), No. 2, March 1983, pp. 127-132. BibRef 8303

Heckbert, P.,
Color Image Quantization for Frame Buffer Display,
Computer Graphics(16), No. 3, 1982, pp. 297-307. BibRef 8200

Hilbert, D.[David],
Color and Color Perception,
New York: Cambridge University Press1987. ISBN 0-0937073-15-6. BibRef 8700 Book BibRef

Wyszecki, G., and Stiles, W.S.,
Color Science: Concepts and Methods, Quantitative Data and Formulas,
John Wiley& Sons, New York, 1982. Second edition. BibRef 8200

Park, S.K., and Schowengerdt, R.A.,
Image Sampling, Reconstruction, and the Effect of Sample-Scene Phasing,
AppOpt(21), No. 17, 1982, pp. 3142-3151. Discusses how the histogram takes various forms. BibRef 8200

Savoy, R.L.,
Contingent Aftereffects and Isoluminance: Psychophysical Effects for Separation of Color, Orientation, and Motion,
CVGIP(37), No. 1, January 1987, pp. 3-19.
WWW Link. BibRef 8701

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.
Springer DOI
HTML Version. 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 Version. A complete analysis of color processing for specific kinds of objects. See also measurement of highlights in color images, The. BibRef

Weiss, I.[Isaac],
Physics-like Invariants for Vision,
PBMCV95(SESSION 3). BibRef 9500
And: ARPA94(II:1413-1421). BibRef
And: UMDTR3389, 1994.
WWW Link. BibRef

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-TR-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.
PS File. 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).
IEEE Abstract. BibRef 9200
And:
Anatomy of a Histogram,
CMU-CS-TR-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

Horn, B.K.P.,
Exact Reproduction of Colored Images,
CVGIP(26), No. 2, May 1984, pp. 135-167.
WWW Link. Survey, Color. All the historical references (Newton, and such) on color and human vision. See also Color Space Analysis of Mutual Illumination. BibRef 8405

Jackson, R.[Richard], MacDonald, L.[Lindsay], Freeman, K.[Ken],
Computer Generated Color: A Practical Guide to Presentation and Display,
John Wiley& Sons, New York, 1994, ISBN 0-471-93378-3. The full process of color and its display. Not really vision, but graphics, but important issues for analysis. BibRef 9400

Syeda-Mahmood, T.F.[Tanveer Fathima],
Data and Model-Driven Selection Using Color Regions,
IJCV(21), No. 1-2, January 1997, pp. 9-36.
DOI Link 9704
BibRef
Earlier: ECCV92(115-123).
Springer DOI BibRef
And: DARPA92(705-716). BibRef
And: MIT AI Memo-1270, February 1992. Salient Regions. Recognize Color Objects. Use color for grouping in a series of filtering operations of selection and recognition. See also Data Driven and Model Driven Selection Using Parallel Line Groups. BibRef

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

Syeda-Mahmood, T.F., Cheng, Y.,
Indexing Colored Surfaces in Images,
ICPR96(III: 8-12).
IEEE DOI 9608
(Xerox Webster Research Center, USA) BibRef

Ford, S.J., and McKeown, D.M.,
Utilization of Multispectral Imagery for Cartographic Feature Extraction,
DARPA92(805-820). Application, Cartography. BibRef 9200

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.
WWW Link. 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. Color Perception, Survey. BibRef

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

Gershon, R.,
Empirical Results with a Model of Color Vision,
CVPR85(302-305). (Univ. of Toronto) Why use color. BibRef 8500

Gershon, R., Jepson, A.D., and Tsotsos, J.K.,
Ambient Illumination and the Determination of Material Changes,
JOSA-A(3), No. 10, October 1986, pp. 1700-1707. BibRef 8610

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 measurement of highlights in color images, The. 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

Kolata, G.[Gina],
Color Vision Cells Found in Visual Cortex,
Science(218), 29 October 1982, pp. 457-458. Color. Cells necessary for color contrast in a specific region of the cortex. BibRef 8210

Rubin, J.M.[John M.], Richards, W.A.,
Color Vision: Representing Material Categories,
MIT AI Memo-764, May 1984.
WWW Link. BibRef 8405

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

Richards, W.A.,
A Lightness Scale from Image Intensity Distributions,
MIT AI Memo-648, August 1981. BibRef 8108

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

Chen, Y.S., Hsu, Y.C.,
Computer Vision on a Color-Blindness Plate,
IVC(13), No. 6, August 1995, pp. 463-478.
WWW Link. BibRef 9508

Vriesenga, M., Healey, G., Sklansky, J., Peleg, K.,
Colored Illumination for Enhancing Discriminability in Machine Vision,
JVCIR(6), No. 3, September 1995, pp. 244-255. Abstract:
HTML Version. BibRef 9509

Trussell, H.J., Kulkarni, M.S.,
Sampling and Processing of Color Signals,
IP(5), No. 4, April 1996, pp. 677-681.
IEEE DOI 9605
BibRef
Earlier:
Estimation of color under fluorescent illuminants,
ICIP94(III: 1006-1010).
IEEE DOI 9411
BibRef

Trussell, H.J.,
Sampling and processing of color signals,
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Montag, E.D.,
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Healey, G., and Luong, Q.T.,
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HPRCV97(Chapter II:3). Abstract:
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Trussell, H.J., Allebach, J.P., Fairchild, M.D., Funt, B.V., Wong, P.W.,
Special Issue: Digital Color Imaging,
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Sharma, G., Trussell, H.J.,
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Sharma, G., Trussell, H.J.,
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Sharma, G., Vrhel, M.J., Trussell, H.J.,
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Parraga, C.A., Brelstaff, G., Troscianko, T., Moorehead, I.R.,
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Buluswar, S.D., Draper, B.A.,
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Cheng, F.H., Hsu, W.H., Chen, T.W.,
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Hauta-Kasari, M.[Markku], Miyazawa, K.[Kanae], Toyooka, S.[Satoru], Parkkinen, J.[Jussi],
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Perceptual Significance Hierarchy: A Computer Vision Theory for Color Separation,
AAAI-87(767-771). BibRef 8700

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ICPR88(II: 785-787).
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Color Models, Color Representation .


Last update:Mar 13, 2017 at 16:25:24