메뉴 건너뛰기




Volumn , Issue , 2012, Pages

Color in Computer Vision: Fundamentals and Applications

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84891583454     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781118350089     Document Type: Book
Times cited : (78)

References (368)
  • 1
    • 0002128296 scopus 로고    scopus 로고
    • Opsin genes, cone photopigments, color vision and colorblindness
    • K. Gegenfurtner and L. T. Sharpe, editors, Cambridge University Press, Cambridge
    • L. T. Sharpe, A. Stockman, H. J̈agle, and J. Nathans. Opsin genes, cone photopigments, color vision and colorblindness. In K. Gegenfurtner and L. T. Sharpe, editors, Color vision: From Genes to Perception, pages 3-50. Cambridge University Press, Cambridge, 1999.
    • (1999) Color vision: From Genes to Perception , pp. 3-50
    • Sharpe, L.T.1    Stockman, A.2    J̈agle, H.3    Nathans, J.4
  • 2
    • 0001890353 scopus 로고    scopus 로고
    • Cone spectral sensitivities and color matching
    • K. Gegenfurtner and L. T. Sharpe, editors, Cambridge University Press, Cambridge
    • A. Stockman and L. T. Sharpe. Cone spectral sensitivities and color matching. In K. Gegenfurtner and L. T. Sharpe, editors, Color vision: From Genes to Perception, pages 53-87. Cambridge University Press, Cambridge, 1999.
    • (1999) Color vision: From Genes to Perception , pp. 53-87
    • Stockman, A.1    Sharpe, L.T.2
  • 3
    • 19544390006 scopus 로고    scopus 로고
    • Capacity limits of information processing in the brain
    • R. Marois and J. Ivanoff. Capacity limits of information processing in the brain. Trends in Cognitive Sciences, 9(6): 296-305, 2005.
    • (2005) Trends in Cognitive Sciences , vol.9 , Issue.6 , pp. 296-305
    • Marois, R.1    Ivanoff, J.2
  • 4
    • 0013965072 scopus 로고
    • Spatial and chromatic interactions in the lateral geniculate body of the rhesus monkey
    • T. N. Wiesel and D. H. Hubel. Spatial and chromatic interactions in the lateral geniculate body of the rhesus monkey. Journal of Neurophysiology, 29(6): 1115-1156, 1966.
    • (1966) Journal of Neurophysiology , vol.29 , Issue.6 , pp. 1115-1156
    • Wiesel, T.N.1    Hubel, D.H.2
  • 5
    • 0028117203 scopus 로고
    • The 'blue-on' opponent pathway in primate retina originates from a distinct bistratified ganglion cell type
    • D. M. Dacey and B. B. Lee. The 'blue-on' opponent pathway in primate retina originates from a distinct bistratified ganglion cell type. Nature, 367(6465): 1115-1156, 1994.
    • (1994) Nature , vol.367 , Issue.6465 , pp. 1115-1156
    • Dacey, D.M.1    Lee, B.B.2
  • 6
    • 0347725384 scopus 로고
    • How we see colour
    • R. McDonald, editor, H. Charlesworth & Co Ltd, Huddersfield
    • A. R. Hill. How we see colour. In R. McDonald, editor, Colour physics for industry, pages 211-281. H. Charlesworth & Co Ltd, Huddersfield, 1987.
    • (1987) Colour physics for industry , pp. 211-281
    • Hill, A.R.1
  • 7
    • 79953765040 scopus 로고    scopus 로고
    • Color in the cortex: single- and double-opponent cells
    • R. Shapley and M. J. Hawken. Color in the cortex: single- and double-opponent cells. Vision Research, 51(7): 701-717, 2011.
    • (2011) Vision Research , vol.51 , Issue.7 , pp. 701-717
    • Shapley, R.1    Hawken, M.J.2
  • 10
    • 0034077295 scopus 로고    scopus 로고
    • Time course of chromatic adaptation for color appearance and discrmination
    • O. Rinner and K. R. Gegenfurtner. Time course of chromatic adaptation for color appearance and discrmination. Vision Research, 40(14): 1813-1826, 2000.
    • (2000) Vision Research , vol.40 , Issue.14 , pp. 1813-1826
    • Rinner, O.1    Gegenfurtner, K.R.2
  • 11
    • 31344457728 scopus 로고    scopus 로고
    • Review. sensory, computational and cognitive components of human color constancy
    • H. E. Smithson. Review. sensory, computational and cognitive components of human color constancy. Philosophical Transactions of the Royal Society, 360(1458): 1329-1346, 2005.
    • (2005) Philosophical Transactions of the Royal Society , vol.360 , Issue.1458 , pp. 1329-1346
    • Smithson, H.E.1
  • 12
    • 79953756859 scopus 로고    scopus 로고
    • Color constancy
    • D. H. Foster. Color constancy. Vision Research, 51(7): 674-700, 2011.
    • (2011) Vision Research , vol.51 , Issue.7 , pp. 674-700
    • Foster, D.H.1
  • 14
    • 0017640363 scopus 로고
    • The retinex theory of color vision
    • E. H. Land. The retinex theory of color vision. Scientific American, 237(6): 108-128, 1977.
    • (1977) Scientific American , vol.237 , Issue.6 , pp. 108-128
    • Land, E.H.1
  • 15
    • 0022790833 scopus 로고
    • Formal connections between lightness algorithms
    • A. Hurlbert. Formal connections between lightness algorithms. Journal of the Optical Society of America A, 3(10): 1684-1693, 1986.
    • (1986) Journal of the Optical Society of America A , vol.3 , Issue.10 , pp. 1684-1693
    • Hurlbert, A.1
  • 17
    • 0001091745 scopus 로고
    • Fundamental problems in color vision. i. the principle governing changes in hue saturation and lightness of non-selective samples in chromatic illumination
    • H. Helson. Fundamental problems in color vision. i. the principle governing changes in hue saturation and lightness of non-selective samples in chromatic illumination. Journal of Experimental Psychology, 23(5): 439-476, 1938.
    • (1938) Journal of Experimental Psychology , vol.23 , Issue.5 , pp. 439-476
    • Helson, H.1
  • 19
    • 0021895386 scopus 로고
    • The contrast sensitivity of human colour vision to red-green and blueyellow chromatic gratings
    • K. T. Mullen. The contrast sensitivity of human colour vision to red-green and blueyellow chromatic gratings. Neurotoxicology and Teratology, 359(1): 381-400, 1985.
    • (1985) Neurotoxicology and Teratology , vol.359 , Issue.1 , pp. 381-400
    • Mullen, K.T.1
  • 20
  • 24
    • 0020029838 scopus 로고
    • A chronic impairment of colour vision in users of lsd
    • H. D. Abraham. A chronic impairment of colour vision in users of lsd. Neurotoxicology and Teratology, 140(5): 518-520, 1982.
    • (1982) Neurotoxicology and Teratology , vol.140 , Issue.5 , pp. 518-520
    • Abraham, H.D.1
  • 26
    • 0022181610 scopus 로고
    • Using color to separate reflection components
    • S. A. Shafer. Using color to separate reflection components. Color Research and Application, 10(4): 210-218, 1985.
    • (1985) Color Research and Application , vol.10 , Issue.4 , pp. 210-218
    • Shafer, S.A.1
  • 29
    • 0031073223 scopus 로고    scopus 로고
    • Physics-based segmentation of complex objects using multiple hypothesis of image formation
    • B. A. Maxwell and S. A. Shafer. Physics-based segmentation of complex objects using multiple hypothesis of image formation. Computer Vision and Image Understanding, 65(2): 265-295, 1997.
    • (1997) Computer Vision and Image Understanding , vol.65 , Issue.2 , pp. 265-295
    • Maxwell, B.A.1    Shafer, S.A.2
  • 32
    • 11644280909 scopus 로고
    • New contribution to the optics of intensely light- scattering materials, part i
    • P. Kubelka. New contribution to the optics of intensely light- scattering materials, part i. Journal of the Optical Society of America A, 38(5): 448-457, 1948.
    • (1948) Journal of the Optical Society of America A , vol.38 , Issue.5 , pp. 448-457
    • Kubelka, P.1
  • 33
    • 0000852963 scopus 로고
    • Influence of adaptation on the effects produced by luminous stimuli
    • D. L. MacAdam, editor, MIT Press, Cambridge (MA)
    • J. von Kries. Influence of adaptation on the effects produced by luminous stimuli. In D. L. MacAdam, editor, Sources of Color Vision, pages 109-119. MIT Press, Cambridge (MA), 1970.
    • (1970) Sources of Color Vision , pp. 109-119
    • von Kries, J.1
  • 36
    • 0028431439 scopus 로고
    • Spectral sharpening: sensor transformations for improved color constancy
    • G. D. Finlayson, M. S. Drew, and B. V. Funt. Spectral sharpening: sensor transformations for improved color constancy. Journal of the Optical Society of America A, 11(5): 1553-1563, 1994.
    • (1994) Journal of the Optical Society of America A , vol.11 , Issue.5 , pp. 1553-1563
    • Finlayson, G.D.1    Drew, M.S.2    Funt, B.V.3
  • 37
    • 0003953928 scopus 로고
    • Sinauer Associates, Inc., Sunderland (MA)
    • B. A. Wandell. Foundations of Vision. Sinauer Associates, Inc., Sunderland (MA), 1995.
    • (1995) Foundations of Vision
    • Wandell, B.A.1
  • 38
    • 0033895101 scopus 로고    scopus 로고
    • Pictoseek: combining color and shape invariant features for image retrieval
    • Th. Gevers and A. W. M. Smeulders. Pictoseek: combining color and shape invariant features for image retrieval. IEEE Transactions on Image Processing, 9(1): 102-119, 2000.
    • (2000) IEEE Transactions on Image Processing , vol.9 , Issue.1 , pp. 102-119
    • Gevers, T.1    Smeulders, A.W.M.2
  • 39
    • 0031210680 scopus 로고    scopus 로고
    • Error propagation analysis in color measurement and imaging
    • P. D. Burns and R. S. Berns. Error propagation analysis in color measurement and imaging. Color Research and Application, 22(4): 280-289, 1997.
    • (1997) Color Research and Application , vol.22 , Issue.4 , pp. 280-289
    • Burns, P.D.1    Berns, R.S.2
  • 40
    • 0032162991 scopus 로고    scopus 로고
    • Histogram-based segmentation in a perceptually uniform color space
    • L. Shafarenko, M. Petrou, and J. Kittler. Histogram-based segmentation in a perceptually uniform color space. IEEE Transactions on Image Processing, 7(9): 1354-1358, 1998.
    • (1998) IEEE Transactions on Image Processing , vol.7 , Issue.9 , pp. 1354-1358
    • Shafarenko, L.1    Petrou, M.2    Kittler, J.3
  • 51
    • 0345848042 scopus 로고    scopus 로고
    • Basic methods for image restoration and identification
    • A. Bovik, editor, Academic Press, Burlington (MA)
    • R. L. Lagendijk and J. Biemond. Basic methods for image restoration and identification. In A. Bovik, editor, The Image and Video Processing Handbook, pages 125-139. Academic Press, Burlington (MA), 1999.
    • (1999) The Image and Video Processing Handbook , pp. 125-139
    • Lagendijk, R.L.1    Biemond, J.2
  • 54
    • 0032207814 scopus 로고    scopus 로고
    • Feature detection with automatic scale selection
    • T. Lindeberg. Feature detection with automatic scale selection. International Journal of Computer Vision, 30(2): 117-154, 1998.
    • (1998) International Journal of Computer Vision , vol.30 , Issue.2 , pp. 117-154
    • Lindeberg, T.1
  • 55
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2): 91-110, 2004.
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 60
    • 0021136434 scopus 로고
    • The structure of images
    • J. J. Koenderink. The structure of images. Biological Cybernetics, 50(5): 363-3710, 1984.
    • (1984) Biological Cybernetics , vol.50 , Issue.5 , pp. 363-3710
    • Koenderink, J.J.1
  • 64
    • 84886345702 scopus 로고
    • Basic Parameter Values for the (HDTV) Standard for the Studio and for International Programme Exchange. Technical Report ITU-R Rec. BT. 709, International Telecommunications Union, Switzerland
    • Basic Parameter Values for the (HDTV) Standard for the Studio and for International Programme Exchange. Technical Report ITU-R Rec. BT. 709, International Telecommunications Union, Switzerland, 1990.
    • (1990)
  • 69
    • 0022559263 scopus 로고
    • Color constancy: a method for recovering surface spectral reflectance
    • L. T. Maloney and B. A. Wandell. Color constancy: a method for recovering surface spectral reflectance. Journal of the Optical Society of America A, 3(1): 29-33, 1986.
    • (1986) Journal of the Optical Society of America A , vol.3 , Issue.1 , pp. 29-33
    • Maloney, L.T.1    Wandell, B.A.2
  • 70
    • 84886353167 scopus 로고    scopus 로고
    • The PANTONE Color Formula Guide, editor. 1992-1993, Group Basf, Paris, France, Pantone is a trademark of Patone Inc
    • The PANTONE Color Formula Guide, editor. 1992-1993, Group Basf, Paris, France, Pantone is a trademark of Patone Inc.
  • 72
  • 75
    • 10444259853 scopus 로고    scopus 로고
    • Creating diversity in ensembles using artificial data
    • P. Melville and R. Mooney. Creating diversity in ensembles using artificial data. Information Fusion, 6(3): 1553-1563, 2005.
    • (2005) Information Fusion , vol.6 , Issue.3 , pp. 1553-1563
    • Melville, P.1    Mooney, R.2
  • 76
    • 0029372769 scopus 로고
    • Methods for combining experts' probability assessments
    • R. A. Jacobs. Methods for combining experts' probability assessments. Neural Computation, 7(5): 867-888, 1995.
    • (1995) Neural Computation , vol.7 , Issue.5 , pp. 867-888
    • Jacobs, R.A.1
  • 80
    • 0013372968 scopus 로고    scopus 로고
    • Uniform object generation for optimizing one-class classifiers
    • D. M. J. Tax and R. P. W. Duin. Uniform object generation for optimizing one-class classifiers. Journal of Machine Learning Research, 2: 155-173, 2002.
    • (2002) Journal of Machine Learning Research , vol.2 , pp. 155-173
    • Tax, D.M.J.1    Duin, R.P.W.2
  • 82
    • 57749168317 scopus 로고    scopus 로고
    • Estimation error and portfolio optimization: a resampling solution
    • R. Michaud. Estimation error and portfolio optimization: a resampling solution. Journal of Investment Management, 6(1): 8-28, 2008.
    • (2008) Journal of Investment Management , vol.6 , Issue.1 , pp. 8-28
    • Michaud, R.1
  • 84
    • 7544220289 scopus 로고    scopus 로고
    • Resampled frontiers versus diffuse bayes: an experiment
    • N. Usmen and H. Markowitz. Resampled frontiers versus diffuse bayes: an experiment. Journal of Investment Management, 1(4): 1-17, 2003.
    • (2003) Journal of Investment Management , vol.1 , Issue.4 , pp. 1-17
    • Usmen, N.1    Markowitz, H.2
  • 87
    • 0000157150 scopus 로고
    • Stock returns volatility in the tokyo stock exchange
    • Y. K. Tse. Stock returns volatility in the tokyo stock exchange. Japan and the World Economy, 3(3): 285-298, 1991.
    • (1991) Japan and the World Economy , vol.3 , Issue.3 , pp. 285-298
    • Tse, Y.K.1
  • 95
    • 84886318456 scopus 로고    scopus 로고
    • The Caltech Frontal Face Dataset Computational Vision: Archive, by M. Weber. California Institute of Technology, USA, 2001. Accessed 2008
    • The Caltech Frontal Face Dataset Computational Vision: Archive, by M. Weber. California Institute of Technology, USA, 2001. Available online at http://www.vision.caltech.edu/html-files/archive.html. Accessed 2008.
  • 97
    • 0001884644 scopus 로고
    • Individual comparisons by ranking methods
    • F. Wilcoxon. Individual comparisons by ranking methods. Biometrics Bulletin, 1(6): 80-83, 1945.
    • (1945) Biometrics Bulletin , vol.1 , Issue.6 , pp. 80-83
    • Wilcoxon, F.1
  • 100
    • 0032097277 scopus 로고    scopus 로고
    • A novel method for automatic face segmentation, facial feature extraction and tracking
    • K. Sobottka and I. Pitas. A novel method for automatic face segmentation, facial feature extraction and tracking. Signal Processing-Image Communication, 12(3): 263-281, 1998.
    • (1998) Signal Processing-Image Communication , vol.12 , Issue.3 , pp. 263-281
    • Sobottka, K.1    Pitas, I.2
  • 104
    • 54949146507 scopus 로고    scopus 로고
    • Color image segmentation in hsi space for automotive applications
    • C. Rotaru, T. Graf, and J. Zhang. Color image segmentation in hsi space for automotive applications. Journal of Real-Time Image Processing, 3(4): 1164-1173, 2008.
    • (2008) Journal of Real-Time Image Processing , vol.3 , Issue.4 , pp. 1164-1173
    • Rotaru, C.1    Graf, T.2    Zhang, J.3
  • 109
    • 3843086928 scopus 로고    scopus 로고
    • Color constancy: developing empirical tests of computational models
    • R. Mausfeld and D. Heyer, editors, Oxford University Press, Oxford, UK
    • D. H. Brainard, J. M. Kraft, and P. Longere. Color constancy: developing empirical tests of computational models. In R. Mausfeld and D. Heyer, editors, Colour Perception: From Light To Object, pages 307-334. Oxford University Press, Oxford, UK, 2003.
    • (2003) Colour Perception: From Light To Object , pp. 307-334
    • Brainard, D.H.1    Kraft, J.M.2    Longere, P.3
  • 110
    • 1542507119 scopus 로고    scopus 로고
    • Does human color constancy incorporate the statistical regularity of natural daylight?
    • P. B. Delahunt and D. H. Brainard. Does human color constancy incorporate the statistical regularity of natural daylight? Journal of Vision, 4(2): 57-81, 2004.
    • (2004) Journal of Vision , vol.4 , Issue.2 , pp. 57-81
    • Delahunt, P.B.1    Brainard, D.H.2
  • 111
    • 33750123651 scopus 로고    scopus 로고
    • Color constancy in natural scenes explained by global image statistics
    • D. H. Foster, K. Amano, and S. M. C. Nascimento. Color constancy in natural scenes explained by global image statistics. Visual Neuroscience, 23(3-4): 341-349, 2006.
    • (2006) Visual Neuroscience , vol.23 , Issue.3-4 , pp. 341-349
    • Foster, D.H.1    Amano, K.2    Nascimento, S.M.C.3
  • 112
    • 0022619304 scopus 로고
    • Recent advances in retinex theory
    • E. H. Land. Recent advances in retinex theory. Vision Research, 26: 7-21, 1986.
    • (1986) Vision Research , vol.26 , pp. 7-21
    • Land, E.H.1
  • 114
    • 0031188657 scopus 로고    scopus 로고
    • A multiscale retinex for bridging the gap between color images and the human observation of scenes
    • D. J. Jobson, Z. Rahman, and G. A. Woodell. A multiscale retinex for bridging the gap between color images and the human observation of scenes. IEEE Transactions on Image Processing, 6(7): 965-976, 1997.
    • (1997) IEEE Transactions on Image Processing , vol.6 , Issue.7 , pp. 965-976
    • Jobson, D.J.1    Rahman, Z.2    Woodell, G.A.3
  • 115
    • 50249134160 scopus 로고    scopus 로고
    • A spatially variant white-patch and gray-world method for color image enhancement driven by local contrast
    • E. Provenzi, C. Gatta, M. Fierro, and A. Rizzi. A spatially variant white-patch and gray-world method for color image enhancement driven by local contrast. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(10): 1757-1770, 2008.
    • (2008) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.30 , Issue.10 , pp. 1757-1770
    • Provenzi, E.1    Gatta, C.2    Fierro, M.3    Rizzi, A.4
  • 117
    • 0037034043 scopus 로고    scopus 로고
    • Influence of scene statistics on colour constancy
    • J. Golz and D. I. A. MacLeod. Influence of scene statistics on colour constancy. Nature, 415: 637-640, 2002.
    • (2002) Nature , vol.415 , pp. 637-640
    • Golz, J.1    MacLeod, D.I.A.2
  • 118
    • 54949132154 scopus 로고    scopus 로고
    • The role of chromatic scene statistics in color constancy: Spatial integration
    • J. Golz. The role of chromatic scene statistics in color constancy: Spatial integration. Journal of Vision, 8(13): 1-16, 2008.
    • (2008) Journal of Vision , vol.8 , Issue.13 , pp. 1-16
    • Golz, J.1
  • 119
    • 34250690926 scopus 로고    scopus 로고
    • Failure of luminance-redness correlation for illuminant estimation
    • IS&T-The Society for Imaging Science and Technology
    • F. Ciurea and B. V. Funt. Failure of luminance-redness correlation for illuminant estimation. In IS&T/SID's Color Imaging Conference, pages 42-46. IS&T-The Society for Imaging Science and Technology, 2004.
    • (2004) IS&T/SID's Color Imaging Conference , pp. 42-46
    • Ciurea, F.1    Funt, B.V.2
  • 122
    • 54049120307 scopus 로고    scopus 로고
    • Constancy, categories and bayes: a new approach to representational theories of color constancy
    • P. Bradley. Constancy, categories and bayes: a new approach to representational theories of color constancy. Philosophical Psychology, 21(5): 601-627, 2008.
    • (2008) Philosophical Psychology , vol.21 , Issue.5 , pp. 601-627
    • Bradley, P.1
  • 123
    • 75349111086 scopus 로고    scopus 로고
    • Perception of illuminant colour changes across real scene
    • V. M. N. de Almeida and S. M. C. Nascimento. Perception of illuminant colour changes across real scene. Perception, 38(8): 1109-1117, 2009.
    • (2009) Perception , vol.38 , Issue.8 , pp. 1109-1117
    • de Almeida, V.M.N.1    Nascimento, S.M.C.2
  • 124
    • 54249118106 scopus 로고    scopus 로고
    • Representation or context as a cognitive strategy in colour constancy?
    • T. W. Lin and C. W. Sun. Representation or context as a cognitive strategy in colour constancy? Perception, 37(9): 1353-1367, 2008.
    • (2008) Perception , vol.37 , Issue.9 , pp. 1353-1367
    • Lin, T.W.1    Sun, C.W.2
  • 125
    • 65349141229 scopus 로고    scopus 로고
    • Color constancy improves for real 3d objects
    • M. Hedrich, M. Bloj, and A. I. Ruppertsberg. Color constancy improves for real 3d objects. Journal of Vision, 9(4): 2009, 1-16.
    • (2009) Journal of Vision , vol.9 , Issue.4 , pp. 1-16
    • Hedrich, M.1    Bloj, M.2    Ruppertsberg, A.I.3
  • 126
    • 8344266790 scopus 로고    scopus 로고
    • Information limits on neural identification of colored surfaces in natural scenes
    • D. H. Foster, S. M. C. Nascimento, and K. Amano. Information limits on neural identification of colored surfaces in natural scenes. Visual Neuroscience, 21: 331-336, 2004.
    • (2004) Visual Neuroscience , vol.21 , pp. 331-336
    • Foster, D.H.1    Nascimento, S.M.C.2    Amano, K.3
  • 130
    • 67449111121 scopus 로고    scopus 로고
    • Color constancy based on local space average color
    • M. Ebner. Color constancy based on local space average color. Machine Vision and Applications, 20(5): 283-301, 2009.
    • (2009) Machine Vision and Applications , vol.20 , Issue.5 , pp. 283-301
    • Ebner, M.1
  • 131
    • 57649098488 scopus 로고    scopus 로고
    • Light mixture estimation for spatially varying white balance
    • E. Hsu, T. Mertens, S. Paris, S. Avidan, and F. Durand. Light mixture estimation for spatially varying white balance. In ACM SIGGRAPH, pages 1-7, 2008.
    • (2008) ACM SIGGRAPH , pp. 1-7
    • Hsu, E.1    Mertens, T.2    Paris, S.3    Avidan, S.4    Durand, F.5
  • 133
    • 0020445871 scopus 로고
    • Necessary and sufficient conditions for von kries chromatic adaptation to give color constancy
    • G. West and M. H. Brill. Necessary and sufficient conditions for von kries chromatic adaptation to give color constancy. Journal of Mathematical Biology, 15(2): 249-258, 1982.
    • (1982) Journal of Mathematical Biology , vol.15 , Issue.2 , pp. 249-258
    • West, G.1    Brill, M.H.2
  • 134
    • 0013340042 scopus 로고    scopus 로고
    • Diagonal versus affine transformations for color correction
    • B. V. Funt and B. C. Lewis. Diagonal versus affine transformations for color correction. Journal of the Optical Society of America A, 17(11): 2108-2112, 2000.
    • (2000) Journal of the Optical Society of America A , vol.17 , Issue.11 , pp. 2108-2112
    • Funt, B.V.1    Lewis, B.C.2
  • 137
    • 0019035311 scopus 로고
    • A spatial processor model for object colour perception
    • G. Buchsbaum. A spatial processor model for object colour perception. Journal of the Franklin Institute, 310(1): 1-26, 1980.
    • (1980) Journal of the Franklin Institute , vol.310 , Issue.1 , pp. 1-26
    • Buchsbaum, G.1
  • 138
    • 33748299878 scopus 로고    scopus 로고
    • Shades of gray and colour constancy
    • IS&T-The Society for Imaging Science and Technology
    • G. D. Finlayson and E. Trezzi. Shades of gray and colour constancy. In IS &T/SID's Color Imaging Conference, pages 37-41. IS&T-The Society for Imaging Science and Technology, 2004.
    • (2004) IS &T/SID's Color Imaging Conference , pp. 37-41
    • Finlayson, G.D.1    Trezzi, E.2
  • 141
    • 0036709248 scopus 로고    scopus 로고
    • A comparison of computational color constancy algorithms; part ii: Experiments with image data
    • K. Barnard, L. Martin, A. Coath, and B. V Funt. A comparison of computational color constancy algorithms; part ii: Experiments with image data. IEEE Transactions on Image Processing, 11(9): 985-996, 2002.
    • (2002) IEEE Transactions on Image Processing , vol.11 , Issue.9 , pp. 985-996
    • Barnard, K.1    Martin, L.2    Coath, A.3    Funt, B.V.4
  • 142
    • 37349063740 scopus 로고    scopus 로고
    • Automatic white balancing via gray surface identification
    • IS&T-The Society for Imaging Science and Technology
    • W. Xiong, B. V. Funt, L. Shi, S. S. Kim, B. H. Kang, S. D. Lee, and C. Y. Kim. Automatic white balancing via gray surface identification. In IS &T/SID's Color Imaging Conference, pages 143-146. IS&T-The Society for Imaging Science and Technology, 2007.
    • (2007) IS &T/SID's Color Imaging Conference , pp. 143-146
    • Xiong, W.1    Funt, B.V.2    Shi, L.3    Kim, S.S.4    Kang, B.H.5    Lee, S.D.6    Kim, C.Y.7
  • 143
    • 65649127215 scopus 로고    scopus 로고
    • Cluster based color constancy
    • IS&T-The Society for Imaging Science and Technology
    • W. Xiong and B. V. Funt. Cluster based color constancy. In IS&T/SID's Color Imaging Conference, pages 210-214. IS&T-The Society for Imaging Science and Technology, 2008.
    • (2008) IS&T/SID's Color Imaging Conference , pp. 210-214
    • Xiong, W.1    Funt, B.V.2
  • 147
    • 84860243339 scopus 로고    scopus 로고
    • The rehabilitation of maxrgb
    • IS&T-The Society for Imaging Science and Technology
    • B. V. Funt and L. Shi. The rehabilitation of maxrgb. In IS&T/SID's Color Imaging Conference. IS&T-The Society for Imaging Science and Technology, 2010.
    • (2010) IS&T/SID's Color Imaging Conference
    • Funt, B.V.1    Shi, L.2
  • 150
    • 0022720492 scopus 로고
    • An alternative technique for the computation of the designator in the retinex theory of color vision
    • E. H. Land. An alternative technique for the computation of the designator in the retinex theory of color vision. Proceedings of the National Academy of Sciences of the United States of America, 83(10): 3078-3080, 1986.
    • (1986) Proceedings of the National Academy of Sciences of the United States of America , vol.83 , Issue.10 , pp. 3078-3080
    • Land, E.H.1
  • 154
    • 0022792191 scopus 로고
    • Method for computing the scene-illuminant chromaticity from specular highlights
    • H. C. Lee. Method for computing the scene-illuminant chromaticity from specular highlights. Journal of the Optical Society of America A, 3(10): 1694-1699, 1986.
    • (1986) Journal of the Optical Society of America A , vol.3 , Issue.10 , pp. 1694-1699
    • Lee, H.C.1
  • 156
    • 0026238930 scopus 로고
    • Estimating spectral reflectance using highlights
    • G. Healey. Estimating spectral reflectance using highlights. Image and Vision Computing, 9(5): 333-337, 1991.
    • (1991) Image and Vision Computing , vol.9 , Issue.5 , pp. 333-337
    • Healey, G.1
  • 158
    • 0035328525 scopus 로고    scopus 로고
    • Solving for colour constancy using a constrained dichromatic reflection model
    • G. D. Finlayson and G. Schaefer. Solving for colour constancy using a constrained dichromatic reflection model. International Journal of Computer Vision, 42(3): 127-144, 2001.
    • (2001) International Journal of Computer Vision , vol.42 , Issue.3 , pp. 127-144
    • Finlayson, G.D.1    Schaefer, G.2
  • 159
    • 33847757523 scopus 로고    scopus 로고
    • A multilinear constraint on dichromatic planes for illumination estimation
    • January
    • J. Toro and B. V. Funt. A multilinear constraint on dichromatic planes for illumination estimation. IEEE Transactions on Image Processing, 16(1): 92-97, January 2007.
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.1 , pp. 92-97
    • Toro, J.1    Funt, B.V.2
  • 160
    • 40849106313 scopus 로고    scopus 로고
    • Dichromatic illumination estimation without pre-segmentation
    • J. Toro. Dichromatic illumination estimation without pre-segmentation. Pattern Recognition Letters, 29(7): 871-877, 2008.
    • (2008) Pattern Recognition Letters , vol.29 , Issue.7 , pp. 871-877
    • Toro, J.1
  • 163
    • 60349123089 scopus 로고    scopus 로고
    • Improvements to gamut mapping colour constancy algorithms
    • K. Barnard. Improvements to gamut mapping colour constancy algorithms. In European Conference on Computer Vision, pages 390-403, 2000.
    • (2000) European Conference on Computer Vision , pp. 390-403
    • Barnard, K.1
  • 166
    • 0033149091 scopus 로고    scopus 로고
    • Selection for gamut mapping colour constancy
    • G. D. Finalyson and S. D. Hordley. Selection for gamut mapping colour constancy. Image and Vision Computing, 17(8): 597-604, 1999.
    • (1999) Image and Vision Computing , vol.17 , Issue.8 , pp. 597-604
    • Finalyson, G.D.1    Hordley, S.D.2
  • 169
    • 0036709479 scopus 로고    scopus 로고
    • A comparison of computational color constancy algorithms; part i: Methodology and experiments with synthesized data
    • K. Barnard, V. C. Cardei, and B. V. Funt. A comparison of computational color constancy algorithms; part i: Methodology and experiments with synthesized data. IEEE Transactions on Image Processing, 11(9): 972-984, 2002.
    • (2002) IEEE Transactions on Image Processing , vol.11 , Issue.9 , pp. 972-984
    • Barnard, K.1    Cardei, V.C.2    Funt, B.V.3
  • 170
    • 0001382224 scopus 로고    scopus 로고
    • Color constancy with specular and non-specular surfaces
    • K. Barnard and B. Funt. Color constancy with specular and non-specular surfaces. In IS&T/SID's Color Imaging Conference, pages 114-119, 1999.
    • (1999) IS&T/SID's Color Imaging Conference , pp. 114-119
    • Barnard, K.1    Funt, B.2
  • 173
    • 72949124250 scopus 로고    scopus 로고
    • Generalized gamut mapping using image derivative structures for color constancy
    • A. Gijsenij, Th. Gevers, and J. van de Weijer. Generalized gamut mapping using image derivative structures for color constancy. International Journal of Computer Vision, 86(2-3): 127-139, 2010.
    • (2010) International Journal of Computer Vision , vol.86 , Issue.2-3 , pp. 127-139
    • Gijsenij, A.1    Gevers, T.2    van de Weijer, J.3
  • 174
    • 0023141705 scopus 로고
    • Representation of local geometry in the visual system
    • J. J. Koenderink and A. J. van Doom. Representation of local geometry in the visual system. Biological Cybernetics, 55(6): 367-375, 1987.
    • (1987) Biological Cybernetics , vol.55 , Issue.6 , pp. 367-375
    • Koenderink, J.J.1    van Doom, A.J.2
  • 176
    • 33745539749 scopus 로고    scopus 로고
    • Scene illuminant estimation: past, present, and future
    • S. D. Hordley. Scene illuminant estimation: past, present, and future. Color Research and Application, 31(4): 303-314, 2006.
    • (2006) Color Research and Application , vol.31 , Issue.4 , pp. 303-314
    • Hordley, S.D.1
  • 177
    • 57049099088 scopus 로고    scopus 로고
    • Consensus-based framework for illuminant chromaticity estimation
    • 023013-1-9
    • S. Bianco, F. Gasparini, and R. Schettini. Consensus-based framework for illuminant chromaticity estimation. Journal of Electronic Imaging, 17(2): 023013-1-9, 2008.
    • (2008) Journal of Electronic Imaging , vol.17 , Issue.2
    • Bianco, S.1    Gasparini, F.2    Schettini, R.3
  • 179
    • 0041571878 scopus 로고    scopus 로고
    • Estimating the scene illumination chromaticity using a neural network
    • V. C. Cardei, B. V. Funt, and K. Barnard. Estimating the scene illumination chromaticity using a neural network. Journal of the Optical Society of America A, 19(12): 2374-2386, 2002.
    • (2002) Journal of the Optical Society of America A , vol.19 , Issue.12 , pp. 2374-2386
    • Cardei, V.C.1    Funt, B.V.2    Barnard, K.3
  • 180
    • 34250690939 scopus 로고    scopus 로고
    • Estimating illumination chromaticity via support vector regression
    • IS&T-The Society for Imaging Science and Technology
    • B. V. Funt and W. Xiong. Estimating illumination chromaticity via support vector regression. In IS&T/SID's Color Imaging Conference, pages 47-52. IS&T-The Society for Imaging Science and Technology, 2004.
    • (2004) IS&T/SID's Color Imaging Conference , pp. 47-52
    • Funt, B.V.1    Xiong, W.2
  • 181
    • 33748307413 scopus 로고    scopus 로고
    • Estimating illumination chromaticity via support vector regression
    • W. Xiong and B. V. Funt. Estimating illumination chromaticity via support vector regression. Journal of Imaging Science and Technology, 50(4): 341-348, 2006.
    • (2006) Journal of Imaging Science and Technology , vol.50 , Issue.4 , pp. 341-348
    • Xiong, W.1    Funt, B.V.2
  • 182
    • 77950192131 scopus 로고    scopus 로고
    • Edge-based color constancy via support vector regression
    • E92-D(11)
    • N. Wang, D. Xu, and B. Li. Edge-based color constancy via support vector regression. IEICE Transactions on Information and Systems, E92-D(11): 2279-2282, 2009.
    • (2009) IEICE Transactions on Information and Systems , pp. 2279-2282
    • Wang, N.1    Xu, D.2    Li, B.3
  • 184
    • 34547123830 scopus 로고    scopus 로고
    • Machine learning approach to color constancy
    • V. Agarwal, A. V. Gribok, and M. A. Abidi. Machine learning approach to color constancy. Neural Networks, 20(5): 559-563, 2007.
    • (2007) Neural Networks , vol.20 , Issue.5 , pp. 559-563
    • Agarwal, V.1    Gribok, A.V.2    Abidi, M.A.3
  • 195
    • 0038266518 scopus 로고    scopus 로고
    • Committee-based color constancy
    • IS&T-The Society for Imaging Science and Technology
    • V. C. Cardei and B. V. Funt. Committee-based color constancy. In IS&T/SID's Color Imaging Conference, pages 311-313. IS&T-The Society for Imaging Science and Technology, 1999.
    • (1999) IS&T/SID's Color Imaging Conference , pp. 311-313
    • Cardei, V.C.1    Funt, B.V.2
  • 199
  • 201
    • 8844254096 scopus 로고    scopus 로고
    • A large image database for color constancy research
    • IS&T-The Society for Imaging Science and Technology
    • F. Ciurea and B. V. Funt. A large image database for color constancy research. In IS&T/SID's Color Imaging Conference, pages 160-164. IS&T-The Society for Imaging Science and Technology, 2003.
    • (2003) IS&T/SID's Color Imaging Conference , pp. 160-164
    • Ciurea, F.1    Funt, B.V.2
  • 203
    • 0000371995 scopus 로고    scopus 로고
    • Statistics of cone responses to natural images: implications for visual coding
    • D. L. Ruderman, T. W. Cronin, and C. C. Chiao. Statistics of cone responses to natural images: implications for visual coding. Journal of the Optical Society of America A, 15(8): 2036-2045, 1998.
    • (1998) Journal of the Optical Society of America A , vol.15 , Issue.8 , pp. 2036-2045
    • Ruderman, D.L.1    Cronin, T.W.2    Chiao, C.C.3
  • 204
    • 77954295735 scopus 로고    scopus 로고
    • Colour constancy based on texture similarity for natural images
    • B. Li, D. Xu, and C. Lang. Colour constancy based on texture similarity for natural images. Coloration Technology, 125(6): 328-333, 2009.
    • (2009) Coloration Technology , vol.125 , Issue.6 , pp. 328-333
    • Li, B.1    Xu, D.2    Lang, C.3
  • 206
    • 70449701519 scopus 로고    scopus 로고
    • Automatic color constancy algorithm selection and combination
    • S. Bianco, G. Ciocca, C. Cusano, and R. Schettini. Automatic color constancy algorithm selection and combination. Pattern Recognition, 43(3): 695-705, 2010.
    • (2010) Pattern Recognition , vol.43 , Issue.3 , pp. 695-705
    • Bianco, S.1    Ciocca, G.2    Cusano, C.3    Schettini, R.4
  • 207
    • 77957867268 scopus 로고    scopus 로고
    • Color constancy based on texture pyramid matching and regularized local regression
    • M. Wu, J. Sun, J. Zhou, and G. Xue. Color constancy based on texture pyramid matching and regularized local regression. Journal of the Optical Society of America A, 27(10): 2097-2105, 2010.
    • (2010) Journal of the Optical Society of America A , vol.27 , Issue.10 , pp. 2097-2105
    • Wu, M.1    Sun, J.2    Zhou, J.3    Xue, G.4
  • 209
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: a holistic representation of the spatial envelope
    • A. Oliva and A. Torralba. Modeling the shape of the scene: a holistic representation of the spatial envelope. International Journal of Computer Vision, 42(3): 145-175, 2001.
    • (2001) International Journal of Computer Vision , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 210
    • 84898037974 scopus 로고    scopus 로고
    • Compact object descriptors from local colour invariant histograms
    • J. M. Geusebroek. Compact object descriptors from local colour invariant histograms. In British Machine Vision Conference, pages 1029-1038, 2006.
    • (2006) British Machine Vision Conference , pp. 1029-1038
    • Geusebroek, J.M.1
  • 223
    • 79959192738 scopus 로고    scopus 로고
    • A new cone activation-based natural images dataset
    • 36(ECVP Abstract Supplement)
    • C. A. Ṕarraga, J. Vazquez-Corral, and M. Vanrell. A new cone activation-based natural images dataset. Perception, 36(ECVP Abstract Supplement): 180, 2009.
    • (2009) Perception , pp. 180
    • Ṕarraga, C.A.1    Vazquez-Corral, J.2    Vanrell, M.3
  • 225
    • 0004163466 scopus 로고
    • Commission Internationale de L'Eclairage (CIE)
    • Commission Internationale de L'Eclairage (CIE). Colorimetry, 2nd Ed. CIE Publication No. 15.2, Central Bureau of the CIE, Vienna, Austria, 1986.
    • (1986) Colorimetry
  • 226
    • 0041296122 scopus 로고    scopus 로고
    • Commission Internationale de L'Eclairage (CIE). CIE Publication No. 142-2001, Central Bureau of the CIE, Vienna, Austria
    • Commission Internationale de L'Eclairage (CIE). Improvement to Industrial Colour-difference Evaluation. CIE Publication No. 142-2001, Central Bureau of the CIE, Vienna, Austria, 2001.
    • (2001) Improvement to Industrial Colour-difference Evaluation
  • 227
    • 0039891157 scopus 로고
    • Zur entwicklung der albedowahrnehmung
    • E. Brunswik. Zur entwicklung der albedowahrnehmung. Zeitschrift fur Psychologie, 109: 40-115, 1928.
    • (1928) Zeitschrift fur Psychologie , vol.109 , pp. 40-115
    • Brunswik, E.1
  • 232
    • 84886337414 scopus 로고    scopus 로고
    • Re-processed version of the Gehler color constancy database of 568 images. Accessed 2010 Nov 1
    • L. Shi and B. V. Funt. Re-processed version of the Gehler color constancy database of 568 images. Available at http://www.cs.sfu.ca/colour/data/. Accessed 2010 Nov 1.
    • Shi, L.1    Funt, B.V.2
  • 233
    • 84886332480 scopus 로고    scopus 로고
    • LIBSVM: a library for support vector machines, 2001. Software. Accessed 2010
    • C.-C. Chang and C-J. Lin. LIBSVM: a library for support vector machines, 2001. Software Available at http://www.csie.ntu.edu.tw/cjlin/libsvm. Accessed 2010.
    • Chang, C.-C.1    Lin, C.-J.2
  • 237
    • 0031335972 scopus 로고    scopus 로고
    • Pattern recognition in images by symmetry and coordinate transformations
    • J. Bigun. Pattern recognition in images by symmetry and coordinate transformations. Computer Vision and Image Understanding, 68(3): 290-307, 1997.
    • (1997) Computer Vision and Image Understanding , vol.68 , Issue.3 , pp. 290-307
    • Bigun, J.1
  • 238
    • 0003049677 scopus 로고
    • Local symmetry modeling in multi-dimensional images
    • O. Hansen and J. Bigun. Local symmetry modeling in multi-dimensional images. Pattern Recognition Letters, 13(4): 253-262, 1992.
    • (1992) Pattern Recognition Letters , vol.13 , Issue.4 , pp. 253-262
    • Hansen, O.1    Bigun, J.2
  • 241
    • 0030286977 scopus 로고    scopus 로고
    • Anisotropic diffusion of multivalued images with applications to color filtering
    • G. Sapiro and D. L. Ringach. Anisotropic diffusion of multivalued images with applications to color filtering. IEEE Transactions on Image Processing, 5(11): 1582-1586, 1996.
    • (1996) IEEE Transactions on Image Processing , vol.5 , Issue.11 , pp. 1582-1586
    • Sapiro, G.1    Ringach, D.L.2
  • 243
    • 0019397313 scopus 로고
    • Generalizing the hough transform to detect arbitrary shapes
    • D. H. Ballard. Generalizing the hough transform to detect arbitrary shapes. Pattern Recognition, 12(2): 111-122, 1981.
    • (1981) Pattern Recognition , vol.12 , Issue.2 , pp. 111-122
    • Ballard, D.H.1
  • 251
    • 0035286497 scopus 로고    scopus 로고
    • Computational modelling of visual attention
    • L. Itti and C. Koch. Computational modelling of visual attention. Nature Reviews Neuroscience, 2(3): 194-203, 2001.
    • (2001) Nature Reviews Neuroscience , vol.2 , Issue.3 , pp. 194-203
    • Itti, L.1    Koch, C.2
  • 255
    • 84886320033 scopus 로고    scopus 로고
    • Corel Gallery. Accessed 2004
    • Corel Gallery. Available at http://www.corel.com. Accessed 2004.
  • 260
    • 0344509211 scopus 로고    scopus 로고
    • Object recognition using local affine frames on distinguished regions
    • S. Odbrzalek and J. Matas. Object recognition using local affine frames on distinguished regions. In British Machine Vision Conference, 2002.
    • (2002) British Machine Vision Conference
    • Odbrzalek, S.1    Matas, J.2
  • 261
    • 33644508026 scopus 로고    scopus 로고
    • 3d object modeling and recognition using local affine-invariant image descriptors and multi-view spatial constraints
    • F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. 3d object modeling and recognition using local affine-invariant image descriptors and multi-view spatial constraints. International Journal of Computer Vision, 66(3): 231-259, 2006.
    • (2006) International Journal of Computer Vision , vol.66 , Issue.3 , pp. 231-259
    • Rothganger, F.1    Lazebnik, S.2    Schmid, C.3    Ponce, J.4
  • 266
    • 0033872313 scopus 로고    scopus 로고
    • Recognition without correspondence using multidimensional receptive field histograms
    • B. Schiele and J. L. Crowley. Recognition without correspondence using multidimensional receptive field histograms. International Journal of Computer Vision, 36(1): 31-50, 2000.
    • (2000) International Journal of Computer Vision , vol.36 , Issue.1 , pp. 31-50
    • Schiele, B.1    Crowley, J.L.2
  • 268
    • 0002629103 scopus 로고    scopus 로고
    • Matching color uncalibrated images using differential invariants
    • P. Montesinos, V. Gouet, R. Deriche, and D. Pele. Matching color uncalibrated images using differential invariants. Image and Vision Computing, 18(9): 659-671, 2000.
    • (2000) Image and Vision Computing , vol.18 , Issue.9 , pp. 659-671
    • Montesinos, P.1    Gouet, V.2    Deriche, R.3    Pele, D.4
  • 276
    • 0031164879 scopus 로고    scopus 로고
    • Shape-adapted smoothing in estimation of 3d shape cues from affine deformations of local 2d brightness structure
    • T. Lindeberg and J. Garding. Shape-adapted smoothing in estimation of 3d shape cues from affine deformations of local 2d brightness structure. Image and Vision Computing, 15(6): 415-434, 1997.
    • (1997) Image and Vision Computing , vol.15 , Issue.6 , pp. 415-434
    • Lindeberg, T.1    Garding, J.2
  • 278
    • 9644266715 scopus 로고    scopus 로고
    • Matching widely separated views based on affine invariant regions
    • T. Tuytelaars and L. Van Gool. Matching widely separated views based on affine invariant regions. International Journal of Computer Vision, 59(1): 61-85, 2004.
    • (2004) International Journal of Computer Vision , vol.59 , Issue.1 , pp. 61-85
    • Tuytelaars, T.1    Van Gool, L.2
  • 284
    • 0030081076 scopus 로고    scopus 로고
    • Direct computation of shape cues using scaleadapted spatial derivative operators
    • J. G̊arding and T. Lindeberg. Direct computation of shape cues using scaleadapted spatial derivative operators. International Journal of Computer Vision, 17(2): 163-191, 1996.
    • (1996) International Journal of Computer Vision , vol.17 , Issue.2 , pp. 163-191
    • G̊arding, J.1    Lindeberg, T.2
  • 285
    • 8644258401 scopus 로고    scopus 로고
    • A statistical approach to texture classification from single images
    • M. Varma and A. Zisserman. A statistical approach to texture classification from single images. International Journal of Computer Vision, 62(1-2): 61-81, 2005.
    • (2005) International Journal of Computer Vision , vol.62 , Issue.1-2 , pp. 61-81
    • Varma, M.1    Zisserman, A.2
  • 286
    • 0019522390 scopus 로고
    • Textons, the elements of texture perception, and their interactions
    • B. Julesz. Textons, the elements of texture perception, and their interactions. Nature, 290: 91-97, 1981.
    • (1981) Nature , vol.290 , pp. 91-97
    • Julesz, B.1
  • 290
    • 0032206629 scopus 로고    scopus 로고
    • Modeling and classifying symmetries using a multiscale opponent color representation
    • B. Thai and G. Healey. Modeling and classifying symmetries using a multiscale opponent color representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11): 1224-1235, 1998.
    • (1998) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.20 , Issue.11 , pp. 1224-1235
    • Thai, B.1    Healey, G.2
  • 292
    • 0026398342 scopus 로고
    • Unsupervised texture segmentation using gabor filters
    • A. K. Jain and F. Farrokhnia. Unsupervised texture segmentation using gabor filters. Pattern Recognition, 24(12): 1167-1186, 1991.
    • (1991) Pattern Recognition , vol.24 , Issue.12 , pp. 1167-1186
    • Jain, A.K.1    Farrokhnia, F.2
  • 293
    • 0030410515 scopus 로고    scopus 로고
    • Efficient gabor-filter design for texture segmentation
    • T. Weldon, W. E. Higgins, and D. F. Dunn. Efficient gabor-filter design for texture segmentation. Pattern Recognition, 29(12): 2005-2016, 1996.
    • (1996) Pattern Recognition , vol.29 , Issue.12 , pp. 2005-2016
    • Weldon, T.1    Higgins, W.E.2    Dunn, D.F.3
  • 295
    • 0033896326 scopus 로고    scopus 로고
    • Detection of moving objects in video using a robust motion similarity measure
    • H. T. Nguyen, M. Worring, and A. Dev. Detection of moving objects in video using a robust motion similarity measure. IEEE Transactions on Image Processing, 9(1): 137-141, 2000.
    • (2000) IEEE Transactions on Image Processing , vol.9 , Issue.1 , pp. 137-141
    • Nguyen, H.T.1    Worring, M.2    Dev, A.3
  • 297
    • 57349095405 scopus 로고    scopus 로고
    • Material-specific adaptation of color invariant features
    • G. J. Burghouts and J-M. Geusebroek. Material-specific adaptation of color invariant features. Pattern Recognition Letters, 30: 306-313, 2009.
    • (2009) Pattern Recognition Letters , vol.30 , pp. 306-313
    • Burghouts, G.J.1    Geusebroek, J.-M.2
  • 298
    • 0035358496 scopus 로고    scopus 로고
    • Representing and recognizing the visual appearance of materials using three-dimensional textons
    • T. Leung and J. Malik. Representing and recognizing the visual appearance of materials using three-dimensional textons. International Journal of Computer Vision, 43(1): 29-44, 2001.
    • (2001) International Journal of Computer Vision , vol.43 , Issue.1 , pp. 29-44
    • Leung, T.1    Malik, J.2
  • 300
    • 33846580425 scopus 로고    scopus 로고
    • Local features and kernels for classification of texture and object categories: a comprehensive study
    • J. Zhang, M. Marsza, S. Lazebnik, and C. Schmid. Local features and kernels for classification of texture and object categories: a comprehensive study. International Journal of Computer Vision, 73(2): 213-238, 2007.
    • (2007) International Journal of Computer Vision , vol.73 , Issue.2 , pp. 213-238
    • Zhang, J.1    Marsza, M.2    Lazebnik, S.3    Schmid, C.4
  • 303
  • 306
    • 43249093335 scopus 로고    scopus 로고
    • Image retrieval: ideas, influences, and trends of the new age
    • R. Datta, D. Joshi, J. Li, and J. Z. Wang. Image retrieval: ideas, influences, and trends of the new age. ACM Computing Surveys, 40(2): 1-60, 2008.
    • (2008) ACM Computing Surveys , vol.40 , Issue.2 , pp. 1-60
    • Datta, R.1    Joshi, D.2    Li, J.3    Wang, J.Z.4
  • 315
    • 3142736062 scopus 로고    scopus 로고
    • Robust wide-baseline stereo from maximally stable extremal regions
    • J. Matas, O. Chum, M. Urban, and T. Pajdla. Robust wide-baseline stereo from maximally stable extremal regions. Image and Vision Computing, 22(10): 761-767, 2004.
    • (2004) Image and Vision Computing , vol.22 , Issue.10 , pp. 761-767
    • Matas, J.1    Chum, O.2    Urban, M.3    Pajdla, T.4
  • 318
    • 24644437018 scopus 로고    scopus 로고
    • Interleaved object categorization and segmentation
    • B. Leibe and B. Schiele. Interleaved object categorization and segmentation. In British Machine Vision Conference, pages 759-768, 2003.
    • (2003) British Machine Vision Conference , pp. 759-768
    • Leibe, B.1    Schiele, B.2
  • 321
    • 0002344794 scopus 로고
    • Bootstrap methods: another look at the jackknife
    • B. Efron. Bootstrap methods: another look at the jackknife. Annals of Statistics, 7: 1-26, 1979.
    • (1979) Annals of Statistics , vol.7 , pp. 1-26
    • Efron, B.1
  • 328
    • 24144462373 scopus 로고    scopus 로고
    • Coordinating perceptually grounded categories through language: a case study for colour
    • L. Steels and T. Belpaeme. Coordinating perceptually grounded categories through language: a case study for colour. Behavioral and Brain Sciences, 28: 469-529, 2005.
    • (2005) Behavioral and Brain Sciences , vol.28 , pp. 469-529
    • Steels, L.1    Belpaeme, T.2
  • 333
    • 0034277169 scopus 로고    scopus 로고
    • Color categories are not universal: replications and new evidence from a stone-age culture
    • D. Roberson, I. Davies, and J. Davidoff. Color categories are not universal: replications and new evidence from a stone-age culture. Journal of Experimental Psychology-General, 129(3): 369-398, 2000.
    • (2000) Journal of Experimental Psychology-General , vol.129 , Issue.3 , pp. 369-398
    • Roberson, D.1    Davies, I.2    Davidoff, J.3
  • 334
    • 18444412559 scopus 로고    scopus 로고
    • Color categories: Evidence for the cultural relativity hypothesis
    • D. Roberson, J. Davidoff, I. R. L. Davies, and L. R. Shapiro. Color categories: Evidence for the cultural relativity hypothesis. Cognitive Psychology, 50(4): 378-411, 2005.
    • (2005) Cognitive Psychology , vol.50 , Issue.4 , pp. 378-411
    • Roberson, D.1    Davidoff, J.2    Davies, I.R.L.3    Shapiro, L.R.4
  • 336
    • 70349170106 scopus 로고    scopus 로고
    • Language, thought, and color: whorf was half right
    • T. Regier and P. Kay. Language, thought, and color: whorf was half right. Trends in Cognitive Sciences, 13(10): 439-446, 2009.
    • (2009) Trends in Cognitive Sciences , vol.13 , Issue.10 , pp. 439-446
    • Regier, T.1    Kay, P.2
  • 338
    • 33750094100 scopus 로고    scopus 로고
    • Color naming, unique hues, and hue cancellation predicted from singularities in reflection properties
    • D. L. Philipona and J. K. O'Regan. Color naming, unique hues, and hue cancellation predicted from singularities in reflection properties. Visual Neuroscience, 23(3-4): 331-339, 2006.
    • (2006) Visual Neuroscience , vol.23 , Issue.3-4 , pp. 331-339
    • Philipona, D.L.1    O'Regan, J.K.2
  • 340
    • 0001220766 scopus 로고
    • The linguistic significance of the meanings of basic color terms
    • P. Kay and C. K. McDaniel. The linguistic significance of the meanings of basic color terms. Language, 3(54): 610-646, 1978.
    • (1978) Language , vol.3 , Issue.54 , pp. 610-646
    • Kay, P.1    McDaniel, C.K.2
  • 344
    • 4444361638 scopus 로고    scopus 로고
    • Estimation of fuzzy sets for computational colour categorization
    • R. Benavente, M. Vanrell, and R. Baldrich. Estimation of fuzzy sets for computational colour categorization. Color Research and Application, 29(5): 342-353, 2004.
    • (2004) Color Research and Application , vol.29 , Issue.5 , pp. 342-353
    • Benavente, R.1    Vanrell, M.2    Baldrich, R.3
  • 346
    • 84886359124 scopus 로고
    • Homogeneous Cartesian Coordinates. Linear Dependence of Points and Lines
    • Macmillan, New York, Chapter 3
    • W. C. Graustein. Homogeneous Cartesian Coordinates. Linear Dependence of Points and Lines. Introduction to Higher Geometry, pages 29-49. Macmillan, New York, 1930, Chapter 3.
    • (1930) Introduction to Higher Geometry , pp. 29-49
    • Graustein, W.C.1
  • 347
    • 6444222261 scopus 로고    scopus 로고
    • Fuzzy colour category map for the measurement of colour similarity and dissimilarity
    • N. Seaborn, L. Hepplewhite, and J. Stonham. Fuzzy colour category map for the measurement of colour similarity and dissimilarity. Pattern Recognition, 38(1): 165-177, 2005.
    • (2005) Pattern Recognition , vol.38 , Issue.1 , pp. 165-177
    • Seaborn, N.1    Hepplewhite, L.2    Stonham, J.3
  • 348
    • 0003767210 scopus 로고
    • Munsell Color Company, Inc. Munsell Color Company, Baltimore (MD)
    • Munsell Color Company, Inc. Munsell Book of Color-Matte Finish Collection. Munsell Color Company, Baltimore (MD), 1976.
    • (1976) Munsell Book of Color-Matte Finish Collection
  • 351
    • 0032251894 scopus 로고    scopus 로고
    • Convergence properties of the Nelder-Mead simplex method in low dimensions
    • J. C. Lagarias, J. A. Reeds, M. H. Wright, and P. E. Wright. Convergence properties of the Nelder-Mead simplex method in low dimensions. SIAM Journal of Optimization, 9(1): 112-147, 1998.
    • (1998) SIAM Journal of Optimization , vol.9 , Issue.1 , pp. 112-147
    • Lagarias, J.C.1    Reeds, J.A.2    Wright, M.H.3    Wright, P.E.4
  • 353
    • 33747146807 scopus 로고    scopus 로고
    • Optimality of the basic colour categories for classification
    • L. D. Griffin. Optimality of the basic colour categories for classification. Journal of the Royal Society Interface, 3(6): 71-85, 2006.
    • (2006) Journal of the Royal Society Interface , vol.3 , Issue.6 , pp. 71-85
    • Griffin, L.D.1
  • 355
    • 18844405673 scopus 로고    scopus 로고
    • A computational model for color naming and describing color composition of images
    • A. Mojsilovic. A computational model for color naming and describing color composition of images. IEEE Transactions on Image Processing, 14(5): 690-699, 2005.
    • (2005) IEEE Transactions on Image Processing , vol.14 , Issue.5 , pp. 690-699
    • Mojsilovic, A.1
  • 359
    • 0027576716 scopus 로고
    • Morphological grayscale reconstruction in image analysis: applications and efficient algorithms
    • L. Vincent. Morphological grayscale reconstruction in image analysis: applications and efficient algorithms. IEEE Transactions on Image Processing, 2(2): 176-201, 1993.
    • (1993) IEEE Transactions on Image Processing , vol.2 , Issue.2 , pp. 176-201
    • Vincent, L.1
  • 361
    • 0010095125 scopus 로고
    • From brightness to hue: An explanatory model of color-category evolution
    • R. E. MacLaury. From brightness to hue: An explanatory model of color-category evolution. Current Anthropology, 33: 137-186, 1992.
    • (1992) Current Anthropology , vol.33 , pp. 137-186
    • MacLaury, R.E.1
  • 364
    • 78449239566 scopus 로고    scopus 로고
    • Toward a unified chromatic induction model
    • X Otazu, C. A Ṕarraga, and M Vanrell. Toward a unified chromatic induction model. Journal of Vision, 10(12)(6), 2010.
    • (2010) Journal of Vision , vol.10 , Issue.12 , pp. 6
    • Otazu, X.1    Ṕarraga, C.A.2    Vanrell, M.3
  • 365
    • 0023449536 scopus 로고
    • Component analysis of spatial and spectral patterns in multispectral images
    • S. Kawata, K. Sasaki, and S. Minami. Component analysis of spatial and spectral patterns in multispectral images. Journal of the Optical Society of America A, 4: 2101-2106, 1987.
    • (1987) Journal of the Optical Society of America A , vol.4 , pp. 2101-2106
    • Kawata, S.1    Sasaki, K.2    Minami, S.3
  • 366
    • 0038175998 scopus 로고    scopus 로고
    • Robust photometric invariant segmentation of multispectral images
    • H. M. G. Stokman and Th. Gevers. Robust photometric invariant segmentation of multispectral images. International Journal of Computer Vision, 53(2): 135-151, 2003.
    • (2003) International Journal of Computer Vision , vol.53 , Issue.2 , pp. 135-151
    • Stokman, H.M.G.1    Gevers, T.2
  • 368
    • 0017010058 scopus 로고
    • Clustering techniques: the user's dilemma
    • R. Dubes and A. K. Jain. Clustering techniques: the user's dilemma. Pattern Recognition, 8: 247-260, 1976.
    • (1976) Pattern Recognition , vol.8 , pp. 247-260
    • Dubes, R.1    Jain, A.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.