M. , L. Th, A. Gevers, J. Gijsenij, J. M. Van-de-weijer et al., Color Vision Derivative-based Photometric Invariance Color in Computer Vision Invariance by Learning Color Feature Detection Color Image Segmentation, Color in Computer Vision Color in Computer Vision Color in Computer Vision Th. Gevers, A. Gijsenij, J. van de Weijer, J.M. Geusebroek, Color in Computer Vision Th. Gevers, C.G.M. Snoek, Retrieval and Recognition of Digital Content Color in Computer Vision

J. Gijsenij, J. M. Van-de-weijer, and . Geusebroek, Color in Computer Vision, Wiley. REFERENCES 1. D. Alexander. Statistical Modelling of Colour Data and Model Selection for Region Tracking, 1997.

K. Barnard, L. Martin, B. Funt, and A. Coath, A data set for color research, Color Research & Application, vol.17, issue.3, pp.147-151, 2002.
DOI : 10.1002/col.10049

R. Benavente and M. Vanrell, Fuzzy colour naming based on sigmoid membership functions, Proceedings of the 2nd European Conference on Colour in Graphics, Imaging, and Vision, pp.135-139, 2004.

R. Benavente, M. Vanrell, and R. Baldrich, Estimation of fuzzy sets for computational colour categorization, Color Research & Application, vol.23, issue.5, pp.342-353, 2004.
DOI : 10.1002/col.20042

R. Benavente, M. Vanrell, and R. Baldrich, Parametric fuzzy sets for automatic color naming, Journal of the Optical Society of America A, vol.25, issue.10, pp.2582-2593, 2008.
DOI : 10.1364/JOSAA.25.002582

R. Benavente, M. Vanrell, and R. Bladrich, A data set for fuzzy colour naming. COLOR research and application, pp.48-56, 2006.

B. Berlin and P. Kay, Basic color terms: their universality and evolution, 1969.

D. Blei, A. Ng, and M. Jordan, Latent Dirichlet allocation, Journal of Machine Learning Research, vol.3, pp.993-1022, 2003.

R. M. Boynton and C. X. Olson, Locating basic colors in the OSA space, Color Research & Application, vol.120, issue.2, pp.94-105, 1987.
DOI : 10.1002/col.5080120209

D. M. Conway, An experimental comparison of three natural language colour naming models, Proc. east-west int. conf. on human-computer interaction, pp.328-339, 1992.

G. D. Finlayson, M. S. Drew, and B. Funt, Color constancy: generalized diagonal transforms suffice, Journal of the Optical Society of America A, vol.11, issue.11, pp.3011-3019, 1994.
DOI : 10.1364/JOSAA.11.003011

B. V. Funt and G. D. Finlayson, Color constant color indexing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.5, pp.522-529, 1995.
DOI : 10.1109/34.391390

. Th, A. W. Gevers, and . Smeulders, Color-based object recognition, Pattern Recognition, vol.32, pp.453-464, 1999.

. Th, H. M. Gevers, and . Stokman, Robust histogram construction from color invariants for object recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.1, pp.113-118, 2004.

W. C. Graustein, Homogeneous Cartesian Coordinates. Linear Dependence of Points and Lines Introduction to Higher Geometry, pp.29-49, 1930.

L. D. Griffin, Optimality of the basic colour categories for classification, Journal of The Royal Society Interface, vol.45, issue.4, pp.71-85, 2006.
DOI : 10.1037/0096-1523.19.4.899

T. Hofmann, Probabilistic latent semantic indexing, Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '99, pp.50-57, 1999.
DOI : 10.1145/312624.312649

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

P. Kay and C. K. Mcdaniel, The linguistic significance of the meanings of basic color terms, Language, vol.3, issue.54, pp.610-646, 1978.

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 on Optimization, vol.9, issue.1, pp.112-147, 1998.
DOI : 10.1137/S1052623496303470

R. L. Lagendijk and J. Biemond, Basic methods for image restoration and identification, The Image and Video Processing Handbook, pp.125-139, 1999.

J. M. Lammens, A computational model of color perception and color naming, 1994.

E. H. Land and J. J. Mccann, Lightness and Retinex Theory, Journal of the Optical Society of America, vol.61, issue.1, pp.1-11, 1971.
DOI : 10.1364/JOSA.61.000001

D. Larlus and F. Jurie, Latent Mixture Vocabularies for Object Categorization, Procedings of the British Machine Vision Conference 2006, 2006.
DOI : 10.5244/C.20.98

URL : https://hal.archives-ouvertes.fr/hal-00203721

R. E. Maclaury, From Brightness to Hue: An Explanatory Model of Color-Category Evolution [and Comments and Reply], Current Anthropology, vol.33, issue.2, pp.137-186, 1992.
DOI : 10.1086/204049

A. Maerz and M. R. Paul, A Dictionary of Color, 1930.

G. Menegaz, A. Le-troter, J. Sequeira, and J. M. Boi, A Discrete Model for Color Naming, EURASIP Journal on Advances in Signal Processing, vol.2007, issue.1, 2007.
DOI : 10.1016/j.visres.2005.01.033

A. Mojsilovic, A computational model for color naming and describing color composition of images, IEEE Transactions on Image Processing, vol.14, issue.5, pp.690-699, 2005.
DOI : 10.1109/TIP.2004.841201

S. K. Nayar and R. M. Bolle, Reflectance based object recognition, International Journal of Computer Vision, vol.57, issue.7, pp.219-240, 1996.
DOI : 10.1007/BF00128232

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

X. Otazu, C. Párraga, and M. Vanrell, Toward a unified chromatic induction model, Journal of Vision, vol.10, issue.12, 2010.
DOI : 10.1167/10.12.5

X. Otazu and M. Vanrell, Building perceived colour images, Proceedings of the 2nd European Conference on Colour in Graphics, Imaging, and Vision, pp.140-145, 2004.

D. L. Philipona and J. K. O-'regan, Color naming, unique hues, and hue cancellation predicted from singularities in reflection properties, Visual Neuroscience, vol.6, issue.3-4, pp.3-4331, 2006.
DOI : 10.1126/science.149.3688.1115

T. Regier and P. Kay, Language, thought, and color: Whorf was half right, Trends in Cognitive Sciences, vol.13, issue.10, pp.439-446, 2009.
DOI : 10.1016/j.tics.2009.07.001

T. Regier, P. Kay, and R. S. Cook, Focal colors are universal after all, Proceedings of the National Academy of Sciences, pp.8386-8391, 2005.
DOI : 10.1073/pnas.0503281102

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1149449

T. Regier, P. Kay, and R. S. Cook, Universal foci and varying boundaries in linguistic color categories, Proceedings of the 27th Meeting of the Cognitive Science Society, pp.1827-1832, 2005.

T. Regier, P. Kay, and N. Khetarpal, Color naming reflects optimal partitions of color space, Proceedings of the National Academy of Sciences, pp.1436-1441, 2007.
DOI : 10.1073/pnas.0610341104

D. Roberson, J. Davidoff, I. R. Davies, and L. R. Shapiro, Color categories: Evidence for the cultural relativity hypothesis, Cognitive Psychology, vol.50, issue.4, pp.378-411, 2005.
DOI : 10.1016/j.cogpsych.2004.10.001

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, vol.129, issue.3, pp.369-398, 2000.
DOI : 10.1037/0096-3445.129.3.369

N. Seaborn, L. Hepplewhite, and J. Stonham, Fuzzy colour category map for the measurement of colour similarity and dissimilarity, Pattern Recognition, vol.38, issue.2, pp.165-177, 2005.
DOI : 10.1016/S0031-3203(04)00184-0

L. Steels and T. Belpaeme, Coordinating perceptually grounded categories through language: A case study for colour, Behavioral and Brain Sciences, vol.28, issue.04, pp.469-529, 2005.
DOI : 10.1017/S0140525X05000087

J. Sturges and T. W. Whitfield, Locating basic colours in the munsell space, Color Research & Application, vol.14, issue.6, pp.364-376, 1995.
DOI : 10.1002/col.5080200605

M. Swain and D. Ballard, Color indexing, International Journal of Computer Vision, vol.31, issue.1, pp.11-32, 1991.
DOI : 10.1007/BF00130487

J. Van-de-weijer and C. Schmid, Blur robust and color constancy image description, IEEE International Conference on Image Processing, pp.993-996, 2006.

J. Van-de-weijer and C. Schmid, Coloring Local Feature Extraction, European Conference on Computer Vision, pp.334-348, 2006.
DOI : 10.1002/col.10049

URL : https://hal.archives-ouvertes.fr/inria-00548576

J. Van-de-weijer, C. Schmid, and J. Verbeek, Learning Color Names from Real-World Images, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383218

URL : https://hal.archives-ouvertes.fr/inria-00321127

C. Joost-van-de-weijer, J. Schmid, D. Verbeek, and . Larlus, Learning Color Names for Real-World Applications, IEEE Transactions on Image Processing, vol.18, issue.7, pp.1512-1524, 2009.
DOI : 10.1109/TIP.2009.2019809

L. Vincent, Morphological grayscale reconstruction in image analysis: applications and efficient algorithms, IEEE Transactions on Image Processing, vol.2, issue.2, pp.176-201, 1993.
DOI : 10.1109/83.217222

L. A. Zadeh, Fuzz sets, Information and control, vol.8, issue.3, 1965.