F. Chapeau-Blondeau, J. Chauveau, D. Rousseau, and P. Richard, “Fractal structure in the color distribution of natural images,” Chaos Solitons Fractals 42, 472–482 (2009).

[CrossRef]

S. T. Roweis and L. K. Saul, “Nonlinear dimensionality reduction by locally linear embedding,” Science 290, 2323–2326 (2000).

[CrossRef]
[PubMed]

J. B. Tenenbaum, V. Silva, and J. C. Langford, “A global geometric framework for nonlinear dimensionality reduction,” Science 290, 2319–2323 (2000).

[CrossRef]
[PubMed]

D. Levin, “The approximation power of moving least-squares,” Math. Comput. 67, 1517–1531 (1998).

[CrossRef]

M. Oren and S. K. Nayar, “Generalization of the Lambertian model and implications for machine vision,” Int. J. Comput. Vis. 14, 227–251 (1995).

[CrossRef]

G. J. Klinker, S. A. Shafer, and T. Kanade, “A physical approach to color image understanding,” Int. J. Comput. Vis. 4, 7–38(1990).

[CrossRef]

S. A. Shafer, “Using color to separate reflection components,” Color Res. Appl. 10, 210–218 (1985).

[CrossRef]

W. S. Torgerson, “Multidimensional scaling: I. Theory and method,” Psychometrika 17, 401–419 (1952).

[CrossRef]

M. Belkin and P. Niyogi, “Laplacian eigenmaps and spectral techniques for embedding and clustering,” in Advances in Neural Information Processing Systems 14 (MIT Press), pp. 585–591.

F. Chapeau-Blondeau, J. Chauveau, D. Rousseau, and P. Richard, “Fractal structure in the color distribution of natural images,” Chaos Solitons Fractals 42, 472–482 (2009).

[CrossRef]

F. Chapeau-Blondeau, J. Chauveau, D. Rousseau, and P. Richard, “Fractal structure in the color distribution of natural images,” Chaos Solitons Fractals 42, 472–482 (2009).

[CrossRef]

X. Huo and J. Chen, “Local linear projection (LLP),” in Proceedings of the First Workshop on Genomic Signal Processing and Statistics (IEEE, 2002).

J. Digne, J. M. Morel, C. Mehdi-Souzani, and C. Lartigue, “Scale space meshing of raw data point sets,” preprint CMLA no. 2009-30, http://www.cmla.ens-cachan.fr/fileadmin/Documentation/Prepublications/2009/CMLA2009-30.pdf.

D. Martin, C. Fowlkes, D. Tal, and J. Malik, “A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,” in Proceedings of the 8th International Conference on Computer Vision (IEEE, 2002), pp. 416–423.

X. Huo and J. Chen, “Local linear projection (LLP),” in Proceedings of the First Workshop on Genomic Signal Processing and Statistics (IEEE, 2002).

G. J. Klinker, S. A. Shafer, and T. Kanade, “A physical approach to color image understanding,” Int. J. Comput. Vis. 4, 7–38(1990).

[CrossRef]

G. J. Klinker, S. A. Shafer, and T. Kanade, “A physical approach to color image understanding,” Int. J. Comput. Vis. 4, 7–38(1990).

[CrossRef]

J. B. Tenenbaum, V. Silva, and J. C. Langford, “A global geometric framework for nonlinear dimensionality reduction,” Science 290, 2319–2323 (2000).

[CrossRef]
[PubMed]

J. Digne, J. M. Morel, C. Mehdi-Souzani, and C. Lartigue, “Scale space meshing of raw data point sets,” preprint CMLA no. 2009-30, http://www.cmla.ens-cachan.fr/fileadmin/Documentation/Prepublications/2009/CMLA2009-30.pdf.

D. Levin, “The approximation power of moving least-squares,” Math. Comput. 67, 1517–1531 (1998).

[CrossRef]

D. Martin, C. Fowlkes, D. Tal, and J. Malik, “A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,” in Proceedings of the 8th International Conference on Computer Vision (IEEE, 2002), pp. 416–423.

D. Martin, C. Fowlkes, D. Tal, and J. Malik, “A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,” in Proceedings of the 8th International Conference on Computer Vision (IEEE, 2002), pp. 416–423.

J. Digne, J. M. Morel, C. Mehdi-Souzani, and C. Lartigue, “Scale space meshing of raw data point sets,” preprint CMLA no. 2009-30, http://www.cmla.ens-cachan.fr/fileadmin/Documentation/Prepublications/2009/CMLA2009-30.pdf.

J. Digne, J. M. Morel, C. Mehdi-Souzani, and C. Lartigue, “Scale space meshing of raw data point sets,” preprint CMLA no. 2009-30, http://www.cmla.ens-cachan.fr/fileadmin/Documentation/Prepublications/2009/CMLA2009-30.pdf.

M. Oren and S. K. Nayar, “Generalization of the Lambertian model and implications for machine vision,” Int. J. Comput. Vis. 14, 227–251 (1995).

[CrossRef]

M. Belkin and P. Niyogi, “Laplacian eigenmaps and spectral techniques for embedding and clustering,” in Advances in Neural Information Processing Systems 14 (MIT Press), pp. 585–591.

I. Omer and M. Werman, “Color lines: image specific color representation,” in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (IEEE, 2004) pp. 946–953 ().

M. Oren and S. K. Nayar, “Generalization of the Lambertian model and implications for machine vision,” Int. J. Comput. Vis. 14, 227–251 (1995).

[CrossRef]

F. Chapeau-Blondeau, J. Chauveau, D. Rousseau, and P. Richard, “Fractal structure in the color distribution of natural images,” Chaos Solitons Fractals 42, 472–482 (2009).

[CrossRef]

F. Chapeau-Blondeau, J. Chauveau, D. Rousseau, and P. Richard, “Fractal structure in the color distribution of natural images,” Chaos Solitons Fractals 42, 472–482 (2009).

[CrossRef]

S. T. Roweis and L. K. Saul, “Nonlinear dimensionality reduction by locally linear embedding,” Science 290, 2323–2326 (2000).

[CrossRef]
[PubMed]

S. T. Roweis and L. K. Saul, “Nonlinear dimensionality reduction by locally linear embedding,” Science 290, 2323–2326 (2000).

[CrossRef]
[PubMed]

G. J. Klinker, S. A. Shafer, and T. Kanade, “A physical approach to color image understanding,” Int. J. Comput. Vis. 4, 7–38(1990).

[CrossRef]

S. A. Shafer, “Using color to separate reflection components,” Color Res. Appl. 10, 210–218 (1985).

[CrossRef]

J. B. Tenenbaum, V. Silva, and J. C. Langford, “A global geometric framework for nonlinear dimensionality reduction,” Science 290, 2319–2323 (2000).

[CrossRef]
[PubMed]

D. Martin, C. Fowlkes, D. Tal, and J. Malik, “A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,” in Proceedings of the 8th International Conference on Computer Vision (IEEE, 2002), pp. 416–423.

J. B. Tenenbaum, V. Silva, and J. C. Langford, “A global geometric framework for nonlinear dimensionality reduction,” Science 290, 2319–2323 (2000).

[CrossRef]
[PubMed]

W. S. Torgerson, “Multidimensional scaling: I. Theory and method,” Psychometrika 17, 401–419 (1952).

[CrossRef]

I. Omer and M. Werman, “Color lines: image specific color representation,” in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (IEEE, 2004) pp. 946–953 ().

F. Chapeau-Blondeau, J. Chauveau, D. Rousseau, and P. Richard, “Fractal structure in the color distribution of natural images,” Chaos Solitons Fractals 42, 472–482 (2009).

[CrossRef]

S. A. Shafer, “Using color to separate reflection components,” Color Res. Appl. 10, 210–218 (1985).

[CrossRef]

G. J. Klinker, S. A. Shafer, and T. Kanade, “A physical approach to color image understanding,” Int. J. Comput. Vis. 4, 7–38(1990).

[CrossRef]

M. Oren and S. K. Nayar, “Generalization of the Lambertian model and implications for machine vision,” Int. J. Comput. Vis. 14, 227–251 (1995).

[CrossRef]

D. Levin, “The approximation power of moving least-squares,” Math. Comput. 67, 1517–1531 (1998).

[CrossRef]

W. S. Torgerson, “Multidimensional scaling: I. Theory and method,” Psychometrika 17, 401–419 (1952).

[CrossRef]

S. T. Roweis and L. K. Saul, “Nonlinear dimensionality reduction by locally linear embedding,” Science 290, 2323–2326 (2000).

[CrossRef]
[PubMed]

J. B. Tenenbaum, V. Silva, and J. C. Langford, “A global geometric framework for nonlinear dimensionality reduction,” Science 290, 2319–2323 (2000).

[CrossRef]
[PubMed]

Universite Paris Descartes, http://www.mi.parisdescartes.fr/~buades/recerca.html.

“Image color cube dimensional filtering and visualization,” http://www.ipol.im/pub/demo/blm_color_dimensional_filtering/.

I. Omer and M. Werman, “Color lines: image specific color representation,” in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (IEEE, 2004) pp. 946–953 ().

M. Belkin and P. Niyogi, “Laplacian eigenmaps and spectral techniques for embedding and clustering,” in Advances in Neural Information Processing Systems 14 (MIT Press), pp. 585–591.

J. Digne, J. M. Morel, C. Mehdi-Souzani, and C. Lartigue, “Scale space meshing of raw data point sets,” preprint CMLA no. 2009-30, http://www.cmla.ens-cachan.fr/fileadmin/Documentation/Prepublications/2009/CMLA2009-30.pdf.

X. Huo and J. Chen, “Local linear projection (LLP),” in Proceedings of the First Workshop on Genomic Signal Processing and Statistics (IEEE, 2002).

D. Martin, C. Fowlkes, D. Tal, and J. Malik, “A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,” in Proceedings of the 8th International Conference on Computer Vision (IEEE, 2002), pp. 416–423.