Hierarchy and adaptivity in segmenting visual scenes

Nature

Volumn 442, Issue 7104, 2006, Pages 810-813

  Sharon, Eitan ^a   Galun, Meirav ^a   Sharon, Dahlia ^b   Basri, Ronen ^a   Brandt, Achi ^a  

^a WEIZMANN INSTITUTE OF SCIENCE   (Israel)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; ALGEBRA; ALGORITHMS; LINEAR SYSTEMS; OBJECT RECOGNITION; ROBUSTNESS (CONTROL SYSTEMS);

ADAPTIVITY; ALGEBRAIC MULTIGRID SOLVERS; MULTIGRID SOLVERS; VISUAL SCENES;

IMAGE PROCESSING;

ADAPTATION; AGGREGATION; HIERARCHICAL SYSTEM; IMAGE ANALYSIS; SEGMENTATION;

ALGORITHM; ARTICLE; COMPUTER; IMAGING SYSTEM; MATHEMATICAL COMPUTING; PRIORITY JOURNAL;

EID: 33747472134     PISSN: 00280836     EISSN: 14764687     Source Type: Journal    
DOI: 10.1038/nature04977     Document Type: Article

References (17)

1. Felleman, D. J. & Van Essen, D. C. Distributed hierarchical processing in the primate cerebral cortex. Cereb. Cortex 1, 1-47 (1991).
2. Pietikainen, M., Rosenfeld, A. & Walter, I. Split-and-link algorithms for image segmentation. Patt. Recog. 15, 287-298 (1982).
3. Comanicu, D. & Meer, P. Mean shift: A robust approach toward feature space analysis. IEEE Trans. Patt. Anal. Machine Intell. 24, 603-619 (2002).
4. Malik, J., Belongie, S., Leung, T. & Shi, J. Contour and texture analysis for image segmentation. Int. J. Comp. Vision 43, 7-27 (2001).
5. Felzenszwalb, P. & Huttenlocher, D. Efficient graph-based image segmentation. Int. J. Comput. Vision 59, 167-181 (2004).
6. Brandt, A. Algebraic multigrid theory: the symmetric case. Appl. Math. Comput. 19, 23-56 (1986).
7. Sharon, E., Brandt, A. & Basri, R. Fast multiscale image segmentation. Proc. IEEE Conf. Comput. Vision Patt. Recog. 1, 70-77 (2000).
8. Hubel, D. H. & Wiesel, T. N. Receptive fields and functional architecture of monkey striate cortex. J. Physiol. 195, 215-243 (1968).
9. Tanaka, K. Inferotemporal cortex and object vision. Annu. Rev. Neurosci. 19, 109-139 (1996).
10. Shi, J. & Malik, J. Normalized cuts and image segmentation. IEEE Trans. Patt. Anal. Machine Intell. 22, 888-905 (2000).
11. Golub, G. H. & Van Loan, C. F. Matrix Computations (Johns Hopkins Univ. Press, Baltimore, 1989).
12. Brandt, A., McCormick, S. & Ruge, J. In Sparsity and its Applications (ed. Evans, D. J.) 257-284 (Cambridge Univ. Press, Cambridge, 1984).
13. Galun, M., Sharon, E., Basri, R. & Brandt, A. Texture segmentation by multiscale aggregation of filter responses and shape elements. Proc. Int. Conf. Comput. Vision 1, 469-476 (2003).
14. Julesz, B. Textons, the elements of texture perception, and their interactions. Nature 290, 91-97 (1981).
15. Voorhees, H. & Poggio, T. Computing texture boundaries from images. Nature 333, 364-367 (1988).
16. Sharon, E., Brandt, A. & Basri, R. Segmentation and boundary detection using multiscale intensity measurements. Proc. IEEE Conf. Comput. Vision Patt. Recog. 1, 469-476 (2001).
17. Stanley, D. A. & Rubin, N. fMRI activation in response to illusory contours and salient regions in the human lateral occipital complex. Neuron 37, 323-331 (2003).