A probabilistic multi-scale model for contour completion based on image statistics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2350, Issue , 2002, Pages 312-327

  Ren, Xiaofeng ^a   Malik, Jitendra ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV PROCESSES; TEXTURES;

BOUNDARY CONTOURS; CONTOUR COMPLETION; IMAGE MEASUREMENTS; LOCAL LIKELIHOOD; MEASUREMENT MODEL; MULTI-SCALE MODELING; MULTISCALE ALGORITHMS; SEGMENTED IMAGES;

COMPUTER VISION;

EID: 84944390267     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47969-4_21     Document Type: Conference Paper

References (22)

1. S. Belongie and J. Malik. Finding boundaries in natural images:Anewmethod using point descriptors and area completion. In Proc. 5th Euro. Conf. Computer Vision, Freiburg, Germany, June 1998.
2. J.H. Elder and S.W. Zucker. Computing contour closures. In Proc. Euro. Conf. Computer Vision, volume 1, pages 399-412, Cambridge, England, Apr 1996.
3. W. S. Geisler, J. S. Perry, B. J. Super, and D. P. Gallogly. Edge co-occurrence in natural images predicts contour grouping performance. Vision Research, 41:711-724, 2001.
4. S. Geman and D. Geman. Stochastic relaxation, gibbs distribution, and the bayesian retoration of images. IEEE Trans. Pattern Analysis and Machine Intelligence, 6:721-41, Nov. 1984.
5. G. Guy and G. Medioni. Inferring global perceptual contours from local features. Int’l. Journal of Computer Vision, 20(1-2):113-33, Oct. 1996.
6. F. Heitger and R. von der Heydt. A computational model of neural contour processing. In Proc. Int. Conf. Computer Vision, pages 32-40, Berlin, Germany, May 1993.
7. J. Huang and D. Mumford. Statistics of natural images and models. In Proc. IEEE Conf. Comput. Vision and Pattern Recognition, pages I:541-547, 1999.
8. S. Konishi, A.L. Yuille, J.M. Coughlan, and S.C. Zhu. Fundamental bounds on edge detection: An information theoretic evaluation of different edge cues. pages I:573-579, 1999.
9. T. Leung and J. Malik. Contour continuity in region-based image segmentation. In H. Burkhardt and B. Neumann, editors, Proc. Euro. Conf. Computer Vision, volume 1, pages 544-59, Freiburg, Germany, June 1998. Springer-Verlag.
10. J. Malik, S. Belongie, T. Leung, and J. Shi. Contour and texture analysis for image segmentation. Int’l. Journal of Computer Vision, 43(1):7-27, June 2001.
11. 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 Proc. 8th Int’l. Conf. Computer Vision, volume 2, pages 416-423, July 2001.
12. M.C. Morrone and R.A. Owens. Feature detection from local energy. Pattern Recognition Letters, 6:303-13, 1987.
13. D. Mumford. Elastica and computer vision. In Chandrajit Bajaj, editor, Algebraic Geometry and Its Applications, pages 491-506. Springer Verlag, 1994.
14. P. Parent and S.W. Zucker. Trace inference, curvature consistency, and curve detection. IEEE Trans. Pattern Analysis and Machine Intelligence, 11(8):823-39, Aug. 1989.
15. P. Perona and J. Malik. Boundary detection using quadratic filters: Performance criteria and experimental assessment. In SPIE, 1708.
16. P. Perona and J. Malik. Detecting and localizing edges composed of steps, peaks and roofs. In Proc. Int. Conf. Computer Vision, pages 52-7, Osaka, Japan, Dec 1990.
17. L. Rosenthaler, F. Heitger, O. Kubler, and R. von der Heydt. Detection of general edges and key-points. In Proc. 2nd Europ. Conf. Comput. Vision, G. Sandini (Ed.), LNCS-Series Vol. 588, Springer-Verlag, pages 78-86, 1992.
18. E. Sharon, A. Brandt, and R. Basri. Completion energies and scale. IEEE Trans. Pattern Analysis and Machine Intelligence, 22(10):1117-1131, October 2000.
19. J. Shi and J. Malik. Normalized cuts and image segmentation. In Proc. IEEE Conf. Computer Vision and Pattern Recognition, pages 731-7, San Juan, Puerto Rico, June 1997.
20. L. Williams, J. Zweck, T. Wang, and K. Thornber. Computing stochastic completion fields in linear-time using a resolution pyramid. CVIU, 76(3):289-297, December 1999.
21. L.R. Williams and D.W. Jacobs. Stochastic completion fields: a neural model of illusory contour shape and salience. In Proc. 5th Int. Conf. Computer Vision, pages 408-15, Cambridge, MA, June 1995.
22. S.C. Zhu. Embedding gestalt laws in markov random fields. IEEE Trans. Pattern Analysis and Machine Intelligence, 21(11):1170-1187, November 1999.