Quantitative analysis of grouping processes

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

Volumn 1064, Issue , 1996, Pages 371-384

  Amir, Arnon ^a   Lindenbaumv, Michael ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; MAXIMUM LIKELIHOOD; RELIABILITY ANALYSIS; STATISTICAL MECHANICS;

COMPUTATIONAL EFFORT; GEOMETRIC RELATIONS; GRAPH REPRESENTATION; GROUPING ALGORITHM; GROUPING PROCESS; MAXIMUM LIKELIHOOD CRITERIA; QUANTITATIVE APPROACH; STATISTICAL TOOLS;

QUALITY CONTROL;

EID: 84957591002     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0015551     Document Type: Conference Paper

References (12)

1. ADELSON, E. H., AND WANG, J. Y. A. Representing moving images with layers. Tech. Rep. 279, M.I.T, May 1994.
2. AMm, A., AND LINDENBAUM, M. The construction and analysis of a generic grouping algorithm. Tech. Rep. CIS-9418, Technion, Israel, Nov. 1994.
3. Guy, G., AND MEDIONI, G. Perceptual grouping using global saliency-enhancing operators. In IGPR-9P (1992), vol. 1, pp. 99-103.
4. HERAULT, L., AND HORAUD, R. Figure-ground discrimination: A combinatorial optimization approach. PAMI 15, 9 (Sep 1993), 899-914.
5. JACOBS, D. W., AND CHENNUBHOTLA, C. Finding structurally consistent motion correspondences. In ICPR-94, Jerusalem (1994), pp. 650-653.
6. LOWE, D. G. Perceptual Organization and Visual Recognition. Kluwer Academic Pub., 1985.
7. Sha’Ashua, A., AND ULLMAN, S. Grouping contours by iterated pairing network. Neural Information Processing Systems (NIPS) 3 (1990).
8. SHAPIRO, L. G., AND HARALICK, R. M. Decomposition oftwo-dimentional shapes by graph-theoretic clustering. PAMI 1, 1 (Jan. 1979), 10-20.
9. VOSSELMAN, G. Relational Matching, third ed. Lect. Notes in CS. Springer, 1992.
10. WALD, A. Sequencial Analysis, third ed. Wiley Publications in Statistics. 1947(1952).
11. Wu, Z., AND LEAHY, R. An optimal graph theoretic approach to data clustering: Theory and its application to image segmentation. PAMI 15, 11 (Nov 1993), 1001- 1113.
12. ZISSERMAN, A., MUNDY, J., FORSYTH, D., AND LIU, J. Class-based grouping in perspective images. In 1CCV-95, MIT (1995), pp. 183-188