DocumentCode :
2299301
Title :
Fragment grouping via the principle of perceptual occlusion
Author :
August, Jonas ; Siddiqi, Kaleem ; Zucker, Steven W.
Author_Institution :
Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada
Volume :
1
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
3
Abstract :
Bounding contours of physical objects are often fragmented by other occluding objects. Long-distance perceptual grouping seeks to join fragments belonging to the same object. Approaches to grouping based on invariants assume objects are in restricted classes, while those based on minimal energy continuations assume a shape for the missing contours and require this shape to drive the grouping process. We propose the more general principle that those fragments should be grouped whose fragmentation could have arisen from a generic occluder. The gap skeleton is introduced as a representation of this virtual occluder, and an algorithm for computing it is given
Keywords :
computer vision; edge detection; image segmentation; object recognition; computer vision; fragment grouping; gap skeleton; generic occlusion; perceptual grouping; perceptual occlusion; Computer vision; Joining IEEE; Joining processes; Shape; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.545981
Filename :
545981
Link To Document :
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