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
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