DocumentCode :
759834
Title :
Computing occlusion-free viewpoints
Author :
Tarabanis, Konstantinos ; Tsai, Roger Y. ; Kaul, Anil
Author_Institution :
Manuf. Res., IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Volume :
18
Issue :
3
fYear :
1996
fDate :
3/1/1996 12:00:00 AM
Firstpage :
279
Lastpage :
292
Abstract :
This paper presents methods to compute the locus of all viewpoints from which features on known polyhedral objects can be viewed in their entirety without being occluded by anything in the environment. Convex and concave polyhedra with or without holes and the viewing model of perspective projection are employed in this work. Initially, properties of the occlusion-free and occluded loci of viewpoints are determined. Based on these properties, two methods to construct these loci together with their complexity analysis are presented. In the first method, a boundary representation of the occlusion-free locus is obtained. In the second method, the locus of occluded viewpoints is expressed in terms of a constructive solid geometry representation that consists of a union of component solids. Implementation results and comparison of the two methods are given
Keywords :
computational complexity; computational geometry; feature extraction; image representation; planning (artificial intelligence); robot vision; solid modelling; visibility; boundary representation; complexity analysis; concave polyhedra; convex polyhedra; occlusion-free locus; occlusion-free viewpoints; polyhedral objects; solid geometry representation; viewpoint planning; visibility occlusion; Cameras; Computer vision; Geometry; Machine vision; Optical control; Optical sensors; Robot sensing systems; Robot vision systems; Sensor phenomena and characterization; Solids;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.485556
Filename :
485556
Link To Document :
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