DocumentCode :
1305723
Title :
A Hough transform for detecting the location and orientation of three-dimensional surfaces via color encoded spots
Author :
Davies, Colin J. ; Nixon, Mark S.
Author_Institution :
NDS Ltd., Chilworth, UK
Volume :
28
Issue :
1
fYear :
1998
fDate :
2/1/1998 12:00:00 AM
Firstpage :
90
Lastpage :
95
Abstract :
Video-rate three-dimensional (3-D) acquisition is desirable, in particular for capturing the mouth´s shape when modeling the vocal tract. In a new structured light technique, scenes are illuminated by an array of circular spots which are color encoded to resolve spatial ambiguity. The position and shape of the imaged spots depend on the location and orientation of the illuminated 3-D surface. We present a novel 3-D Hough transform (HT) to detect 3-D surface location and orientation via the imaged spots, with voting constraints applied to maximize potential accuracy. This new technique is demonstrated to successfully extract the 3-D data for a moving face from images acquired at video-rate
Keywords :
Hough transforms; image recognition; knowledge acquisition; Hough transform; color encoded spots; orientation; spatial ambiguity; surface location; three-dimensional acquisition; Data mining; Face detection; Geometry; Layout; Optical arrays; Shape; Spatial resolution; Speech enhancement; Surface reconstruction; Voting;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4419
Type :
jour
DOI :
10.1109/3477.658582
Filename :
658582
Link To Document :
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