A Hough transform for detecting the location and orientation of three-dimensional surfaces via color encoded spots
A Hough transform for detecting the location and orientation of three-dimensional surfaces via color encoded spots
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.
90-95
Davies, C.J.
394f7658-b87d-407d-9e5f-68285c80a986
Nixon, M.S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
February 1998
Davies, C.J.
394f7658-b87d-407d-9e5f-68285c80a986
Nixon, M.S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Davies, C.J. and Nixon, M.S.
(1998)
A Hough transform for detecting the location and orientation of three-dimensional surfaces via color encoded spots.
IEEE Transactions on Systems, Man, and Cybernetics, 28 (1), .
(doi:10.1109/3477.658582).
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.
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Published date: February 1998
Organisations:
Southampton Wireless Group
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Local EPrints ID: 253956
URI: http://eprints.soton.ac.uk/id/eprint/253956
PURE UUID: 547c332a-aa7c-4736-9fd8-0313224bb5e2
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Date deposited: 27 Sep 2000
Last modified: 15 Mar 2024 02:34
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Author:
C.J. Davies
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