The University of Southampton
University of Southampton Institutional Repository

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
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
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), 90-95. (doi:10.1109/3477.658582).

Record type: Article

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.

This record has no associated files available for download.

More information

Published date: February 1998
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 253956
URI: http://eprints.soton.ac.uk/id/eprint/253956
PURE UUID: 547c332a-aa7c-4736-9fd8-0313224bb5e2
ORCID for M.S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 27 Sep 2000
Last modified: 15 Mar 2024 02:34

Export record

Altmetrics

Contributors

Author: C.J. Davies
Author: M.S. Nixon ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×