The University of Southampton
University of Southampton Institutional Repository

A New Hough Transform Mapping for 3D Imaging via Coloured Spots

A New Hough Transform Mapping for 3D Imaging via Coloured Spots
A New Hough Transform Mapping for 3D Imaging via Coloured Spots
Three dimensional (3D) mouth shape extraction is vital to enhance models of speech production, since lip movement is important in speech production and perception. Many techniques have been developed for 3D surface shape sensing, but are restricted to static or slowly moving objects. Video-rate triangulation based structured light systems enable 3D surface data acquisition for dynamic scenes. The surface depth information is calculated from a single image of the scene illuminated by a single projected pattern. Colour encoded stripes and encoded square binary pattern elements have previously formed the basis of the projected patterns. In a new structured light system, the projected pattern is an array of colour encoded circular spots. These spots are deformed by the underlying surface, both in position and shape, and are perceived as ellipses. This enables both the surface position and the surface orientation to be captured simultaneously from each imaged spot. Using smooth-shape pattern elements avoids the inherent potential error of other systems in the presence of surface step edges. Feature extraction is made more efficient by a-priori knowledge. In the new 3D sensing system the centre position of each imaged spot is constrained to lie on an epipolar line, constrained by the working volume of the system. The imaged shape of each spot depends on the orientation of the illuminated surface. These constraints enable the formulation of a Hough Transform (HT) to extract directly the position and orientation of the surface in the scene via the imaged spots. The HT has an accumulator space of only three parameters, these describe the 3D surface's position and orientation. Results verify the new formulation of the HT and demonstrate how this new structured light system can be used to recover 3D surface shape.
s.n.
Davies, C.J.
23c6e334-5cd5-4c49-b757-f8c4498dddf8
Nixon, M.S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, J.N.
e05be2f9-991d-4476-bb50-ae91606389da
Davies, C.J.
23c6e334-5cd5-4c49-b757-f8c4498dddf8
Nixon, M.S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, J.N.
e05be2f9-991d-4476-bb50-ae91606389da

Davies, C.J., Nixon, M.S. and Carter, J.N. (1995) A New Hough Transform Mapping for 3D Imaging via Coloured Spots s.n.

Record type: Monograph (Project Report)

Abstract

Three dimensional (3D) mouth shape extraction is vital to enhance models of speech production, since lip movement is important in speech production and perception. Many techniques have been developed for 3D surface shape sensing, but are restricted to static or slowly moving objects. Video-rate triangulation based structured light systems enable 3D surface data acquisition for dynamic scenes. The surface depth information is calculated from a single image of the scene illuminated by a single projected pattern. Colour encoded stripes and encoded square binary pattern elements have previously formed the basis of the projected patterns. In a new structured light system, the projected pattern is an array of colour encoded circular spots. These spots are deformed by the underlying surface, both in position and shape, and are perceived as ellipses. This enables both the surface position and the surface orientation to be captured simultaneously from each imaged spot. Using smooth-shape pattern elements avoids the inherent potential error of other systems in the presence of surface step edges. Feature extraction is made more efficient by a-priori knowledge. In the new 3D sensing system the centre position of each imaged spot is constrained to lie on an epipolar line, constrained by the working volume of the system. The imaged shape of each spot depends on the orientation of the illuminated surface. These constraints enable the formulation of a Hough Transform (HT) to extract directly the position and orientation of the surface in the scene via the imaged spots. The HT has an accumulator space of only three parameters, these describe the 3D surface's position and orientation. Results verify the new formulation of the HT and demonstrate how this new structured light system can be used to recover 3D surface shape.

Full text not available from this repository.

More information

Published date: 1995
Additional Information: 1995/6 Research Journal Address: Department of Electronics and Computer Science
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250104
URI: http://eprints.soton.ac.uk/id/eprint/250104
PURE UUID: bb34569a-672a-4c00-920c-79734536db6a

Catalogue record

Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:44

Export record

Contributors

Author: C.J. Davies
Author: M.S. Nixon
Author: J.N. Carter

University divisions

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.

×