3D REGISTRATION AND MODELLING FOR FACE RECOGNITION

Li Bai; Yi Song

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Paper

3D REGISTRATION AND MODELLING FOR FACE RECOGNITION

Topics: Face and Gesture Recognition; Localization and Recognition of 3D Object Features

In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 201-208, 2006 , Setúbal, Portugal

Authors: Li Bai and Yi Song

Affiliation: School of Computer Science and Information Technology, University of Nottingham, United Kingdom

Keyword(s): Registration, modelling, surface reconstruction, recognition.

Abstract: AbstractThis paper presents a new approach to automatic 3D face recognition using a model-based approach. This work uses real 3D dense point cloud data acquired with a stereo face scanner. Since the point clouds are in varied orientations, by applying a non-iterative registration technique, we automatically transform each point cloud to a canonical position and detect facial features used for defining the frontal part of face which is to be modelled in next step. Unlike the iterative ICP algorithm, our non-iterative registration process is scale invariant. An efficient B-spline surface-fitting technique is developed to represent 3D faces in a way that allows efficient surface comparison. This is based on a novel knot vector standardisation algorithm to allow one-to-one mapping from the object space to a parameter space. Consequently, correspondence between objects is established based on shape descriptors, which can be used for recognition.

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Paper citation in several formats:

Bai, L. and Song, Y. (2006). 3D REGISTRATION AND MODELLING FOR FACE RECOGNITION. In Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 2: VISAPP; ISBN 972-8865-40-6; ISSN 2184-4321, SciTePress, pages 201-208. DOI: 10.5220/0001371002010208

@conference{visapp06,
author={Li Bai. and Yi Song.},
title={3D REGISTRATION AND MODELLING FOR FACE RECOGNITION},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 2: VISAPP},
year={2006},
pages={201-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001371002010208},
isbn={972-8865-40-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 2: VISAPP
TI - 3D REGISTRATION AND MODELLING FOR FACE RECOGNITION
SN - 972-8865-40-6
IS - 2184-4321
AU - Bai, L.
AU - Song, Y.
PY - 2006
SP - 201
EP - 208
DO - 10.5220/0001371002010208
PB - SciTePress