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Automatic 3D facial model and texture reconstruction from range scans

Xiang, G., Ju, X. and Holt, P. (2010) Automatic 3D facial model and texture reconstruction from range scans. Lecture Notes in Computer Science, 6169, pp. 260-269. (doi: 10.1007/978-3-642-14061-7_25)

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Abstract

This paper presents a fully automatic approach to fitting a generic facial model to detailed range scans of human faces to reconstruct 3D facial models and textures with no manual intervention (such as specifying landmarks). A Scaling Iterative Closest Points (SICP) algorithm is introduced to compute the optimal rigid registrations between the generic model and the range scans with different sizes. And then a new template-fitting method, formulated in an optmization framework of minimizing the physically based elastic energy derived from thin shells, faithfully reconstructs the surfaces and the textures from the range scans and yields dense point correspondences across the reconstructed facial models. Finally, we demonstrate a facial expression transfer method to clone facial expressions from the generic model onto the reconstructed facial models by using the deformation transfer technique.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ju, Dr Xiangyang
Authors: Xiang, G., Ju, X., and Holt, P.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing > Dental School
Research Group:BARC
Journal Name:Lecture Notes in Computer Science
Journal Abbr.:LNCS
ISSN:0302-9743
Copyright Holders:Copyright © 2010 Springer
First Published:First published in Lecture Notes in Computer Science 6169:260-269
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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  • Automatic 3D facial model and texture reconstruction from range scans. (deposited 01 May 2012 15:47) [Currently Displayed]

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