Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/64341
Title: A novel 3D face recognition algorithm using template based registration strategy and artificial neural networks
Authors: Niu, B
Shiu, SCK 
Pal, SK
Issue Date: 2005
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), v. 3776, p. 315-317 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: In this paper, we present a novel algorithm for 3D face recognition that is robust to the rotations and translations of the face models. Based on the Iterative Closest Point algorithm, a template based registration strategy is proposed for data normalization. Back-Propagation neural networks are then constructed to perform recognition tasks. The proposed algorithm is general purpose and can be applied for common 3D object recognitions. Experimental results illustrate that the algorithm is effective and robust.
Description: 1st International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005, Kolkata, India, December 20-22, 2005
URI: http://hdl.handle.net/10397/64341
ISBN: 978-3-540-30506-4 (print)
978-3-540-32420-1 (online)
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/11590316_46
Appears in Collections:Conference Paper

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