Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7982
Title: Multi-view ear recognition based on moving least square pose interpolation
Authors: Liu, H
Zhang, D 
Zhang, Z
Issue Date: 2009
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2009, v. 5755 LNAI, p. 1085-1095 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Based on moving least square, a multi-view ear pose interpolation and corresponding recognition approach is proposed. This work firstly analyzes the shape characteristics of actual trace caused by ear pose varying in feature space. Then according to training samples pose projection, we manage to recover the complete multi-view ear pose manifold by using moving least square pose interpolation. The constructed multi-view ear pose manifolds can be easily utilized to recognize ear images captured under different views based on finding the minimal projection distance to the manifolds. The experimental results and some comparisons show the new method is superior to manifold learning method and B-Spline based recognition method.
Description: 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, 16-19 September 2009
URI: http://hdl.handle.net/10397/7982
ISBN: 3642040195
9783642040191
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-642-04020-7_116
Appears in Collections:Conference Paper

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