Ear Recognition with Variant Poses Using Locally Linear Embedding

Authors:
Zhaoxia Xie;Zhichun Mu
Affiliations:
School of Information Engineering, University of Science and Technology Beijing, China 100083;School of Information Engineering, University of Science and Technology Beijing, China 100083
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Year:
2008

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Abstract

Ear recognition with variant poses is an important problem. In this paper locally linear embedding (LLE) is introduced considering the advantages of LLE, by analyzing the shortcomings of most ear recognition methods currently when dealing with pose variations. Experimental results demonstrate that applying LLE for ear recognition with variant poses is feasible and can obtain the better recognition rate, which shows the validity of this algorithm.