Multi-view ear recognition based on moving least square pose interpolation

  • Authors:
  • Heng Liu;David Zhang;Zhiyuan Zhang

  • Affiliations:
  • School of Information Engineering, Southwest University of Science and Technology, Mianyang, P.R. China and Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Sh ...;Department of Computing, The Hong Kong Polytechnic University, Hong Kong, P.R. China;Bio-computing Research center, Harbin Institute of Technology, Shenzhen Graduate School

  • Venue:
  • ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
  • Year:
  • 2009

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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.