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

Heng Liu, Dapeng Zhang, Zhiyuan Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


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.
Original languageEnglish
Title of host publicationEmerging Intelligent Computing Technology and Applications
Subtitle of host publicationWith Aspects of Artificial Intelligence - 5th International Conference on Intelligent Computing, ICIC 2009, Proceedings
Number of pages11
Publication statusPublished - 2 Nov 2009
Event5th International Conference on Intelligent Computing, ICIC 2009 - Ulsan, Korea, Republic of
Duration: 16 Sep 200919 Sep 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5755 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th International Conference on Intelligent Computing, ICIC 2009
Country/TerritoryKorea, Republic of

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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