3D face recognition based on facial shape indexes with dynamic programming

Hwanjong Song, Ukil Yang, Sangyoun Lee, Kwanghoon Sohn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

This paper describes a 3D face recognition method using facial shape indexes. Given an unknown range image, we extract invariant facial features based on the facial geometry, We estimate the 3D head pose using the proposed error compensated SVD method. For face recognition method, we define and extract facial shape indexes based on facial curvature characteristics and perform dynamic programming, Experimental results show that the proposed method is capable of determining the angle of faces accurately over a wide range of poses, In addition, 96.8% face recognition rate has been achieved based on the proposed method with 300 individuals with seven different poses.

Original languageEnglish
Title of host publicationAdvances in Biometrics - International Conference, ICB 2006, Proceedings
Pages99-105
Number of pages7
Publication statusPublished - 2006 Jun 15
EventInternational Conference on Biometrics, ICB 2006 - Hong Kong, China
Duration: 2006 Jan 52006 Jan 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3832 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Biometrics, ICB 2006
CountryChina
CityHong Kong
Period06/1/506/1/7

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Song, H., Yang, U., Lee, S., & Sohn, K. (2006). 3D face recognition based on facial shape indexes with dynamic programming. In Advances in Biometrics - International Conference, ICB 2006, Proceedings (pp. 99-105). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3832 LNCS).