Face orientation estimation by particle swarm optimization

Yudong Zhang*, Lenan Wu, Zhengchao Dong, Shuihua Wang, Zhengyu Zhou

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

9 Citations (Scopus)

Abstract

Traditional methods for 2D-3D feature based pose estimation problem require two inputs, and they can not work well due to lack of correspondences of input images. In order to solve the pose estimation problem more effectively and rapidly, this paper proposed a 6-point template which overcomes the shortcomings of traditional approaches, and use particle swarm optimization to find the optimal solutions. Experiments demonstrate that the proposed method is effective, anti-noising, and rapid.

Original languageEnglish
Title of host publication2nd International Symposium on Information Science and Engineering, ISISE 2009
PublisherIEEE Computer Society
Pages388-391
Number of pages4
ISBN (Print)9780769539911
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 2nd International Symposium on Information Science and Engineering, ISISE 2009 - Shanghai, China
Duration: 26 Dec 200928 Dec 2009

Publication series

Name2nd International Symposium on Information Science and Engineering, ISISE 2009

Conference

Conference2009 2nd International Symposium on Information Science and Engineering, ISISE 2009
Country/TerritoryChina
CityShanghai
Period26/12/0928/12/09

Keywords

  • 6-point template
  • Face orientation estimation
  • Particle swarm optimization

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