Real-time accurate facial feature corner localization by rule-based selection

  • Jiaqi Tong*
  • , Lizhuang Ma
  • , Zhiliang Xu
  • *Corresponding author for this work

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

Abstract

We propose a coarse-to-fine approach for localizing eye and lip corners, which is accurate and robust, and can be executed in real-time. Given an image, we first detect the face and the rough initial positions of eyes and lip in the coarsest level. In the middle level, SUSAN corner detection is applied to obtain candidate corners, from which we select a best one as the facial feature corner. Finally, in the finest level, the corner is further refined by Normalized Cross-Correlation (NCC) template matching. We have tested our algorithm on the database containing over 5000 faces with various poses, expressions, occlusions and light conditions. The experimental results show that our method can successfully localize the facial feature corners with more than 20FPS, which is very appealing.

Original languageEnglish
Title of host publicationProceedings of the 2009 6th International Conference on Computer Graphics, Imaging and Visualization
Subtitle of host publicationNew Advances and Trends, CGIV2009
Pages331-336
Number of pages6
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009 - Tianjin, China
Duration: 11 Aug 200914 Aug 2009

Publication series

NameProceedings of the 2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009

Conference

Conference2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009
Country/TerritoryChina
CityTianjin
Period11/08/0914/08/09

Keywords

  • Coarse to fine framework
  • Facial features localization
  • Pattern recognition
  • SUSAN corner detection

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