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

  • Jiaqi Tong*
  • , Lizhuang Ma
  • , Zhiliang Xu
  • *此作品的通讯作者
  • Shanghai Jiao Tong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Proceedings of the 2009 6th International Conference on Computer Graphics, Imaging and Visualization
主期刊副标题New Advances and Trends, CGIV2009
331-336
页数6
DOI
出版状态已出版 - 2009
已对外发布
活动2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009 - Tianjin, 中国
期限: 11 8月 200914 8月 2009

出版系列

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

会议

会议2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009
国家/地区中国
Tianjin
时期11/08/0914/08/09

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