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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiaqi Tong Lizhuang Ma Zhiliang Xu |
| Copyright Year | 2009 |
| 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. |
| Starting Page | 331 |
| Ending Page | 336 |
| File Size | 413827 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769537894 |
| DOI | 10.1109/CGIV.2009.7 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Eyes Face recognition Humans Facial features localization Spatial databases Coarse to fine framework Pattern recognition Face detection SUSAN corner detection Computer graphics Cameras Robustness Facial features |
| Content Type | Text |
| Resource Type | Article |
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