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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shun Miao Krim, H. |
| Copyright Year | 2011 |
| Description | Author affiliation: North Carolina State University, ECE Department, Raleigh, NC-27606, USA (Shun Miao; Krim, H.) |
| Abstract | We describe a robust method for 3D face recognition under variance of facial expressions. The method utilizes the identical areas on two facial images as the measurement of distance. To segment the identical area, partial shape matching is performed using closest point registration and level set method. The segmentation problem is formalized into an Eikonal equation, which can be efficiently solved by fast marching method. The presented 3D face recognition method shows a very promising recognition rate. |
| Starting Page | 289 |
| Ending Page | 292 |
| File Size | 283377 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457719202 |
| ISSN | 21623562 |
| e-ISBN | 9781457719219 |
| DOI | 10.1109/SiPS.2011.6088991 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-04 |
| Publisher Place | Lebanon |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Three dimensional displays Face Face recognition Level set Equations Nose Iterative closest point algorithm Iterative Closest Point (ICP) Face Recognition Level Set Method Fast Maching Algorithm |
| Content Type | Text |
| Resource Type | Article |
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