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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ohryun Kwon Junchul Chun Poem Park |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci., Kyonggi Univ., Suwon (Ohryun Kwon; Junchul Chun; Poem Park) |
| Abstract | This paper presents a novel approach to estimate 3D head pose dynamically from a sequence of input images. The exact head pose estimation and facial motion tracking are critical problems to be solved in developing a vision based human computer interaction system. Given an initial reference template of head image and corresponding head pose, the full head motion is recovered by using a cylindrical head model. By updating the template dynamically in order to accommodate gradual changes in lighting, it is possible to recover head pose robustly regardless of light variation and self-occlusion. For this, we adopt optical flow along with iteratively re-weighted least square technique. From the experiments, we can show the proposed approach efficiently estimate 3D head pose |
| Sponsorship | IEEE Comput. Soc |
| Starting Page | 135 |
| Ending Page | 139 |
| File Size | 761207 |
| Page Count | 5 |
| File Format | |
| ISBN | 0769526748 |
| DOI | 10.1109/ICHIT.2006.253477 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-11-09 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Solid modeling Head Tracking Motion estimation Phase estimation Skin Robustness Image sequences Face detection Facial animation |
| Content Type | Text |
| Resource Type | Article |
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