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| Research of multi-ose face image synthesis froom a single view |
| Zhu Changren; Wang Runsheng |
| ATR National Key Lab., National University of Defense Technology Chanysha 410073 China |
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Abstract An algorithm that can synthesize multi-pose face images from a single view or small samples is proposed in this paper. First, the human face is represented with a dominant point set. Then, the variance of the dominant point set between different poses is fitted based on a least square fitting with a polynomial function and a global morphing field is formed. Finally, multi-pose face images are synthesized by image warping from a single view based on the global morphing field. An experiment of multi-pose face recognition is done based on the single view and synthesized multi-pose images. The results show that its performance is by far superior to those of the traditional methods. Thus, they prove the effectiveness of the algorithm in this paper.
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Received: 18 September 2001
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2003, Vol. 25 
