Estimating facial details by space-time shape-from-shading for 3D animation
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 95 === In this thesis, we propose a facial details estimation approach for 3D animation. We utilize a motion capture technique to create the primitive 3D model and apply our novel shape-from-shading (SFS) for facial details. We exploit a space-time hybrid domain for...
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| Format: | Others |
| Language: | en_US |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/50379147108123221730 |
| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 95 === In this thesis, we propose a facial details estimation approach for 3D animation. We utilize a motion capture technique to create the primitive 3D model and apply our novel shape-from-shading (SFS) for facial details. We exploit a space-time hybrid domain for recovering the 3D information. Space-time shape-from-shading can resolve the noise and ambiguity and get a more reliable result. In order to avoid the intrinsic ill-condition, an optimization method is proposed to approximate both the 3D face geometry and Phong reflectance properties. On rendering framework, the height and normal maps of facial details can be acquired from the image. While combing facial details with fundamental face model, our system can synthesize more detailed facial animation.
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