Summary: | 碩士 === 國立交通大學 === 多媒體工程研究所 === 96 === This thesis presents a multi-layer analysis and synthesis approach to synthesize novel expressions with fine facial details and global features. We analyze correlation between different face regions as the criterion for face segmentation, and process each sub-region independently for generating various appearances. In synthesis procedure, we use the high-band enhancement steerable pyramid for decomposing various frequency components. The lowest sub-band is used for primary deformation by blend shape. For high-band, the statistic-based feature matching and high-band enhancement synthesis is applied. Due to our high-band\low-band separate procedures, we can synthesize photorealistic facial expressions. Integrate our approach with spatial-temporal constraints and texture alignment, we can generate detail-preserved facial animation.
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