DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Shin, Sung-Yong | - |
dc.contributor.advisor | 신성용 | - |
dc.contributor.author | Chung, Hee-Jin | - |
dc.contributor.author | 정희진 | - |
dc.date.accessioned | 2011-12-13T06:04:27Z | - |
dc.date.available | 2011-12-13T06:04:27Z | - |
dc.date.issued | 2004 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=238534&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/34625 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전산학전공, 2004.2, [ v, 30 p. ] | - |
dc.description.abstract | In this thesis, a region-based approach for cloning facial expressions of a source model to a target model, using predefined key-models, is presented. With the models segmented into regions, the regions can be cloned individually, using the key-shapes of the region acquired from the key-models. Since the final expressions are obtained by combining the cloned regions, the region-based approach allows complex expressions to be cloned with a small number of key-models. The region based approach adopted in this thesis consists two stages: the preprocessing and the synthesis stages. In the preprocessing stage, which is carried out once at the beginning, the models are automatically segmented into three regions using the key-models. Once the regions are segmented, the target key-shapes of each region are parameterized using the corresponding source key-shapes. In the synthesis stage, a cloned target shape for each region is generated by blending the target key-shapes, and these shapes are combined to generate the final target expression for each frame of the input animation in runtime. In the resulting animations, the source model`s complex expressions are convincingly cloned to the target model using a small number of key-models. This approach provides real-time performance. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | EXPRESSION CLONING | - |
dc.subject | FACIAL ANIMATION | - |
dc.subject | REGION SEGMENTATION | - |
dc.subject | 얼굴 영역 | - |
dc.subject | 표정 복제 | - |
dc.subject | 얼굴 애니메이션 | - |
dc.title | (A) region-based approach for facial expression cloning | - |
dc.title.alternative | 얼굴 표정 복제를 위한 영역 기반 접근 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 238534/325007 | - |
dc.description.department | 한국과학기술원 : 전산학전공, | - |
dc.identifier.uid | 020023573 | - |
dc.contributor.localauthor | Shin, Sung-Yong | - |
dc.contributor.localauthor | 신성용 | - |
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