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- Li Zhang
- University of Washington
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- Noah Snavely
- University of Washington
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- Brian Curless
- University of Washington
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- Steven M. Seitz
- University of Washington
書誌事項
- タイトル別名
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- high resolution capture for modeling and animation
抄録
<jats:p>We present an end-to-end system that goes from video sequences to high resolution, editable, dynamically controllable face models. The capture system employs synchronized video cameras and structured light projectors to record videos of a moving face from multiple viewpoints. A novel spacetime stereo algorithm is introduced to compute depth maps accurately and overcome over-fitting deficiencies in prior work. A new template fitting and tracking procedure fills in missing data and yields point correspondence across the entire sequence without using markers. We demonstrate a data-driven, interactive method for inverse kinematics that draws on the large set of fitted templates and allows for posing new expressions by dragging surface points directly. Finally, we describe new tools that model the dynamics in the input sequence to enable new animations, created via key-framing or texture-synthesis techniques.</jats:p>
収録刊行物
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- ACM Transactions on Graphics
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ACM Transactions on Graphics 23 (3), 548-558, 2004-08
Association for Computing Machinery (ACM)
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詳細情報 詳細情報について
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- CRID
- 1363670318303525376
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- NII論文ID
- 30022063552
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- ISSN
- 15577368
- 07300301
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- データソース種別
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- Crossref
- CiNii Articles