Download e-book for iPad: Data-Driven 3d Facial Animation by Zhigang Deng, Ulrich Neumann

By Zhigang Deng, Ulrich Neumann

ISBN-10: 1846289068

ISBN-13: 9781846289064

ISBN-10: 1846289076

ISBN-13: 9781846289071

“Data-Driven 3D Facial Animation” systematically describes the $64000 innovations built over the past ten years or so. even though 3D facial animation is used an increasing number of within the leisure industries, to this point there were only a few books that handle the ideas involved.

Comprehensive in scope, the e-book covers not just conventional lip-sync (speech animation), but additionally expressive facial movement, facial gestures, facial modeling, enhancing and sketching, and facial animation shifting. It presents an up to date reference resource for educational learn and for execs operating within the facial animation box. An edited quantity, the booklet brings jointly contributions from major researchers and practitioners operating in either academia and within the top animation studios.

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Extra info for Data-Driven 3d Facial Animation

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4. 3 The Visyllable Database We now explain the actual data capture and post-processing so that the resulting visyllable database can be used in the automatic concatenation of the visyllable units in the real-time speech animation system. Once we define a list of valid demisyllables, it is rather straightforward to capture them using a facial motion capture system. The optical motion capture system directly results in the 3D position of the feature points attached to the speaker’s face. The important step in the system is the processing of the captured data.

Journal of Visualization and Computer Animation, 12(2):67–79, 2001. 71. J. Noh, D. Fidaleo, and U. Neumann. Gesture driven facial animation, USC Technical Report 02–761, 2002. 72. P. C. Tien, M. Desbrun, and F. Pighin. Learning controls for blend shape based realistic facial animation. In Eurographics/SIGGRAPH Symposium on Computer Animation, pages 35–42, 2003. 73. it/mpeg. 74. J. Ostermann. Animation of synthetic faces in MPEG-4. In Proc. of IEEE Computer Animation, 1998. 75. M. Escher, I. S. M.

D. Thesis, University of Pennsylvania, 1985. 37. Y. Zhang, E. C. Parkash, and E. Sung. A physically-based model with adaptive refinement for facial animation. In Proc. of IEEE Computer Animation’2001, pages 28–39, 2001. 38. K. Kähler, J. P. Seidel. Geometry-based muscle modeling for facial animation. In Proc. of Graphics Interface’2001, 2001. 39. D. Terzopoulos and K. Waters. Physically-based facial modeling, analysis, and animation. Journal of Visualization and Computer Animation, 1(4):73–80, 1990.

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Data-Driven 3d Facial Animation by Zhigang Deng, Ulrich Neumann


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