Prof. Yueting Zhuang, Prof. Yunhe Pan, Dr. Jun Xiao (auth.)'s A Modern Approach to Intelligent Animation: Theory and PDF

By Prof. Yueting Zhuang, Prof. Yunhe Pan, Dr. Jun Xiao (auth.)

ISBN-10: 3540737596

ISBN-13: 9783540737599

ISBN-10: 354073760X

ISBN-13: 9783540737605

Part of the recent sequence complex subject matters in technology and know-how in China, this e-book discusses the innovations, idea, and middle applied sciences of clever idea and human animation, together with video established human animation and clever know-how of movement facts administration and reusing. It introduces structures built to illustrate the applied sciences of video established animation. every one bankruptcy is self sufficient, whereas vigorous images and demos through the textual content help in making the speculation and applied sciences extra available to readers.

For researchers, this is often an awesome reference e-book and an replace at the present prestige of human animation. For pros, this publication will function a consultant for software improvement utilizing human animation technologies.

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Extra info for A Modern Approach to Intelligent Animation: Theory and Practice

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Akita E6] focused on the model-based motion analysis for real image sequence, and they used a key-frame sequence of stick figures to indicate the approximate order of the motion and spatial relationships between the body parts. Bregler and Malik ET] recoveredthe 3D human motion under orthographic projection by marking the body segments in an initial frame. For the special complexity of human motion, the existing research methods laid considerable limitations, such as a uniform and quiescent background, parallelism of human motion direction to the image plane, and skintight clothing of human Es].

As the negative average distance value a t the sampled p o i n t s ' 2D locations on the s i l h o u e t t e ' s Euclidean distance transform. M 1 ~ II SV~tt (Xm ,Ym) II (2-26) where M is the total count of sampled points, (x~ ,y~) is the calculated 2D position of the ruth point, and Sv~t, which is the distance transform of silhouette Sr takes in a position coordinate and returns the distance value to the nearest edge. Note that the scaling and aligning of skeleton against the silhouette are conducted using the detected trunk on the silhouette.

Automated extraction and parameterization o{ motions in large data sets. In: SIGGRAPH'04, pp. 559-568, ACM Press, 2004. Brand ME, Hertzmann A. Style machines. In. SIGGRAPH 2000, pp. 183-192, ACM Press, 2000. Hsu E, Pulli K, Popovic J. Style translation for human motion. ACM Transactions on Graphics, 24 (3) : 1082-1089, 2005. Grochow K, Martin SL, H ertzmann A, Popovic Z. Style-based inverse kinematics. In. S I G G R A P H ' 0 4 , pp. 522-531, ACM Press, 2OO4. Torresani L, Hackney P, Breg|er C. Learning to synthesize motion styles.

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A Modern Approach to Intelligent Animation: Theory and Practice by Prof. Yueting Zhuang, Prof. Yunhe Pan, Dr. Jun Xiao (auth.)

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