By Prof. Yueting Zhuang, Prof. Yunhe Pan, Dr. Jun Xiao (auth.)
Part of the recent sequence complicated themes in technological know-how and know-how in China, this ebook discusses the suggestions, thought, and middle applied sciences of clever idea and human animation, together with video dependent human animation and clever know-how of movement facts administration and reusing. It introduces structures constructed to illustrate the applied sciences of video dependent animation. every one bankruptcy is self sufficient, whereas energetic images and demos during the textual content assist in making the speculation and applied sciences extra available to readers.
For researchers, this is often an excellent reference booklet and an replace at the present prestige of human animation. For execs, this booklet will function a advisor for software improvement utilizing human animation technologies.
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Extra resources for A Modern Approach to Intelligent Animation: Theory and Practice
Calculate: d i f f o =WR 9 I Xo [-Red-] -- Xo t [-Red-] I + W~ 9 ] Xo [Green]--Xo'[Green-][ + WB " I Xo [Blue-I--X0 '[Blue] I (2-10) S = 1/(W 1 (Z- 11) ,, E d i f f o + Wz 9 ~ ( i , j ) E bx diffo ) ( i , j ) 6 bz where WR, W~, WB represent the weights of each element in RGB, bx, bz represent the two regions divided in the block, and W1, Wz represent the weight of each region in the whole block. In the case of the head, we define the center region as bl and the marginal region as bz, respectively: ( i , j ) E b l , if m / 4 ~ i ~ ( 3 / 4 ) m ( i , j ) E b z , otherwise and n / 4 ~ ( 3 / 4 ) n " (2-12) Here we have W I ~ W z .
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.
Learning to synthesize motion styles. Snowbird Learning Workshop, 2006. Park MJ, Shin SY. Example based motion cloning. Computer Animation and Virtual Worlds, 15 : 245-257, 2004. Liu CK, Popovic Z. Synthesis of complex dynamic character motion from simple animation. In: SIGGRAPH' 02, pp. 408-416, ACM Press, 2002. Liu CK, Hertzmann A, Popovic Z. Learning physics-based motion style with non|inear inverse optimization. ACM Transactions on Graphics, 24(3): 1071-1081, 2005. Abe Y, Liu CK, Popovic Z.