Title :
Animating Characters Using Nonparametric Regression
Author :
Chou, Yun-Feng ; Shih, Zen-Chung
Author_Institution :
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu
Abstract :
In this paper, we propose an image deformation technique using nonparametric regression to animate characters in a still image for multimedia applications. The proposed approach effectively produces a sequence of contiguous frames in an animation. It automatically generates deformed shapes by using elliptic radial basis functions (ERBFs) and locally weighted regression (LOESS). ERBFs are used for representing the deformed character´s shapes in synthesized frames. For preserving the pattern within a shape, LOESS is applied to fit the detail with local control. Furthermore, the results show the synthesized frames without unnatural distortion.
Keywords :
computer animation; image processing; multimedia computing; nonparametric statistics; radial basis function networks; regression analysis; character animation; elliptic radial basis function; image deformation; locally weighted regression; multimedia application; nonparametric regression; shape deformation; still image; Animation; Application software; Automatic control; Character generation; Computer science; Kernel; Leg; Shape control; Stochastic processes; Surface fitting; elliptic radial basis functions; functional approximation; image deformation; locally weighted regression;
Conference_Titel :
Computer Science and its Applications, 2008. CSA '08. International Symposium on
Conference_Location :
Hobart, ACT
Print_ISBN :
978-0-7695-3428-2
DOI :
10.1109/CSA.2008.45