DocumentCode
3138811
Title
Animating Characters Using Nonparametric Regression
Author
Chou, Yun-Feng ; Shih, Zen-Chung
Author_Institution
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu
fYear
2008
fDate
13-15 Oct. 2008
Firstpage
191
Lastpage
198
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and its Applications, 2008. CSA '08. International Symposium on
Conference_Location
Hobart, ACT
Print_ISBN
978-0-7695-3428-2
Type
conf
DOI
10.1109/CSA.2008.45
Filename
4654085
Link To Document