DocumentCode :
1721235
Title :
Multi-scale Cartoon Motion Capture and Retargeting without Shape Matching
Author :
Rastegari, Mohammad ; Gheissari, Niloofar
fYear :
2008
Firstpage :
320
Lastpage :
326
Abstract :
This paper presents a novel approach for cartoon motion capture and retargeting. Unlike known approaches this method does not rely on finding corresponding points on shape contours. We assume movements have two components, rigid motions and non-rigid deformations. We capture rigid motions by using a similarity transforms. Non-rigid deformations are encoded by the Fourier transform and a key-shape interpolation. An important aspect of the proposed retargeting method is that it is performed in a multi-scale framework which helps us preserve the target´s visual style. We have applied the proposed algorithm to a set of test images and results show very good performance of the proposed method.
Keywords :
Fourier transforms; computer animation; image motion analysis; interpolation; Fourier transform; key-shape interpolation; multiscale cartoon motion capture; multiscale cartoon motion retargeting; nonrigid deformations; rigid motions; similarity transforms; Application software; Computer applications; Computer vision; Digital images; Facial animation; Fourier transforms; Interpolation; Motion estimation; Shape; Testing; Cartoon; Motion Capture; Point Matching; Retargeting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing: Techniques and Applications (DICTA), 2008
Conference_Location :
Canberra, ACT
Print_ISBN :
978-0-7695-3456-5
Type :
conf
DOI :
10.1109/DICTA.2008.51
Filename :
4700038
Link To Document :
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