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Adaptive control in cartoon data reusing
Author(s) -
Yu Jun,
Zhuang Yueting,
Xiao Jun,
Chen Cheng
Publication year - 2007
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.189
Subject(s) - computer science , character (mathematics) , animation , artificial intelligence , reuse , segmentation , computer vision , enhanced data rates for gsm evolution , computer graphics (images) , ecology , mathematics , geometry , biology
In this paper, we propose a novel approach, which reuses Traditional Chinese Cartoon to create new animations. In order to extract the cartoon character precisely, a segmentation method based on edge detection is implemented. Before reusing the data, a lower‐ dimensional space of the cartoon data is constructed by ISOmap. The character's gesture difference calculated by optical flow is combined with character's edge difference through a novel distance function, which is controlled by a weight parameter. The animation is created by reordering the existing data into a sequence, which is the shortest path between two designated data in the space. Our approach utilizes image processing, computer vision, and machine learning in cartoon creation and the experiment results demonstrate that the animation's quality can be effectively improved by the fusion of these techniques. Copyright © 2007 John Wiley & Sons, Ltd.