Retrieval based interactive cartoon synthesis via unsupervised bi-distance metric learning
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Fuzzy diffusion distance learning for cartoon similarity estimation
Journal of Computer Science and Technology
Image classification by multimodal subspace learning
Pattern Recognition Letters
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In this paper we propose an approach, which allows the users to synthesize cartoon clips according to the perspective of the background image. In order to construct the cartoons smoothly, the character's edge distance and motion direction distance are demonstrated to be the factors affecting the human perception in similarity evaluation, and utilized in cartoon clips synthesis. When applying the generated cartoons to the background image, in which the perspective exists, the size of the character is coordinated according to the scaling factor calculated from the vanishing line. The experiment results demonstrate that our approach can synthesize the cartoon clips more smoothly compared with other single frame reusing strategies. The generated cartoons, which are applied to the background image, can be accepted by the human perception well. Copyright © 2008 John Wiley & Sons, Ltd.