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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xingyu Gao Yiqiang Chen Jingye Zhou Junfa Liu Chunyan Miao Zhenyu Chen |
| Copyright Year | 2009 |
| Description | Author affiliation: Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China (Xingyu Gao; Yiqiang Chen; Junfa Liu; Zhenyu Chen) || College of Information Engineering, Xiangtan University, Xiangtan, Hunan, China (Jingye Zhou) || School of Computer Engineering, Nanyang Technological University, Singapore (Chunyan Miao) |
| Abstract | Caricature synthesis is becoming one of the most challenging research problems nowadays, especially for 3D caricature. In this paper, we present a novel approach for 3D caricature synthesis adopting genetic sampling in eigenspace. Our approach aims to generate 3D caricature which has not only exaggerated effect but also facial feature of real face. Firstly, we build 3D caricature components eigenspaces by Principal Component Analysis (PCA). Moreover, genetic algorithm (GA) is used to sample optimal projections in the eigenspaces for 3D real face components, and then we reconstruct 3D caricature components by the projections. At last, we refine the 3D caricature using PCA-based sampling approach and Kriging Interpolation. The experiment results show that our approach can effectively synthesize interesting and harmonious 3D caricature. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 515599 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424446568 |
| DOI | 10.1109/ICICS.2009.5397620 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sampling methods Principal component analysis Spatial databases Facial features Genetic engineering Interpolation Educational institutions Computers Magnetic heads Deformable models |
| Content Type | Text |
| Resource Type | Article |
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