DocumentCode :
2693067
Title :
3D caricature generation by manifold learning
Author :
Li, Pengfei ; Chen, Yiqiang ; Liu, Junfa ; Fu, Guanhua
Author_Institution :
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing
fYear :
2008
fDate :
June 23 2008-April 26 2008
Firstpage :
941
Lastpage :
944
Abstract :
3D caricature generation is becoming an interesting and important research program, but it is impossible for the computer to draw an elegant caricature without any background. In this paper, we build a training set which contains 110 true face photographs and corresponsive 3D caricature models. Based on that training set, the LLE manifold learning is performed to discover the low dimensional embeddings. Between the 2D true face embeddings and 3D caricature embeddings, a regressive model is learnt by the Extreme Learning Machine. Experiments show that, the regressive manifold model is effective to generate the final 3D caricature for a 2D facial photograph.
Keywords :
face recognition; learning (artificial intelligence); regression analysis; solid modelling; 2D facial photograph; 3D model; LLE manifold learning; caricature generation; extreme learning machine; regressive model; Computers; Deformable models; Facial features; Machine learning; Magnetic heads; Manifolds; Network synthesis; Neural networks; Principal component analysis; Sampling methods; 3D; Caricature; ELM; LLE; Manifold;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2008 IEEE International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-2570-9
Electronic_ISBN :
978-1-4244-2571-6
Type :
conf
DOI :
10.1109/ICME.2008.4607591
Filename :
4607591
Link To Document :
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