DocumentCode :
2686542
Title :
Face Sketch Synthesis using E-HMM and Selective Ensemble
Author :
Juanjuan Zhong ; Xinbo Gao ; Chunna Tian
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xi´an, China
Volume :
1
fYear :
2007
fDate :
15-20 April 2007
Abstract :
In this manuscript, we propose an automatic sketch synthesis algorithm based on embedded hidden Markov model (E-HMM) and selective ensemble strategy. The E-HMM is used to model the nonlinear relationship between a photo-sketch pair firstly, and then a series of pseudo-sketches, which are generated based on several learned models for a given photo, are integrated together with selective ensemble strategy to synthesize a finer face pseudo-sketch. The experimental results illustrate that the proposed algorithm achieves satisfactory effect of sketch synthesis.
Keywords :
face recognition; hidden Markov models; automatic sketch synthesis algorithm; embedded hidden Markov model; face pseudosketch synthesis; selective ensemble strategy; Face detection; Face recognition; Hidden Markov models; Image databases; Image processing; Image reconstruction; Information retrieval; Laboratories; Machine learning algorithms; Unsupervised learning; Face recognition; Hidden Markov models; Learning systems; Machine vision; Unsupervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Type :
conf
DOI :
10.1109/ICASSP.2007.366722
Filename :
4217122
Link To Document :
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