Local face sketch synthesis learning

被引：46
|
作者：
Gao, Xinbo [2 ]
Zhong, Juanjuan [2 ]
Tao, Dacheng [1 ]
Li, Xuelong [3 ]
机构：
[1] Hong Kong Polytech Univ, Biometr Res Ctr, Hong Kong, Hong Kong, Peoples R China
[2] Xidian Univ, Sch Elect Engn, Xian, Shaanxi, Peoples R China
[3] Univ London, Birkbeck Coll, Sch Comp Sci & Informat Syst, London WC1E 7HU, England
来源：
NEUROCOMPUTING | 2008年 / 71卷 / 10-12期
基金：
中国国家自然科学基金;
关键词：
facial sketch synthesis; sketch-photo recognition; E-HMM; selective ensemble; pseudo-sketch;
D O I：
10.1016/j.neucom.2007.10.025
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Facial sketch synthesis (FSS) is crucial in sketch-based face recognition. This paper proposes an automatic FSS algorithm with local strategy based on embedded hidden Markov model (E-HMM) and selective ensemble (SE). By using E-HMM to model the nonlinear relationship between a photo-sketch patch pair, a series of pseudo-sketch patches, generated based on several learned models for a given photo patch, are integrated with SE strategy to synthesize a finer face pseudo-sketch patch. Finally, the intact pseudo-sketch can be generated by combining all synthesized patches. Experimental results illustrate that the proposed FSS algorithm works well. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码：1921 / 1930
页数：10
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