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

页码：1921 / 1930

页数：10

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