Affective interaction based on person-independent facial expression space

被引：11

作者：

Wang, Hao ^{[1
]}

Wang, Kongqiao ^{[1
]}

机构：

[1] Nokia Syst Res Ctr, Beijing Econ & Technol Dev Area, Beijing 100176, Peoples R China

来源：

NEUROCOMPUTING | 2008年 / 71卷 / 10-12期

关键词：

facial expression analysis; facial expression synthesis; SLPP; affective interaction;

D O I：

10.1016/j.neucom.2007.10.022

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a person-independent facial expression space (PIFES) to analyze and synthesize facial expressions based on supervised locality preserving projections (SLPP), which aligns different subjects and different intensities of facial expressions on one generalized expression manifold. Interactive curves of different patterns are generated according to the input facial expression image sequence, and target responsive expression images are synthesized for different emotions. In order to synthesize arbitrary expressions for a new person with natural details, a novel approach based on local geometry preserving between the input face image and the target expression image is proposed. Experimental results clearly demonstrate the efficiency of the proposed algorithm. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：1889 / 1901

页数：13

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