Tracking facial feature points with Gabor wavelets and shape models

被引：0
|
作者：
McKenna, SJ
Gong, SG
Wurtz, RP
Tanner, J
Banin, D
机构：
[1] Univ London Queen Mary & Westfield Coll, Dept Comp Sci, Machine Vis Lab, London E1 4NS, England
[2] Univ Groningen, Inst Math & Comp Sci, NL-9700 AV Groningen, Netherlands
来源：
AUDIO- AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION | 1997年 / 1206卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A feature-based approach to tracking rigid and non-rigid facial motion is described. Feature points are characterised using Gabor wavelets and can be individually tracked by phase-based displacement estimation. In order to achieve robust tracking a flexible shape model is used to impose global constraints upon the local feature points and to constrain the tracker. While there are many applications in facial analysis, the approach can be used for tracking other textured objects.
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页码：35 / 42
页数：8
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