Modelling facial colour and identity with Gaussian mixtures

被引：143

作者：

McKenna, SJ ^{[1
]}

Gong, SG

Raja, Y

机构：

[1] Univ Dundee, Dept Appl Comp, Dundee DD1 4HN, Scotland

[2] Univ London Queen Mary & Westfield Coll, Dept Comp Sci, London E1 4NS, England

来源：

PATTERN RECOGNITION | 1998年 / 31卷 / 12期

基金：

英国工程与自然科学研究理事会;

关键词：

face recognition; biometrics; Gaussian mixtures; colour models;

D O I：

10.1016/S0031-3203(98)00066-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

An integrated system for the acquistion, normalisation and recognition of moving faces in dynamic scenes is introduced. Four face recognition tasks are defined and it is argued that modelling person-specific probability densities in a generic face space using mixture models provides a technique applicable to all four tasks. The use of Gaussian colour mixtures for face detection and tracking is also described. Results are presented using data from the integrated system. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

引用

页码：1883 / 1892

页数：10

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