Online facial expression recognition based on personalized galleries

被引：46

作者：

Hong, H ^{[1
]}

Neven, H ^{[1
]}

von der Malsburg, C ^{[1
]}

机构：

[1] Univ So Calif, Lab Computat & Biol Vis, Los Angeles, CA 90089 USA

来源：

AUTOMATIC FACE AND GESTURE RECOGNITION - THIRD IEEE INTERNATIONAL CONFERENCE PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/AFGR.1998.670974

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An online facial expression recognition system based on personalized galleries is presented. This system is built on the framework of the PersonSpotter system, which a's able to track and detect the face of a person in a live video sequence. By utilizing the recognition method of Elastic Graph Matching, the most similar person whose images are stored in the gallery can be found, then the personalized gallery of this person is used to recognize the expression on the probe face. A personalized gallery consists of images of the same person showing different facial expressions. Node weighting and weighted voting in addition to Elastic Graph Matching are applied to identify the expression. The performance achieved by this system shows its great potential.

引用

页码：354 / 359

页数：2