A hybrid face recognition method using Markov random fields

被引：22

作者：

Huang, R ^{[1
]}

Pavlovic, V ^{[1
]}

Metaxas, DN ^{[1
]}

机构：

[1] Rutgers State Univ, Div Comp & Informat Sci, Piscataway, NJ 08855 USA

来源：

PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3 | 2004年

关键词：

D O I：

10.1109/ICPR.2004.1334492

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a hybrid face recognition method that combines holistic and feature analysis-based approaches using a Markov random field (MRF) model. The face images are divided into small patches, and the MRF model is used to represent the relationship between the image patches and the patch ID's. The MRF model is first learned from the training image patches, given a test image. The most probable patch ID's are then interred using the belief propagation (BP) algorithm. Finally, the ID of the test image is determined by a voting scheme from the estimated patch ID's. Experimental results on several face datasets indicate the significant potential of our method.

引用

页码：157 / 160

页数：4