Robust face recognition using subface hidden Markov models

Shih Ming Huang, Jar-Ferr Yang, Shih Cheng Chang

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

In this paper, a novel face recognition system using partitioned hidden Markov models is introduced to deal with partial occlusion problems. The proposed subface based system divides the face into forehead, eyes, nose, mouth, and chin, five subregions, which are characterized by five separated subface HMMs such that we can reconfigure these subface HMMs to achieve partially occluded face recognition. Moreover, we also suggested a facial grammar network to manipulate these subface HMMs to form various composite face HMMs. The Viterbi algorithm is used to estimate the likelihood score to perform face recognition with maximum likelihood criteria. Experiments are carried out on George Tech (GT) and AR facial databases. Experimental results reveal that the proposed system outperforms the embedded HMM (EHMM) and demonstrates promising abilities against partial occlusions and robustness against different facial expressions and illumination variations.

原文English
主出版物標題ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
主出版物子標題Nano-Bio Circuit Fabrics and Systems
頁面1547-1550
頁數4
DOIs
出版狀態Published - 2010 八月 31
事件2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 - Paris, France
持續時間: 2010 五月 302010 六月 2

出版系列

名字ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems

Other

Other2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010
國家France
城市Paris
期間10-05-3010-06-02

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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