Face detection and recognition using Hidden Markov Models

被引：0
|
作者：
Nefian, AV [1 ]
Hayes, MH [1 ]
机构：
[1] Georgia Inst Technol, Sch Elect & Comp Engn, Ctr Signal & Image Proc, Atlanta, GA 30332 USA
来源：
1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 1 | 1998年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The work presented in this paper describes a Hidden Markov Model (HMM)-based framework for face recognition and face detection. The observation vectors used to characterize the states of the HMM are obtained using the coefficients of the Karhunen-Loeve Transform (KLT). The face recognition method presented in this paper reduces significantly the computational complexity of previous KMM-based face recognition systems, while slightly improving the recognition rate. Consistent with the HMM model of the face, this paper introduces a novel HMM-based face detection approach using the same feature extraction techniques used for face recognition.
引用
收藏
页码：141 / 145
页数：5
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