Referenced Items are not available for this document.
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 reduces significantly the computational complexity of previous HMM-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
Published in:
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
(Volume:1
)
Date of Conference: 4-7 Oct 1998
- Page(s):
- 141 - 145 vol.1
- Meeting Date :
- 04 Oct 1998-07 Oct 1998
- Print ISBN:
- 0-8186-8821-1
- INSPEC Accession Number:
- 6195093
- Conference Location :
- Chicago, IL
- Digital Object Identifier :
- 10.1109/ICIP.1998.723445
- Product Type:
- Conference Publications
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