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Face detection and recognition using hidden Markov models

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2 Author(s)
Nefian, A.V. ; Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA ; Hayes, M.H., III

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