Face Detection and Recognition using Hidden Markov Models
نویسندگان
چکیده
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 coeecients of the Karhunen-Loeve Transform (KLT). The face recognition method presented in this paper reduces signiicantly 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.
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