Parameterisation of a stochastic model for human face identification

Abstract

Stochastic modelling of non-stationary vector timeseries based on HMMs has been very successful for speech applications [5]. Recently it has been applied to a range of image recognition problems [7, 9]. Previously reported work [6] has investigated the use of HMMs to model human faces for identi cation purposes. Faces can be intuitively divided into regions… (More)
DOI: 10.1109/ACV.1994.341300

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