Parameterisation of a stochastic model for human face identification
Top Cited Papers
- 17 December 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 138-142
- https://doi.org/10.1109/acv.1994.341300
Abstract
Recent work on face identification using continuousdensity Hidden Markov Models (HMMs) has shownthat stochastic modelling can be used successfully toencode feature information. When frontal images offaces are sampled using top-bottom scanning, thereis a natural order in which the features appear andthis can be conveniently modelled using a top-bottomHMM. However, a top-bottom HMM is characterisedby different parameters, the choice of which has so farbeen based on subjective intuition. ...Keywords
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