Recognition of Facial Images with Low Resolution Using a Hopfield Memory Model
Ying Dai and Yasuaki Nakano
Proc. of the International Conference
on Audio- and Visual-based Biometric Person Authentication (AVBPA'97), pp. 153-160 (1997)
Abstract
In this paper, a new method for recognizing the facial images
with low resolution by utilizing the Hopfield model is presented. In this
method, according to the Markov random field (MRF) model, the Hopfield memory
model with recall capability is constructed. Based on the composed Hopfield
memory model, the relation between the reliability of the recalls and the number
of faces memorized in the Hopfield memory is analyzed, and the scheme for the
face recognition combined with the pattern matching is presented.
[Face Recognition]
[Research Themes of Prof. Nakano.]
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First Written Before June 17, 1998
Transplanted to KSU Before June 19, 2003
Transplanted to So-net April 22, 2007
Last Update April 22, 2007
© Yasuaki Nakano 1998-2007