Recognition of facial expressions based on the Hopfield memory model

Author

Dai, Ying ; Shibata, Yoshitaka ; Nakano, Yasuaki ; Hashimoto, Koji

Author_Institution

Iwate Pref. Univ., Morioka, Japan

Volume

2

fYear

1999

fDate

36342

Firstpage

133

Abstract

In this paper, a new method for recognizing facial expressions by utilizing the Hopfield model is presented. In this method, the Hopfield memory model with recall capability is constructed. When a facial image is given to the Hopfield memory as an input, all units which are at a stable state yield associate recall patterns. Based on the composed Hopfield memory model, the relation between the reliability of the recalls and the number of faces which are memorized in the Hopfield memory is analyzed. Based on the performance of the Hopfield memory model, the scheme for facial expression recognition combined with pattern matching is presented. The experimental results are shown and analyzed

Keywords

Hopfield neural nets; face recognition; pattern matching; performance evaluation; Hopfield memory model; experimental results; facial expression recognition; pattern matching; performance evaluation; recall capability; reliability; stable state; Authentication; Communication system security; Emotion recognition; Face recognition; Image recognition; Image resolution; Neurons; Pattern matching; Pattern recognition; Teleconferencing;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems, 1999. IEEE International Conference on

Conference_Location

Florence

Print_ISBN

0-7695-0253-9

Type

conf

DOI

10.1109/MMCS.1999.778201

Filename

778201