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概要
- 論文の詳細を見る
As a nonverbal language, facial expressions have been studied by psychologists for a long time. It is more universal than verbal languages, in view of reflecting more sensitive information from the emotion of human beings at the same time. In this paper, we introduce a method using back-propagation neural networks to facial expression recognition. As an important technique for pattem recognition, back-propagation networks have many successful applications. In our scheme, the number of hidden nodes are determined by means of logically analyzing internal representationsof features in a face. Moreover, we show the simulation results of our methods and discuss the ability of theneural networks in recognizing facial expressions
- 一般社団法人情報処理学会の論文
- 1993-03-01
著者
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Nakamura T
Tohoku Univ. Sendai Jpn
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Kobayashi H
Tohoku Univ. Sendai‐shi Jpn
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Shimamura J.dinqm.
Furukawa Midorigaoka Hospital
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- バックプロパゲーションにおける表情認識について