Face Detection From Color Images Using a Fuzzy Pattern Matching Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Empirical Performance Analysis of Linear Discriminant Classifiers
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A study of efficiency and accuracy in the transformation from RGB to CIELAB color space
IEEE Transactions on Image Processing
Human expression recognition from motion using a radial basis function network architecture
IEEE Transactions on Neural Networks
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This paper deals with a humanoid robot system of recognizing human's expression from a detected human's face and then showing human's emotion. A face detection method is as follows. First, change RGB color space to CIElab color space. Second, extract skin candidate territory. Third, detect a face through facial geometrical interrelation by face filter. Then, the position of eyes, a nose and a mouth which are used as the preliminary data of expression recognition are distinguished using geometrical features. Usually, when a person shows expression, he uses eyebrows, eyes and a mouth. In this paper, the change of eyebrows and a mouth are used as feature values of expression recognition. Feature values which are gained in this way are sent to a robot through serial communication. Then the robot operates a motor that is installed and shows human's emotion. The result of experiments on 60 persons shows 77.9% accuracy.