A study of dimension reduction of Gabor features from different facial expressions

Rosdiyana Samad; Hideyuki Sawada

A study of dimension reduction of Gabor features from different facial expressions

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Facial expressions are an important channel of nonverbal communication. Currently, many facial expression analysis or recognition systems have been proposed. In this paper, a study of dimension reduction of Gabor features from different facial expressions is presented. Principle Component Analysis (PCA) is used as dimension reduction method. The experiment is conducted by using samples of face image for eight subjects. There are six facial expressions; anger, fear, happy, neutral, sadness and surprise are used in this study. In this experiment, we use different poses and head postures of each subject. Experiment results demonstrated the reduced dimensions of Gabor features could be effectively used in the next processing for recognizing facial expressions.

Original language	English
Title of host publication	Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10
Pages	610-613
Number of pages	4
Publication status	Published - 2010 Dec 1
Externally published	Yes
Event	15th International Symposium on Artificial Life and Robotics, AROB '10 - Beppu, Oita, Japan Duration: 2010 Feb 4 → 2010 Feb 6

Publication series

Name	Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10

Other

Other	15th International Symposium on Artificial Life and Robotics, AROB '10
Country/Territory	Japan
City	Beppu, Oita
Period	10/2/4 → 10/2/6

Keywords

Dimension reduction
Facial expression
Gabor features
PCA

ASJC Scopus subject areas

Artificial Intelligence
Computer Vision and Pattern Recognition
Human-Computer Interaction

Cite this

A study of dimension reduction of Gabor features from different facial expressions. / Samad, Rosdiyana; Sawada, Hideyuki.
Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10. 2010. p. 610-613 (Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Samad, R & Sawada, H 2010, A study of dimension reduction of Gabor features from different facial expressions. in Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10. Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10, pp. 610-613, 15th International Symposium on Artificial Life and Robotics, AROB '10, Beppu, Oita, Japan, 10/2/4.

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AB - Facial expressions are an important channel of nonverbal communication. Currently, many facial expression analysis or recognition systems have been proposed. In this paper, a study of dimension reduction of Gabor features from different facial expressions is presented. Principle Component Analysis (PCA) is used as dimension reduction method. The experiment is conducted by using samples of face image for eight subjects. There are six facial expressions; anger, fear, happy, neutral, sadness and surprise are used in this study. In this experiment, we use different poses and head postures of each subject. Experiment results demonstrated the reduced dimensions of Gabor features could be effectively used in the next processing for recognizing facial expressions.

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A study of dimension reduction of Gabor features from different facial expressions

Abstract

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Keywords

ASJC Scopus subject areas

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