Face feature extraction from spatial frequency for dynamic expression recognition

Tatsumi Sakaguchi; Shigeo Morishima

doi:10.1109/ICPR.1996.546988

Face feature extraction from spatial frequency for dynamic expression recognition

Tatsumi Sakaguchi, Shigeo Morishima

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

4 Citations (Scopus)

Abstract

A new facial feature extraction technique for expression recognition is proposed. We employ the spatial frequency domain information to obtain robust performance to the random noise on a image or the lighting conditions. It exhibited high ability sufficiently even if combined with a low-performance region tracking method. As an application of this technique, we have constructed a dynamic facial expression recognition system. We use hidden Markov models to utilize temporal changes in the facial expressions. The spatial frequency information and the temporal information make better rates of facial expression recognition. In the experiment, we established a correct response rate of approximately 84.1% of recognition with six categories.

Original language	English
Title of host publication	Track C
Subtitle of host publication	Applications and Robotic Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	451-455
Number of pages	5
ISBN (Print)	081867282X, 9780818672828
DOIs	https://doi.org/10.1109/ICPR.1996.546988
Publication status	Published - 1996
Externally published	Yes
Event	13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria Duration: 1996 Aug 25 → 1996 Aug 29

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	3
ISSN (Print)	1051-4651

Conference

Conference	13th International Conference on Pattern Recognition, ICPR 1996
Country/Territory	Austria
City	Vienna
Period	96/8/25 → 96/8/29

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICPR.1996.546988

Cite this

Face feature extraction from spatial frequency for dynamic expression recognition. / Sakaguchi, Tatsumi; Morishima, Shigeo.
Track C: Applications and Robotic Systems. Institute of Electrical and Electronics Engineers Inc., 1996. p. 451-455 546988 (Proceedings - International Conference on Pattern Recognition; Vol. 3).

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

Sakaguchi, T & Morishima, S 1996, Face feature extraction from spatial frequency for dynamic expression recognition. in Track C: Applications and Robotic Systems., 546988, Proceedings - International Conference on Pattern Recognition, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 451-455, 13th International Conference on Pattern Recognition, ICPR 1996, Vienna, Austria, 96/8/25. https://doi.org/10.1109/ICPR.1996.546988

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abstract = "A new facial feature extraction technique for expression recognition is proposed. We employ the spatial frequency domain information to obtain robust performance to the random noise on a image or the lighting conditions. It exhibited high ability sufficiently even if combined with a low-performance region tracking method. As an application of this technique, we have constructed a dynamic facial expression recognition system. We use hidden Markov models to utilize temporal changes in the facial expressions. The spatial frequency information and the temporal information make better rates of facial expression recognition. In the experiment, we established a correct response rate of approximately 84.1% of recognition with six categories.",

author = "Tatsumi Sakaguchi and Shigeo Morishima",

year = "1996",

doi = "10.1109/ICPR.1996.546988",

language = "English",

isbn = "081867282X",

series = "Proceedings - International Conference on Pattern Recognition",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AU - Morishima, Shigeo

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N2 - A new facial feature extraction technique for expression recognition is proposed. We employ the spatial frequency domain information to obtain robust performance to the random noise on a image or the lighting conditions. It exhibited high ability sufficiently even if combined with a low-performance region tracking method. As an application of this technique, we have constructed a dynamic facial expression recognition system. We use hidden Markov models to utilize temporal changes in the facial expressions. The spatial frequency information and the temporal information make better rates of facial expression recognition. In the experiment, we established a correct response rate of approximately 84.1% of recognition with six categories.

AB - A new facial feature extraction technique for expression recognition is proposed. We employ the spatial frequency domain information to obtain robust performance to the random noise on a image or the lighting conditions. It exhibited high ability sufficiently even if combined with a low-performance region tracking method. As an application of this technique, we have constructed a dynamic facial expression recognition system. We use hidden Markov models to utilize temporal changes in the facial expressions. The spatial frequency information and the temporal information make better rates of facial expression recognition. In the experiment, we established a correct response rate of approximately 84.1% of recognition with six categories.

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M3 - Conference contribution

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T3 - Proceedings - International Conference on Pattern Recognition

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BT - Track C

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th International Conference on Pattern Recognition, ICPR 1996

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Face feature extraction from spatial frequency for dynamic expression recognition

Abstract

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Conference

ASJC Scopus subject areas

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