Face feature extraction from spatial frequency for dynamic expression recognition

Tatsumi Sakaguchi, Shigeo Morishima

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationTrack C
Subtitle of host publicationApplications and Robotic Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages451-455
Number of pages5
ISBN (Print)081867282X, 9780818672828
DOIs
Publication statusPublished - 1996 Jan 1
Event13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: 1996 Aug 251996 Aug 29

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume3
ISSN (Print)1051-4651

Conference

Conference13th International Conference on Pattern Recognition, ICPR 1996
CountryAustria
CityVienna
Period96/8/2596/8/29

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Sakaguchi, T., & Morishima, S. (1996). Face feature extraction from spatial frequency for dynamic expression recognition. In Track C: Applications and Robotic Systems (pp. 451-455). [546988] (Proceedings - International Conference on Pattern Recognition; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.1996.546988