Summary

Proceedings of the 2012 International Symposium on Nonlinear Theory and its Applications

2012

Session Number:A2L-A

Session:

Number:78

Facial Expression Recognition with Individual Adjustment

Koichi Takahashi,  Yasue Mitsukura,  

pp.78-81

Publication Date:

Online ISSN:2188-5079

DOI:10.15248/proc.1.78

PDF download (674.2KB)

In this paper, we propose a new method for individual adjustments of facial expression recognition. Facial expression recognition is not only a fundamental study in computer vision research, but also can be used to various applications such as avatar systems. We also aim to develop facial expression recognition methods for designing accurate and easy to use applications. However, individual adjustments are required for accurate recognition since each person has different shape of the face. Therefore, we propose a new method for individual adjustments of facial expression recognition. Our proposed method is able to calibrate individual differences easily by using an impersonal smiling intensity function and a scale factor which can impersonalize the personal properties.

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