JSAI2022

Presentation information

Organized Session

Organized Session » OS-12

[3H4-OS-12b] グループインタラクションとAI(2/2)

Thu. Jun 16, 2022 3:30 PM - 5:10 PM Room H (Room H)

オーガナイザ:酒造 正樹(東京電機大学)[現地]、湯浅 将英(湘南工科大学)、岡田 将吾(北陸先端科学技術大学院大学)、酒井 元気(日本大学)、近藤 一晃(京都大学)、中野 有紀子(成蹊大学)

3:50 PM - 4:10 PM

[3H4-OS-12b-02] Constructing an evaluation space for smile intensity using reference images

〇Kei Shimonishi1, Kasuaki Kondo1, Junyao Zhang1, Yuichi Nakamura1 (1. Kyoto University)

Keywords:Facial expression recognition, Siamese Network, Ordinal Scales

Traditional frameworks of smile detection mainly focus on identifying whether a smile is expressed or not. In contrast, the objective of our research is to determine the degree to which a smile is expressed. The previously developed method of the evaluation of smiling based on the ordinal scales has a limitation of being time consuming due to a large number of comparisons. To overcome the limitation, we propose a method using reference images chosen from an evaluation space of smiling. Once the evaluation space is constructed by a large dataset of smiling, reference images can be chosen based on consistency of its evaluation values with other images. With these reference images, we can evaluate new face images in a short time. We show an example of reference images and evaluated face images using the reference images.

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