Detecting facial expressions from face images using a genetic algorithm

Jun Ohya, Fumio Kishino

研究成果

3 被引用数 (Scopus)

抄録

A new method to detect deformations of facial parts from a face image regardless of changes in the position and orientation of a face using the genetic algorithm is proposed. Facial expression parameters that are used to deform and position a 3D face model are assigned to the genes of an individual in a population. The face model is deformed and positioned according to the gene values of each individual and is observed by a virtual camera, and a face image is synthesized. The fitness which evaluates to what extent the real and synthesized face images are similar to each other is calculated. After this process is repeated for sufficient generations, the parameter estimation is obtained from the genes of the individual with the best fitness. Experimental results demonstrate the effectiveness of the method.

本文言語English
ホスト出版物のタイトルTrack C
ホスト出版物のサブタイトルApplications and Robotic Systems
出版社Institute of Electrical and Electronics Engineers Inc.
ページ649-653
ページ数5
ISBN(印刷版)081867282X, 9780818672828
DOI
出版ステータスPublished - 1996 1 1
外部発表はい
イベント13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
継続期間: 1996 8 251996 8 29

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
3
ISSN(印刷版)1051-4651

Conference

Conference13th International Conference on Pattern Recognition, ICPR 1996
国/地域Austria
CityVienna
Period96/8/2596/8/29

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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