Facial expression recognition by analyzing features of conceptual regions

Huiquan Zhang, Sha Luo, Osamu Yoshie

研究成果: Conference contribution

4 引用 (Scopus)

抜粋

Facial expression recognition utilizes collection of information from characteristic actions to analyze emotions and mental states of a person. It has emerged as the pivotal research topics in areas such as human computer interaction, sentimental analysis and synthetic face animation over the last years. This paper proposes an approach for facial expression by discovering associations between visual feature and Local Binary Pattern (LBP). Unlike many previous studies, the proposed approach automatically tracks the facial area and segments face into meaningful areas based on description of Local Binary Pattern. And then it accumulates the probabilities throughout the frames from video data to capture the temporal characteristics of facial expressions by analyzing facial expressions. Through the proposed approach, the temporal variation of facial expression can be quantified in individual areas. Thus, the recognition process of facial expression tends to be more comprehensible without sacrificing results of recognition. The empirical evaluation results of the approach are realized using video data which is collected from 10 volunteers. The results demonstrated that the proposed approach can effectively segment face into specific area and recognize facial expression.

元の言語English
ホスト出版物のタイトル2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings
ページ529-534
ページ数6
DOI
出版物ステータスPublished - 2013 10 31
イベント2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Niigata, Japan
継続期間: 2013 6 162013 6 20

出版物シリーズ

名前2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings

Conference

Conference2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013
Japan
Niigata
期間13/6/1613/6/20

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems

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  • これを引用

    Zhang, H., Luo, S., & Yoshie, O. (2013). Facial expression recognition by analyzing features of conceptual regions. : 2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings (pp. 529-534). [6607893] (2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings). https://doi.org/10.1109/ICIS.2013.6607893