Facial expression recognition by analyzing features of conceptual regions

Huiquan Zhang, Sha Luo, Osamu Yoshie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings
Pages529-534
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Niigata
Duration: 2013 Jun 162013 Jun 20

Other

Other2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013
CityNiigata
Period13/6/1613/6/20

Fingerprint

Human computer interaction
Animation

Keywords

  • conceptual regions
  • Facial expression recognition
  • image segmentation
  • local binary pattern

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems

Cite this

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

Facial expression recognition by analyzing features of conceptual regions. / Zhang, Huiquan; Luo, Sha; Yoshie, Osamu.

2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings. 2013. p. 529-534 6607893.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, H, Luo, S & Yoshie, O 2013, Facial expression recognition by analyzing features of conceptual regions. in 2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings., 6607893, pp. 529-534, 2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013, Niigata, 13/6/16. https://doi.org/10.1109/ICIS.2013.6607893
Zhang H, Luo S, Yoshie O. Facial expression recognition by analyzing features of conceptual regions. In 2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings. 2013. p. 529-534. 6607893 https://doi.org/10.1109/ICIS.2013.6607893
Zhang, Huiquan ; Luo, Sha ; Yoshie, Osamu. / Facial expression recognition by analyzing features of conceptual regions. 2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings. 2013. pp. 529-534
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