Efficient Recognition of Authentic Dynamic Facial Expressions on the Feedtum Database

Author

Wallhoff, Frank ; Schuller, Björn ; Hawellek, Michael ; Rigoll, Gerhard

Author_Institution

Inst. for Human-Machine Interaction, Technische Univ. Munchen

fYear

2006

fDate

9-12 July 2006

Firstpage

493

Lastpage

496

Abstract

In order to allow for fast recognition of a user´s affective state we discuss innovative holistic and self organizing approaches for efficient facial expression analysis. The feature set is thereby formed by global descriptors and MPEG based DCT coefficients. In view of subsequent classification we compare modeling by pseudo multidimensional hidden Markov models and support vector machines. Within the latter case super-vectors are constructed based on sequential floating search methods. Extensive test-runs as a proof of concept are carried out on our publicly available FEEDTUM database consisting of elicited spontaneous emotions of 18 subjects within the MPEG-4 emotion-set plus added neutrality. Maximum recognition performance reaches the benchmark-rate gained by a human perception test with 20 test-persons and manifest the effectiveness of the introduced novel concepts

Keywords

benchmark testing; data compression; discrete cosine transforms; face recognition; hidden Markov models; image classification; image coding; visual databases; visual perception; FEEDTUM database; MPEG based DCT; SVM classification; benchmark-rate; discrete cosine transform; facial expression recognition; feature set; global descriptor; human perception test; pseudo multidimensional hidden Markov model; support vector machine; Discrete cosine transforms; Face recognition; Hidden Markov models; Multidimensional systems; Organizing; Search methods; Spatial databases; Support vector machine classification; Support vector machines; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2006 IEEE International Conference on

Conference_Location

Toronto, Ont.

Print_ISBN

1-4244-0366-7

Electronic_ISBN

1-4244-0367-7

Type

conf

DOI

10.1109/ICME.2006.262433

Filename

4036644