Title :
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
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;
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
DOI :
10.1109/ICME.2006.262433
