DocumentCode
3498789
Title
Haar features for FACS AU recognition
Author
Whitehill, Jacob ; Omlin, Christian W.
Author_Institution
Dept. of Comput. Sci., Western Cape Univ.
fYear
2006
fDate
2-6 April 2006
Lastpage
101
Abstract
We examined the effectiveness of using Haar features and the Adaboost boosting algorithm for FACS action unit (AU) recognition. We evaluated both recognition accuracy and processing time of this new approach compared to the state-of-the-art method of classifying Gabor responses with support vector machines. Empirical results on the Cohn-Kanade facial expression database showed that the Haar+Adaboost method yields AU recognition rates comparable to those of the Gabor+SVM method but operates at least two orders of magnitude more quickly
Keywords
Haar transforms; face recognition; support vector machines; visual databases; Adaboost boosting algorithm; Cohn-Kanade facial expression database; Gabor responses; Haar features; support vector machines; Boosting; Computer vision; Face detection; Face recognition; Feature extraction; Gold; Object recognition; Pixel; Support vector machine classification; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International Conference on
Conference_Location
Southampton
Print_ISBN
0-7695-2503-2
Type
conf
DOI
10.1109/FGR.2006.61
Filename
1613004
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