Title :
Haar features for FACS AU recognition
Author :
Whitehill, Jacob ; Omlin, Christian W.
Author_Institution :
Dept. of Comput. Sci., Western Cape Univ.
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;
Conference_Titel :
Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International Conference on
Conference_Location :
Southampton
Print_ISBN :
0-7695-2503-2
DOI :
10.1109/FGR.2006.61
