TY - GEN
T1 - Facial expression recognition using advanced local binary patterns, Tsallis entropies and global appearance features
AU - Liao, Shu
AU - Fan, Wei
AU - Chung, Albert C.S.
AU - Yeung, Dit Yan
PY - 2006
Y1 - 2006
N2 - This paper proposes a novel facial expression recognition approach based on two sets of features extracted from the face images: texture features and global appearance features. The first set is obtained by using the extended local binary patterns in both intensity and gradient maps and computing the Tsallis entropy of the Gabor filtered responses. The second set of features is obtained by performing null-space based linear discriminant analysis on the training face images. The proposed method is evaluated by extensive experiments on the JAFFE database, and compared with two widely used facial expression recognition approaches. Experimental results show that the proposed approach maintains high recognition rate in a wide range of resolution levels and outperforms the other alternative methods.
AB - This paper proposes a novel facial expression recognition approach based on two sets of features extracted from the face images: texture features and global appearance features. The first set is obtained by using the extended local binary patterns in both intensity and gradient maps and computing the Tsallis entropy of the Gabor filtered responses. The second set of features is obtained by performing null-space based linear discriminant analysis on the training face images. The proposed method is evaluated by extensive experiments on the JAFFE database, and compared with two widely used facial expression recognition approaches. Experimental results show that the proposed approach maintains high recognition rate in a wide range of resolution levels and outperforms the other alternative methods.
KW - Face recognition
KW - Machine vision
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000245768500167
UR - https://openalex.org/W2015101458
UR - https://www.scopus.com/pages/publications/48049097292
U2 - 10.1109/ICIP.2006.312418
DO - 10.1109/ICIP.2006.312418
M3 - Conference Paper published in a book
SN - 1424404819
SN - 9781424404810
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 665
EP - 668
BT - 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
T2 - 2006 IEEE International Conference on Image Processing, ICIP 2006
Y2 - 8 October 2006 through 11 October 2006
ER -