TY - GEN
T1 - Facial expression classification on web images
AU - Richter, Matthias
AU - Gehrig, Tobias
AU - Ekenel, Hazim Kemal
PY - 2012
Y1 - 2012
N2 - In this paper, we present a novel database which, is obtained from the web. It contains 4761 manually labeled images of seven basic expressions performed by a large number of subjects of different gender, age and ethnicity. Furthermore, we develop feature descriptors based on the discrete cosine transform (DCT), local binary patterns (LBP), and Gabor filters, which share a uniform formulation in terms of regions around key points. We explore several strategies to find an optimal selection of these key points. The system achieves 86.2%, 85.9% and 84.4% accuracy on the web image database using the Gabor, LBP, and DCT descriptors, respectively.
AB - In this paper, we present a novel database which, is obtained from the web. It contains 4761 manually labeled images of seven basic expressions performed by a large number of subjects of different gender, age and ethnicity. Furthermore, we develop feature descriptors based on the discrete cosine transform (DCT), local binary patterns (LBP), and Gabor filters, which share a uniform formulation in terms of regions around key points. We explore several strategies to find an optimal selection of these key points. The system achieves 86.2%, 85.9% and 84.4% accuracy on the web image database using the Gabor, LBP, and DCT descriptors, respectively.
UR - https://www.scopus.com/pages/publications/84874580151
M3 - Conference contribution
AN - SCOPUS:84874580151
SN - 9784990644109
T3 - Proceedings - International Conference on Pattern Recognition
SP - 3517
EP - 3520
BT - ICPR 2012 - 21st International Conference on Pattern Recognition
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International Conference on Pattern Recognition, ICPR 2012
Y2 - 11 November 2012 through 15 November 2012
ER -