TY - GEN
T1 - Multi-resolution local appearance-based face verification
AU - Gao, Hua
AU - Ekenel, Hazim Kemal
AU - Fischer, Mika
AU - Stiefelhagen, Rainer
PY - 2010
Y1 - 2010
N2 - Facial analysis based on local regions / blocks usually outperforms holistic approaches because it is less sensitive to local deformations and occlusions. Moreover, modeling local features enables us to avoid the problem of high dimensionality of feature space. In this paper, we model the local face blocks with Gabor features and project them into a discriminant identity space. The similarity score of a face pair is determined by fusion of the local classifiers. To acquire complementary information in different scales of face images, we integrate the local decisions from various image resolutions. The proposed multi-resolution block based face verification system is evaluated on the experiment 4 of Face Recognition Grand Challenge (FRGC) version 2.0. We obtained 92.5% verification rate @ 0.1% FAR, which is the highest performance reported on this experiment so far in the literature.
AB - Facial analysis based on local regions / blocks usually outperforms holistic approaches because it is less sensitive to local deformations and occlusions. Moreover, modeling local features enables us to avoid the problem of high dimensionality of feature space. In this paper, we model the local face blocks with Gabor features and project them into a discriminant identity space. The similarity score of a face pair is determined by fusion of the local classifiers. To acquire complementary information in different scales of face images, we integrate the local decisions from various image resolutions. The proposed multi-resolution block based face verification system is evaluated on the experiment 4 of Face Recognition Grand Challenge (FRGC) version 2.0. We obtained 92.5% verification rate @ 0.1% FAR, which is the highest performance reported on this experiment so far in the literature.
KW - Face verification
KW - Gabor filter
KW - Local appearance representation
KW - Multi-resolution
UR - http://www.scopus.com/inward/record.url?scp=78149472075&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78149472075&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2010.371
DO - 10.1109/ICPR.2010.371
M3 - Conference contribution
AN - SCOPUS:78149472075
SN - 9780769541099
T3 - Proceedings - International Conference on Pattern Recognition
SP - 1501
EP - 1504
BT - Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
T2 - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Y2 - 23 August 2010 through 26 August 2010
ER -