TY - GEN
T1 - Computationally efficient statistical face model in the feature space
AU - Haghighat, Mohammad
AU - Abdel-Mottaleb, Mohamed
AU - Alhalabi, Wadee
PY - 2015/1/19
Y1 - 2015/1/19
N2 - In this paper, we present a computationally efficient statistical face modeling approach. The efficiency of our proposed approach is the result of mathematical simplifications in the core formula of a previous face modeling method and the use of the singular value decomposition. In order to reduce the errors in our resulting models, we preprocess the facial images to normalize for pose and illumination and remove little occlusions. Then, the statistical face models for the enrolled subjects are obtained from the normalized face images. The effects of the variations in pose, facial expression, and illumination on the accuracy of the system are studied. Experimental results demonstrate the reduction in the computational complexity of the new approach and its efficacy in modeling the face images.
AB - In this paper, we present a computationally efficient statistical face modeling approach. The efficiency of our proposed approach is the result of mathematical simplifications in the core formula of a previous face modeling method and the use of the singular value decomposition. In order to reduce the errors in our resulting models, we preprocess the facial images to normalize for pose and illumination and remove little occlusions. Then, the statistical face models for the enrolled subjects are obtained from the normalized face images. The effects of the variations in pose, facial expression, and illumination on the accuracy of the system are studied. Experimental results demonstrate the reduction in the computational complexity of the new approach and its efficacy in modeling the face images.
UR - http://www.scopus.com/inward/record.url?scp=84937924440&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84937924440&partnerID=8YFLogxK
U2 - 10.1109/CIBIM.2014.7015453
DO - 10.1109/CIBIM.2014.7015453
M3 - Conference contribution
AN - SCOPUS:84937924440
T3 - IEEE Workshop on Computational Intelligence in Biometrics and Identity Management, CIBIM
SP - 126
EP - 131
BT - IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIBIM 2014
PB - IEEE Computer Society
T2 - 2014 IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2014 - 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, CIBIM 2014
Y2 - 9 December 2014 through 12 December 2014
ER -