TY - GEN
T1 - Face reconstruction with low resolution facial images by feature vector projection in kernel space
AU - Lee, Sang Woong
AU - Park, Jooyoung
AU - Lee, Seong Whan
PY - 2006
Y1 - 2006
N2 - In spite of increasing interest in person identification based on biometrics, face recognition technology has not been applied into real world. It is caused by appearance changes such as illumination, noise, degradation, and occlusion. Among these problems, we focus on the low resolution problem and propose a new face recognition method of extending the SVDD(support vector data description). In the proposed method, we first solve the SVDD problem for the data belonging to the given prototype facial images, and model the data region for the normal faces as the ball resulting from the SVDD problem. Next, for each input facial image in low resolution, we project its feature vector onto the decision boundary of the SVDD ball so that it can be tailored enough to belong to the normal region. Finally, we synthesize facial images which are obtained from the preimage of the projection, and then perform the face recognition. The applicability of the proposed method is illustrated via some experiments using general recognition algorithm.
AB - In spite of increasing interest in person identification based on biometrics, face recognition technology has not been applied into real world. It is caused by appearance changes such as illumination, noise, degradation, and occlusion. Among these problems, we focus on the low resolution problem and propose a new face recognition method of extending the SVDD(support vector data description). In the proposed method, we first solve the SVDD problem for the data belonging to the given prototype facial images, and model the data region for the normal faces as the ball resulting from the SVDD problem. Next, for each input facial image in low resolution, we project its feature vector onto the decision boundary of the SVDD ball so that it can be tailored enough to belong to the normal region. Finally, we synthesize facial images which are obtained from the preimage of the projection, and then perform the face recognition. The applicability of the proposed method is illustrated via some experiments using general recognition algorithm.
UR - http://www.scopus.com/inward/record.url?scp=34147155754&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34147155754&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2006.533
DO - 10.1109/ICPR.2006.533
M3 - Conference contribution
AN - SCOPUS:34147155754
SN - 0769525210
SN - 9780769525211
T3 - Proceedings - International Conference on Pattern Recognition
SP - 1179
EP - 1182
BT - Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
T2 - 18th International Conference on Pattern Recognition, ICPR 2006
Y2 - 20 August 2006 through 24 August 2006
ER -