TY - GEN
T1 - SVDD-Based illumination compensation for face recognition
AU - Lee, Sang Woong
AU - Lee, Seong Whan
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - Illumination change is one of most important and difficult problems which prevent from applying face recognition to real applications. For solving this, we propose a method to compensate for different illumination conditions based on SVDD(Support Vector Data Description). In the proposed method, we first consider the SVDD training for the data belonging to the facial images under various illuminations, and model the data region for each illumination as the ball resulting from the SVDD training. Next, we compensate for illumination changes using feature vector projection onto the decision boundary of the SVDD ball. Finally, we obtain the pre-image under the identical illumination with input image. By repeated for each person, we can recognize a person with facial images under same illumination. We also perform the face recognition in order to verify the efficacy of proposed method.
AB - Illumination change is one of most important and difficult problems which prevent from applying face recognition to real applications. For solving this, we propose a method to compensate for different illumination conditions based on SVDD(Support Vector Data Description). In the proposed method, we first consider the SVDD training for the data belonging to the facial images under various illuminations, and model the data region for each illumination as the ball resulting from the SVDD training. Next, we compensate for illumination changes using feature vector projection onto the decision boundary of the SVDD ball. Finally, we obtain the pre-image under the identical illumination with input image. By repeated for each person, we can recognize a person with facial images under same illumination. We also perform the face recognition in order to verify the efficacy of proposed method.
KW - Face recognition
KW - Face reconstruction
KW - Illumination compensation
KW - Noise
KW - Support vector data description
UR - http://www.scopus.com/inward/record.url?scp=38049067114&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-74549-5_17
DO - 10.1007/978-3-540-74549-5_17
M3 - Conference contribution
AN - SCOPUS:38049067114
SN - 9783540745488
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 154
EP - 162
BT - Advances in Biometrics - International Conference, ICB 2007, Proceedings
PB - Springer Verlag
T2 - 2007 International Conference on Advances in Biometrics, ICB 2007
Y2 - 27 August 2007 through 29 August 2007
ER -