TY - GEN
T1 - Generic versus salient region-based partitioning for local appearance face recognition
AU - Ekenel, Hazim Keemal
AU - Stiefelhagen, Rainer
PY - 2009
Y1 - 2009
N2 - In this paper, we investigate different partitioning schemes for local appearance-based face recognition. Five different salient region- based partitioning approaches are analyzed and they are compared to a generic partitioning scheme. Extensive experiments have been conducted on the AR, CMU PIE, FRGC, Yale B, and Extend Yale B face databases. The experimental results show that generic partitioning provides better performance than salient region-based partitioning schemes.
AB - In this paper, we investigate different partitioning schemes for local appearance-based face recognition. Five different salient region- based partitioning approaches are analyzed and they are compared to a generic partitioning scheme. Extensive experiments have been conducted on the AR, CMU PIE, FRGC, Yale B, and Extend Yale B face databases. The experimental results show that generic partitioning provides better performance than salient region-based partitioning schemes.
UR - http://www.scopus.com/inward/record.url?scp=69949128693&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=69949128693&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-01793-3_38
DO - 10.1007/978-3-642-01793-3_38
M3 - Conference contribution
AN - SCOPUS:69949128693
SN - 3642017924
SN - 9783642017926
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 367
EP - 375
BT - Advances in Biometrics - Third International Conference, ICB 2009, Proceedings
T2 - 3rd International Conference on Advances in Biometrics, ICB 2009
Y2 - 2 June 2009 through 5 June 2009
ER -