TY - GEN
T1 - Using context information and local feature points in face clustering for consumer photos
AU - Chu, Wei Ta
AU - Lee, Ya Lin
AU - Yu, Jen Yu
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - We introduce local feature points to achieve face clustering for consumer photos. After combining eigenfaces with context information like clothes, we further investigate the usage of local feature points to match face images. The relationships between face images are constructed by feature matching and then described as a graph. Outliers in the results of preliminary clustering are detected and are reclustered according to matching characteristics. We report complete performance comparison for different datasets and show that the proposed method has superior performance than conventional approaches.
AB - We introduce local feature points to achieve face clustering for consumer photos. After combining eigenfaces with context information like clothes, we further investigate the usage of local feature points to match face images. The relationships between face images are constructed by feature matching and then described as a graph. Outliers in the results of preliminary clustering are detected and are reclustered according to matching characteristics. We report complete performance comparison for different datasets and show that the proposed method has superior performance than conventional approaches.
UR - http://www.scopus.com/inward/record.url?scp=70349210340&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349210340&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2009.4959790
DO - 10.1109/ICASSP.2009.4959790
M3 - Conference contribution
AN - SCOPUS:70349210340
SN - 9781424423545
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1141
EP - 1144
BT - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
T2 - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Y2 - 19 April 2009 through 24 April 2009
ER -