TY - GEN
T1 - Visual language model for face clustering in consumer photos
AU - Chu, Wei Ta
AU - Lee, Ya Lin
AU - Yu, Jen Yu
PY - 2009
Y1 - 2009
N2 - For consumer photos, this work clusters faces with large variations in lighting, pose, and expression. After matching face images by local feature points, we transform matching situations into a novel representation called visual sentences. Then, visual language models are constructed to describe the dependency of image patches on faces. With the probabilistic framework, we develop a clustering algorithm to group the same individual's face images into the same cluster. An interesting observation about evaluating face clustering performance is proposed, and we demonstrate the superiority of the proposed visual language model approach.
AB - For consumer photos, this work clusters faces with large variations in lighting, pose, and expression. After matching face images by local feature points, we transform matching situations into a novel representation called visual sentences. Then, visual language models are constructed to describe the dependency of image patches on faces. With the probabilistic framework, we develop a clustering algorithm to group the same individual's face images into the same cluster. An interesting observation about evaluating face clustering performance is proposed, and we demonstrate the superiority of the proposed visual language model approach.
UR - http://www.scopus.com/inward/record.url?scp=72449181349&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=72449181349&partnerID=8YFLogxK
U2 - 10.1145/1631272.1631372
DO - 10.1145/1631272.1631372
M3 - Conference contribution
AN - SCOPUS:72449181349
SN - 9781605586083
T3 - MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums
SP - 625
EP - 628
BT - MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums
T2 - 17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums
Y2 - 19 October 2009 through 24 October 2009
ER -