Expressive Deformation Profiles for Cross Expression Face Recognition

Li Zhang, Ning Ye, Elisa Martinez Marroquin, Terence Sim

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

1 Citation (Scopus)


Expression based face recognition has been gaining more and more attentions recently. Most traditional expression based face recognition can perform recognition where the probe and gallery have same expressions. In this paper, we propose to use different expressions for recognition. Our proposal exploits the temporal order in the video and extracts the identity signature from deformation and motion separately. This is significantly different from the traditional approaches where temporal consistency is hardly used and motion and deformation are mixed. We conduct our experiments on Cohn-Canade database and the experimental results demonstrate the improvement of the proposal in terms of both accuracy and efficiency. We are pushing the state-of-the-art cross expression based face recognition in this paper
Original languageEnglish
Title of host publicationProceedings of International Conference on Pattern Recognition
Place of PublicationTokyo, Japan
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Print)9784990644109
Publication statusPublished - 2012
Event21st International Conference on Pattern Recognition (ICPR 2012) - Tsukuba, Tsukuba, Japan
Duration: 11 Nov 201215 Nov 2012


Conference21st International Conference on Pattern Recognition (ICPR 2012)
Abbreviated titleICPR 2012


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