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| October 25
 
| October 25
 
| Yi-Chen Chen
 
| Yi-Chen Chen
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| Dictionary-based Face Recognition from Video
 
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| November 1
 
| November 1
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Speaker: [http://www.umiacs.umd.edu/~ashish/ Ashish Shrivastava] -- Date: October 18, 2012
 
Speaker: [http://www.umiacs.umd.edu/~ashish/ Ashish Shrivastava] -- Date: October 18, 2012
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===Dictionary-based Face Recognition from Video===
 
Speaker: Yi-Chen Chen -- Date: October 25, 2012
 
Speaker: Yi-Chen Chen -- Date: October 25, 2012
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The main challenge in recognizing faces in video is effectively exploiting the multiple frames of a face and the accompanying dynamic signature. One prominent method is based on extracting joint appearance and behavioral features. A second method models a person by temporal correlations of features in a video. Our approach introduces the concept of video-dictionaries for face recognition, which generalizes the work in sparse representation and dictionaries for faces in still images. Video-dictionaries are designed to implicitly encode temporal, pose, and illumination information. We demonstrate our method on the Face and Ocular Challenge Series (FOCS), which consists of unconstrained video sequences. We show that our method is efficient and performs significantly better than many competitive video-based face recognition algorithms.
    
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