Side-View Face Recognition


Santemiz, Pinar and Spreeuwers, Luuk J. and Veldhuis, Raymond N.J. (2011) Side-View Face Recognition. In: 32nd Symposium on Information Theory in the Benelux, WIC 2011, 10-11 May 2011, Brussels, Belgium (pp. pp. 305-312).

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Abstract:As a widely used biometrics, face recognition has many advantages such as being non-intrusive, natural and passive. On the other hand, in real-life scenarios with uncontrolled environment, pose variation up to side-view positions makes face recognition a challenging work. In this paper we discuss the use of side-view face recognition in house safety applications. Our goal is to recognize people as they pass through doors in order to estimate their location in the house. In order to preserve privacy of the people we attach our cameras on the door posts to limit the view, and deal with side-view face images. Here, we review current methods for side-view face recognition, compare available databases to be used for our task, and introduce a new method, where we use manually labeled landmarks for registration and warp the image to obtain shape-free face images. We test our system on side-view face images from CMU-Multi PIE database, and analyze our initial results.
Item Type:Conference or Workshop Item
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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