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2009
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Distant face recognition based on sparse-stereo reconstruction

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Distant face recognition based on sparse-stereo reconstruction
We introduce a framework for face recognition at a distance based on sparse-stereo reconstruction. We develop a 3D acquisition system that consists of two CCD stereo cameras mounted on pan-tilt units with adjustable baseline. We first detect the facial region and extract its landmark points, which are used to initialize an AAM mesh fitting algorithm. The fitted mesh vertices provide point correspondences between the left and right images of a stereo pair; stereobased reconstruction is then used to infer the 3D information of the mesh vertices. We perform experiments regarding the use of different features extracted from these vertices for face recognition. The cumulative rank curves (CMC), which are generated using the proposed framework, confirms the feasibility of the proposed work for long distance recognition of human faces with respect to the state-of-theart [3].
Ham M. Rara, Shireen Y. Elhabian, Asem M. Ali, Mik
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where ICIP
Authors Ham M. Rara, Shireen Y. Elhabian, Asem M. Ali, Mike Miller, Thomas L. Starr, Aly A. Farag
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