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 a...

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Bibliographic Details
Published in2009 16th IEEE International Conference on Image Processing (ICIP) pp. 4141 - 4144
Main Authors Rara, H.M., Elhabian, S.Y., Ali, A.M., Miller, M., Starr, T.L., Farag, A.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Active appearance model
Charge coupled devices
Charge-coupled image sensors
Data mining
Face detection
Face recognition
Feature extraction
Humans
Image reconstruction
Stereo image processing
stereo-reconstruction
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Summary: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; stereo-based 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-the-art [3].
ISBN:9781424456536
1424456533
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2009.5413467