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3D Shape-based Face Recognition using Automatically Registered Facial Surfaces

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3D Shape-based Face Recognition using Automatically Registered Facial Surfaces
In this paper, we address the use of three dimensional facial shape information for human face identification. We propose a new method to represent faces as 3D registered point clouds. Fine registration of facial surfaces is done by first automatically finding important facial landmarks and then, establishing a dense correspondence between points on the facial surface with the help of a 3D face template? aided thin plate spline algorithm. After the registration of facial surfaces, similarity between two faces is defined as a discrete approximation of the volume difference between facial surfaces. Experiments done on the 3D RMA dataset show that the proposed algorithm performs as good as the point signature method, and it is statistically superior to the point distribution model?based method and the 2D depth imagery technique. In terms of computational complexity, the proposed algorithm is faster than the point signature method.
Berk Gökberk, Lale Akarun, M. Okan Irfanoglu
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Berk Gökberk, Lale Akarun, M. Okan Irfanoglu
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