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ICB
2009
Springer

3D Signatures for Fast 3D Face Recognition

10 years 1 months ago
3D Signatures for Fast 3D Face Recognition
We propose a vector representation (called a 3D signature) for 3D face shape in biometrics applications. Elements of the vector correspond to fixed surface points in a face-centered coordinate system. Since the elements are registered to the face, comparisons of vectors to produce match scores can be performed without a probe to gallery alignment step such as an invocation of the iterated closest point (ICP) algorithm in the calculation of each match score. The proposed 3D face recognition method employing the 3D signature ran more than three orders of magnitude faster than a traditional ICP based distance implementation, without sacrificing accuracy. As a result, it is feasible to apply distance based 3D face biometrics to recognition scenarios that, because of computational constraints, may have previously been limited to verification. Our use of more complex shape regions, which is a trivial task with the use of 3D signatures, improves biometric performance over simple spherical cut...
Chris Boehnen, Tanya Peters, Patrick J. Flynn
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where ICB
Authors Chris Boehnen, Tanya Peters, Patrick J. Flynn
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