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ICMCS
2006
IEEE

Face Recognition using 3D Summation Invariant Features

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Face Recognition using 3D Summation Invariant Features
In this paper, we developed a family of 2D and 3D invariant features with applications to 3D human faces recognition. The main contributions of this paper are: (a) systematically deriving a family of novel features, called summation invariant that are invariant to Euclidean transformation in both 2D and 3D; (b) developing an effective method to apply summation invariant to the 3D face recognition problem. Tested with the 3D data from the Face Recognition Grand Challenge
Wei-Yang Lin, Kin-Chung Wong, Yu Hu, Nigel Boston
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICMCS
Authors Wei-Yang Lin, Kin-Chung Wong, Yu Hu, Nigel Boston
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