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142

ICMCS
2006
IEEE

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Face Recognition using 3D Summation Invariant Features

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Face Recognition using 3D Summation Invariant Features

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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

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Face Recognition | ICMCS 2006 | Invariant Features | Summation Invariant |

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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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