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CVPR
2001
IEEE

Face Verification Using Error Correcting Output Codes

10 years 1 months ago
Face Verification Using Error Correcting Output Codes
The Error Correcting Output Coding (ECOC) approach to classifier design decomposes a multi-class problem into a set of complementary two-class problems. We show how to apply the ECOC concept to automatic face verification, which is inherently a two-class problem. The output of the binary classifiers defines the ECOC feature space, in which it is easier to separate transformed patterns representing clients and impostors. We propose two different combining strategies as the matching score for face verification. The first uses the first order Minkowski metric, and requires a threshold to be set. The second is a kernel-based method and has no parameters to set. The proposed method exhibits better performance on the well known XM2VTS data set compared with previous reported results.
Josef Kittler, Reza Ghaderi, Terry Windeatt, Jiri
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 2001
Where CVPR
Authors Josef Kittler, Reza Ghaderi, Terry Windeatt, Jiri Matas
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