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Ear biometrics, especially 3D ear biometrics has shown its potential in recent works. Actually, most existing 3D ear recognition methods require two kinds of ear data to work: one is 3D range data, and the other is 2D ear colour image which should be the same size and well aligned to the 3D range data. In this work, different from existing ways, under strip point cloud data environment we provide...
In this work, a variant of sparse representation based classification - near subspace classification for multi-view ear recognition is well investigated. And a global samples pseudo inverse representation based classification approach is also presented as an experimental proof with the reduction to absurdity strategy on its hypothesis that test sample lies on a subspace spanned by training samples...
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