Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
849240 | Optik - International Journal for Light and Electron Optics | 2013 | 4 Pages |
Abstract
In this paper, we present a collaborative representation-based classification on selected training samples (CRC_STS) for face image recognition. The CRC_STS uses a two stage scheme: The first stage is to select some most significant training samples from the original training set by using a multiple round of refining process. The second stage is to use collaborative representation classifier to perform classification on the selected training samples. Our method can be regarded as a sparse representation approach but without imposing l1-norm constraint on representation coefficients. The experimental results on three well known face databases show that our method works very well.
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Authors
Jian-Xun Mi,