Face image recognition via collaborative representation on selected training samples |
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Authors: | Jian-Xun Mi |
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Institution: | 1. Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, Guangdong Province, China;2. Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, Guangdong Province, China |
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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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Keywords: | Face recognition Image processing Machine vision |
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