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Information in the frequency domain is useful in image classification. For natural scene classification, Oliva and Torralba proposed a global feature by sampling the power spectrum of the filtered image. In this paper, we present a hybrid global feature for scene classification. To capture the textural characteristics of the image in the frequency domain, we propose two feature extraction strategies...
At present there are many methods that could deal well with frontal view face recognition. However, most of them cannot work well when there is only single example image per person. In order to deal with this problem of single example image per person is stored in the system in the real-world application. In this paper, a comparative study of the AFMT, Fourier-AFMT and Taylor-AFMT are identified for...
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