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The problem of image classification remains to be a major challenge to the computer vision community. In this paper, we propose a new classifier architecture based on multiresolution wavelet network learnt by fast wavelet transform including a fuzzy decision support system (FWN-FDSS). The proposed classifier has many advantages compared to other ones. It is characterized by its new method of computing...
Feature detection and tracking is an important problem in Computer Vision. Corners in an image are a good indication of features to track. Original algorithms may be expensive even on multicore architectures because they require full convolutions to be performed. Although these can be performed in real time in modern GPUs and multicore CPUs, faster solutions are needed for embedded systems and complex...
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