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A feature extraction method, named as centralized Gabor gradient histogram (CGGH), was proposed for facial gender recognition. By combining centralized binary pattern (CBP) and Gabor gradient magnitude, CGGH captures discriminative information at different scales and orientations. Moreover, the center-based nearest neighbor (CNN) classifier was selected to do the final classification, which was superior...
Gathering a large collection of images has been made quite easy by social and image sharing websites, e.g. flickr.com. However, using such collections faces the problem that they contain a large number of duplicates and highly similar images. This work tackles the problem of how to automatically organize image collections into sets of similar images, called image families hereinafter. We thoroughly...
In this paper, the matching of SIFT-like features [5] between images is studied. The goal is to decide which matches between descriptors of two datasets should be selected. This matching procedure is often a preliminary step towards some computer vision applications, such as object detection and image registration for instance. The distances between the query descriptors and the database candidates...
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