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The emergence of depth images opens a new dimension to address the challenging object recognition tasks. However, when only a small amount of labeled data is available, we cannot learn a discriminative classifier directly using the RGB-D images. To cope with this problem, we proposed a new method, Learning Coupled Classifiers with RGB images for RGB-D object recognition (LCCRRD). We learn the coupled...
Face recognition (FR) plays an important role in video surveillance by allowing to accurately recognize individuals of interest over a distributed network of cameras. Systems for still-to-video FR are exposed to challenging operational environments. The appearance of faces changes when captured under unconstrained conditions due to variations in pose, scale, illumination, occlusion, blur, etc. Moreover,...
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