(Background) Stereo matching, requires in two images to identify two pixels to be matched each other, in the field of machine vision, this is a difficult, but central task To complete the task, the key is to strengthen pixels characteristics (status)In order to strengthen the characteristics of pixels , has developed combination of the pixel neighborhood features technology, a variety of window matching technology, and matching prominent features of pixels only, for example, the edge pixels in the image, or to match with the Sift technical characteristics of pixels The window matching Technology, in theory, the larger the window, the more prominent features of pixels to be matched, but the resulting: 1. the computational size is increase 2. the windows across the actual object boundary, so that， the same characteristics pixel in the other image is inexistence，making computing more difficult, so two questions The feature matching, can acquire sparse disparity map only, and mat

A_simple_method_to_steoro_match.PDF

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