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One main difference for various quasi-dense matching approaches is the different assumptions about local transformations between corresponding patches of two images. The translation is assumed as local transformation for small baseline based approaches, which can not truly reflect the distortion between fisheye patches, and the affine transformation model is usually used for highly distortion images,...
Many conventional stereo matching algorithms use frontal-parallel surface assumption. But in real world, there are many slanted surfaces which are not consistent with the assumption. So, errors are resulted from this assumption. In this paper, to handle slanted surfaces in stereo matching, a probability model is presented. The probability model gives a weight to measure the contributions of neighboring...
3D model is used for vision based vehicle location. An improved Hausdorff distance based on edge-strength is proposed to evaluate the similarity between 3D model projection and image feature, and to establish location optimization function In order to avoid local minimum during optimization, estimation of distribution algorithm concerning related multi-variables is used. The relationship between matching...
The measurement in metric units from a perspective view of a real world object is an important task in many computer vision applications. The goal of the perspective calibration is to map the reference coordinates of the 3D object into the 2D image coordinates. This is usually done by recovering the perspective transformation parameters by presenting to the camera a view of a known calibration pattern...
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