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Computer vision: reconstructing 3-D model from 2-D images

机译:计算机视觉:从2D图像重建3D模型

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Abstract: A comprehensive algorithm for the reconstruction of a three- dimensional model from a pair of two-dimensional images is presented in this paper. The dynamic programming matching based on the 'bridging method' are guided by the results of feature- based matching. In the process of feature-based matching, the mathematic morphology is introduced to describe the feature extracted out. In those areas without distinct feature points, area-based correlation is applied to get the fine location of the corresponding points. At last, the constraints in two directions are introduced to check out the mismatched points.!8
机译:摘要:本文提出了一种从一对二维图像中重建三维模型的综合算法。基于“桥接方法”的动态编程匹配以基于特征的匹配结果为指导。在基于特征的匹配过程中,引入了数学形态学来描述提取出的特征。在那些没有明显特征点的区域中,将应用基于区域的相关性来获得相应点的精确位置。最后,引入两个方向的约束条件以检查不匹配点。!8

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