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Object matching is an important issue for machine vision, object recognition and image analysis. A Hausdorff distance is one of commonly used measures for object matching because it is simple and insensitive to changes of image characteristics. But the conventional Hausdorff distances require high computational complexity and are not suited to the practical applications. In this work, we propose a...
A geometry constraint applicable to natural terrain is derived based on the analysis of lunar surface. With this constraint a multi-stage stereo matching algorithm is presented to provide the fairly accurate and dense disparity map needed for lunar rover autonomous navigation. Points with larger intensity gradient are matched with a multi-feature matching strategy in earlier stages. Then the information...
The goal of designing stereo matching algorithms for lunar rover navigation on natural terrain is to produce disparity maps with both denseness and accuracy. We present a multi-stage matching algorithm in which matching results of points with larger gradient in earlier stages are used to assist in matching of points with smaller gradient in later stages for the purpose of improving matching accuracy...
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