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Stereo matching is a challenging problem with respect to weak texture, discontinuities, illumination difference and occlusions. Therefore, a deep learning framework is presented in this paper, which focuses on the first and last stage of typical stereo methods: the matching cost computation and the disparity refinement. For matching cost computation, two patch-based network architectures are exploited...
Recent progress in free space estimation provides precise segmentation between the ground and obstacles on flat plane. However, it remains challenging on nonflat plane, especially with the varying latitudinal and longitudinal slope or in the case of multiground plane. This letter presents a well-integrated framework for free space estimation in this challenge. Our approach couples an improved V-disparity...
Scale variant is a big problem for wide area security and the target can only be tracked within limited area. To solve this problem, this paper is going to introduce a scale invariant algorithm of zoom control using depth which is calculated by stereo camera. We proposed a wide area tracking system consists of three tracking functions, including the first saccade, second saccade and smooth pursuit...
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