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Scene flow estimation jointly recovers dense scene structure and motion from at least two pairs of stereo images, thus generalizing classical disparity and optical flow estimation. Such a complete description of the scene has many uses in the field of automated driving such as dynamic traffic object detection or infrastructure element detection. Estimation of the structure and motion of each scene...
Recovering 3D depth from a single outdoor image is a basic problem in Computer Vision and Close-Range Photogrammetry. In this paper, an efficient depth estimation approach from a single outdoor image is presented. According to scene classification, depth of regions marked as sky, ground and vertical labels is respectively predicated. Firstly, a more accurate depth calculation model for ground regions...
Light field (LF), a promising representation to describe the visual appearance of a scene, implicitly captures 3D scene geometry. Inspired by this, we exploit the special linear structure of epipolar plane image (EPI) and propose a novel framework for depth estimation for 4D LF. Our approach estimates disparities through locating the optimal slope of each line segmentation on EPIs, which are projected...
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