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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...
Stereoscopic Photography is an art form as well as a science. Producing high quality 3D content needs plenty of vision and creativity while giving due consideration to the technical aspects involved. The control of technical parameters like interaxial distance and convergence angle of stereoscopic camera is essential to the production of aesthetic 3D content. However, it is difficult to determine...
In this paper, an efficient solution is proposed to the problem of 3D reconstruction from two uncalibrated views under Standard Vergence (SV) constraint. This solution consists of three core steps: firstly, set up the camera configuration according to SV constraint; secondly, estimate camera's focal length and relative pose between two views; lastly, reconstruct the scene optimally by minimizing reprojection...
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