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Although light field data provides abundant cues for depth estimation, light field depth estimation suffers from occlusion and uncertain edges. In this paper, we propose occlusion robust light field depth estimation using segmentation guided bilateral filtering. First, we calculate refocused images from light field data using digital refocusing. Second, we perform support vector machines (SVM) classification...
In stereo matching, it is a challengeable task to effectively deal with occlusions between objects, which often cause disparity errors along object boundaries. In this paper, we propose discontinuity-preserving stereo matching based on reliability. We first estimate an initial disparity map by segmentation-based adaptive weights. Then, we obtain reliability for each pixel in an image, which indicates...
Semi-automatic 2D-to-3D conversion is preferred for its advantage of handling the trade-off between human participation and 3D conversion effects. In this paper, we propose a novel depth propagation algorithm for semi-automatic 2D-to-3D conversion based on an adaptive image-guided autoregressive (AR) model joint superpixel matching. Firstly, we perform superpixel matching to estimate motion vectors...
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