3 Result(s)
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Chapter and Conference Paper
DRLFNet: A Dense-Connection Residual Learning Neural Network for Light Field Super Resolution
Light field records both spatial and angular information of light rays. By using light field cameras, 3D scenes can be reconstructed easily for further virtual reality applications. Limited by the sensor size,...
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Chapter and Conference Paper
Fast Light Field Reconstruction with Deep Coarse-to-Fine Modeling of Spatial-Angular Clues
Densely-sampled light fields (LFs) are beneficial to many applications such as depth inference and post-capture refocusing. However, it is costly and challenging to capture them. In this paper, we propose a le...
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Chapter and Conference Paper
Random Forest with Suppressed Leaves for Hough Voting
Random forest based Hough-voting techniques have been widely used in a variety of computer vision problems. As an ensemble learning method, the voting weights of leaf nodes in random forest play critical role ...
