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3D shape models are becoming widely available and easier to capture, making available 3D information crucial for progress in object classification. Current state-of-the-art methods rely on CNNs to address this problem. Recently, we witness two types of CNNs being developed: CNNs based upon volumetric representations versus CNNs based upon multi-view(More)
In this report, we proposed a 3D reconstruction method for the full-view fisheye camera. The camera we used is Ri-coh Theta, Fig. 1, which captures spherical images and has a wide field of view (FOV). The conventional stereo appo-rach based on perspective camera model cannot be directly applied and instead we used a spherical camera model to depict the(More)
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