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We propose a 3D structure estimation framework that adopts the slanted-planes representation in order to provide a dense estimation. The proposed approach fuses sparse 3D reconstructed point cloud obtained using several feature matching methods and noisy dense optical flow in order to perform accurate structure fitting and visually appealing results. We formulate the problem as a weighted total least...
We present an adaptive weight based superpixel segmentation method for the goal of creating mesh representation that respects the 3D scene structure. We propose a new fusion framework which employs both dense optical flow and color images to compute the probability of boundaries. The main contribution of this work is that we introduce a new color and optical flow pixel-wise weighting model that takes...
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