Web: http://arxiv.org/abs/2209.06525

Sept. 15, 2022, 1:13 a.m. | Dominik Hirner, Friedrich Fraundorfer

cs.CV updates on arXiv.org arxiv.org

We propose an accurate and lightweight convolutional neural network for
stereo estimation with depth completion. We name this method
fully-convolutional deformable similarity network with depth completion
(FCDSN-DC). This method extends FC-DCNN by improving the feature extractor,
adding a network structure for training highly accurate similarity functions
and a network structure for filling inconsistent disparity estimates. The whole
method consists of three parts. The first part consists of fully-convolutional
densely connected layers that computes expressive features of rectified image
pairs. The …

arxiv convolutional neural network network neural network

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