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Found 4 papers, 1 papers with code
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching
End-to-end deep-learning networks recently demonstrated extremely good perfor- mance for stereo matching.
Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction
Thirdly, it allows to tune deep metric for a particular stereo system, even if ground truth is not available.
Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter
There are many geometric calibration methods for "standard" cameras.
Semi-supervised learning of deep metrics for stereo reconstruction
The main contribution of our work is a new semi-supervised method for learning deep metrics from unlabeled stereo images, given coarse information about the scenes and the optical system.
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