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Found 3 papers, 2 papers with code
Real-Time Dense 3D Mapping of Underwater Environments
To address this problem, we propose to use SVIn2, a robust VIO method, together with a real-time 3D reconstruction pipeline.
On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey
Stereo matching is one of the longest-standing problems in computer vision with close to 40 years of studies and research.
CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation
The success of these methods is due to the availability of training data with ground truth; training learning-based systems on these datasets has allowed them to surpass the accuracy of conventional approaches based on heuristics and assumptions.
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