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REMODE: Probabilistic, monocular dense reconstruction in real time
2014
2014 IEEE International Conference on Robotics and Automation (ICRA)
In this paper, we solve the problem of estimating dense and accurate depth maps from a single moving camera. A probabilistic depth measurement is carried out in real time on a per-pixel basis and the computed uncertainty is used to reject erroneous estimations and provide live feedback on the reconstruction progress. Our contribution is a novel approach to depth map computation that combines Bayesian estimation and recent development on convex optimization for image processing. We demonstrate
doi:10.1109/icra.2014.6907233
dblp:conf/icra/PizzoliFS14
fatcat:7vjx2dhbcnemtkccw4q5xtc4du