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Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences
Besides, when the global minimizer is the solution, our algorithm achieves the same accuracy as previous algorithms that have guaranteed global optimality, but our algorithm is applicable to real-time applications.
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss
In this paper, we introduce a bundle adjustment framework and a super-resolution network to solve the above two problems.
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