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Estimation of Camera Locations in Highly Corrupted Scenarios: All About That Base, No Shape Trouble
AbstractWe propose a strategy for improving camera location estimation in structure from motion. Our setting assumes highly corrupted pairwise directions (i.e., normalized relative location vectors), so there is a clear room for improving current state-of-the-art solutions for this problem. Our strategy identifies severely corrupted pairwise directions by using a geometric consistency condition. It then selects a cleaner set of pairwise directions as a preprocessing step for common solvers. We theoretically guarantee the successful performance of a basic version of our strategy under a synthetic corruption model. Numerical results on artificial and real data demonstrate the significant improvement obtained by our strategy.
Related Material
[pdf] [supp] [arXiv][bibtex]@InProceedings{Shi_2018_CVPR,
author = {Shi, Yunpeng and Lerman, Gilad},
title = {Estimation of Camera Locations in Highly Corrupted Scenarios: All About That Base, No Shape Trouble},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
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