Estimation of Camera Locations in Highly Corrupted Scenarios: All About that Base, No Shape Trouble

Yunpeng Shi; Gilad Lerman

doi:10.1109/cvpr.2018.00303

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arXiv · 1804.02591

Estimation of Camera Locations in Highly Corrupted Scenarios: All About that Base, No Shape Trouble

Yunpeng Shi·Gilad Lerman

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Abstract

We 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.

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BibTeX RIS

Yunpeng Shi, Gilad Lerman. 2018-04-07. Estimation of Camera Locations in Highly Corrupted Scenarios: All About that Base, No Shape Trouble. https://doi.org/10.1109/cvpr.2018.00303

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