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

CVPR 2018 • Yunpeng Shi • Gilad Lerman

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... (read more)

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