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Optimal Relative Pose With Unknown Correspondences

CVPR 2016 · Learning theory and algorithms › Combinatorial and search optimization · approach: Globally optimal geometric optimization · 17 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Allow multiple sufficiently good candidate matches instead of requiring unambiguous symmetric matchesProposed relative-pose method · KITTI 0005rotation error (degrees): 5.31 -> 2.87Helped
Allow multiple sufficiently good candidate matches instead of requiring unambiguous symmetric matchesProposed relative-pose method · KITTI 0005translation error (degrees): 13.81 -> 9.99Helped
Allow multiple sufficiently good candidate matches instead of requiring unambiguous symmetric matchesProposed relative-pose method · KITTI 0001, 0015, and 0048rotation error (degrees): 1.97 -> 1.20; 1.71 -> 0.97; 0.62 -> 0.61Mixed
Allow multiple sufficiently good candidate matches instead of requiring unambiguous symmetric matchesProposed relative-pose method · KITTI 0001, 0015, and 0048translation error (degrees): 7.79 -> 4.77; 9.99 -> 5.87; 2.17 -> 2.13Mixed
Include more candidate matches rather than restricting to fewer matchesProposed translation-estimation method · 136 image pairs, varying candidate-match countaverage inliers: 143 -> 724Helped
Use geometric optimization with the 10000 best candidate matches rather than Lowe's restrictive criterionRelative-pose estimation on a repeated-window image pair · Repeated-window image pairinlier count: 27 -> 171Helped

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