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Efficient Solution of Point-Line Absolute Pose

About

We revisit certain problems of pose estimation based on 3D--2D correspondences between features which may be points or lines. Specifically, we address the two previously-studied minimal problems of estimating camera extrinsics from $p \in \{ 1, 2 \}$ point--point correspondences and $l=3-p$ line--line correspondences. To the best of our knowledge, all of the previously-known practical solutions to these problems required computing the roots of degree $\ge 4$ (univariate) polynomials when $p=2$, or degree $\ge 8$ polynomials when $p=1.$ We describe and implement two elementary solutions which reduce the degrees of the needed polynomials from $4$ to $2$ and from $8$ to $4$, respectively. We show experimentally that the resulting solvers are numerically stable and fast: when compared to the previous state-of-the art, we may obtain nearly an order of magnitude speedup. The code is available at \url{https://github.com/petrhruby97/efficient\_absolute}

Petr Hruby, Timothy Duff, Marc Pollefeys• 2024

Related benchmarks

TaskDatasetResultRank
Absolute Pose EstimationOxford Multi-view Model House 1.0
Timing (ms)7.72
12
Absolute Pose EstimationOxford Multi-view Corridor
Timing (ms)11.32
6
Absolute Pose EstimationOxford Multi-view (Merton II)
Timing (ms)26.7
6
Absolute Pose EstimationOxford Multi-view Merton III
Timing (ms)10.91
6
Absolute Pose EstimationOxford Multi-view (Library)
Timing (ms)10.04
6
Absolute Pose EstimationOxford Multi-view (Wadham)
Timing (ms)22.96
6
Camera pose estimationSynthetic P2P1L noiseless
Mean Error313.8
4
Camera pose estimationSynthetic P1P2L (noiseless)
Mean Error504
2
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