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Computer Science > Computer Vision and Pattern Recognition

Title: Efficient Solution of Point-Line Absolute Pose

Abstract: 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{this https URL}
Comments: CVPR 2024, 11 pages, 8 figures, 5 tables
Subjects: Computer Vision and Pattern Recognition (cs.CV)
MSC classes: 68T45
ACM classes: I.4.5
Cite as: arXiv:2404.16552 [cs.CV]
  (or arXiv:2404.16552v1 [cs.CV] for this version)

Submission history

From: Petr Hruby [view email]
[v1] Thu, 25 Apr 2024 12:09:16 GMT (2248kb,D)

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