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P1AC: Revisiting Absolute Pose From a Single Affine Correspondence
v1v2v3v4v5v6 (latest)

P1AC: Revisiting Absolute Pose From a Single Affine Correspondence

IEEE International Conference on Computer Vision (ICCV), 2020
17 November 2020
Jonathan Ventura
Zuzana Kukelova
Torsten Sattler
Dániel Baráth
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "P1AC: Revisiting Absolute Pose From a Single Affine Correspondence"

4 / 4 papers shown
Dense Match Summarization for Faster Two-view Estimation
Dense Match Summarization for Faster Two-view EstimationComputer Vision and Pattern Recognition (CVPR), 2025
Jonathan Astermark
Anders Heyden
Viktor Larsson
3DV3DH
258
3
0
03 Jun 2025
The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose
  Refinement
The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement
Gabriele Trivigno
Carlo Masone
Barbara Caputo
Torsten Sattler
244
22
0
16 Apr 2024
Automatic Solver Generator for Systems of Laurent Polynomial Equations
Automatic Solver Generator for Systems of Laurent Polynomial Equations
E. Martyushev
Snehal Bhayani
Tomas Pajdla
219
3
0
01 Jul 2023
Adaptive Reordering Sampler with Neurally Guided MAGSAC
Adaptive Reordering Sampler with Neurally Guided MAGSACIEEE International Conference on Computer Vision (ICCV), 2021
Tong Wei
Jirí Matas
Dániel Baráth
351
10
0
28 Nov 2021
1
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