Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length
Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong
Abstract
We propose minimal solutions to relative pose estimation problem from two views sharing a common direction with unknown focal length. This is relevant for cameras equipped with an IMU (inertial measurement unit), e.g., smart phones, tablets. Similar to the 6-point algorithm for two cameras with unknown but equal focal lengths and 7point algorithm for two cameras with different and unknown focal lengths, we derive new 4-and 5-point algorithms for these two cases, respectively. The proposed algorithms can cope with coplanar points, which is a degenerate configuration for these 6-and 7-point counterparts. We present a detailed analysis and comparisons with the state of the art. Experimental results on both synthetic data and real images from a smart phone demonstrate the usefulness of the proposed algorithms.
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- Minimal Solutions for Panoramic Stitching Given Gravity PriorYaqing Ding, Daniel Barath, Zuzana KukelovaICCV 2021 · 12 citations
- Vanishing Point Estimation in Uncalibrated Images with Prior Gravity DirectionRémi Pautrat, Shaohui Liu, Petr Hruby, Marc Pollefeys et al.ICCV 2023 · 10 citations
- Relative Pose from a Calibrated and an Uncalibrated Smartphone ImageYaqing Ding, Daniel Barath, Jian Yang, Zuzana KukelovaCVPR 2022 · 5 citations
- Globally Optimal Relative Pose Estimation With Gravity PriorYaqing Ding, Daniel Barath, Jian Yang, Hui Kong et al.CVPR 2021
- PLMP - Point-Line Minimal Problems for Projective SfMKim Kiehn, Albin Ahlbäck, Kathlén KohnICCV 2025
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