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 7-point 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.
Original language | English |
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Title of host publication | IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 978-1-7281-7169-2 |
ISBN (Print) | 978-1-7281-7168-5 |
DOIs | |
Publication status | Published - 2020 |
Externally published | Yes |
Event | 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020 - Virtual, Online, United States Duration: 2020 Jun 14 → 2020 Jun 19 |
Conference
Conference | 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 2020/06/14 → 2020/06/19 |
Subject classification (UKÄ)
- Computer graphics and computer vision