Abstract
Fast and accurate homography estimation is essential to many computer vision applications, including scene degenerate cases and planarity detection. Such cases arise naturally in man-made environments, and failure to handle them will result in poor positioning estimates. Most modern day consumer cameras are affected by some level of radial distortion, which must be compensated for in order to get accurate estimates. This often demands calibration procedures, with specific scene requirements, and off-line processing. In this paper a novel polynomial solver for radially distorted planar motion compatible homographies is presented. The proposed algorithm is fast and numerically stable, and is proven on both synthetic and real data to work well inside a RANSAC loop.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods |
| Subtitle of host publication | ICPRAM 2020 |
| Editors | Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred |
| Publisher | SciTePress |
| Pages | 280-288 |
| Number of pages | 9 |
| Volume | 1 |
| ISBN (Electronic) | 9789897583971 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 9th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2020 - Valletta, Malta Duration: 2020 Feb 22 → 2020 Feb 24 |
Conference
| Conference | 9th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2020 |
|---|---|
| Country/Territory | Malta |
| City | Valletta |
| Period | 2020/02/22 → 2020/02/24 |
Subject classification (UKÄ)
- Computer graphics and computer vision
- Signal Processing
Free keywords
- Homography
- Planar Motion
- Polynomial Solver
- Radial Distortion
- Trajectory Recovery
- Visual Odometry