A Quadrant Approach of Camera Calibration Method for Depth Estimation Using a Stereo Vision System
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
Stereo vision systems are well know depth estimation methods with a large number of applications such as automatic inspection, autonomous navigation, process control, etc. The functioning principle of these systems is the triangulation between the real-world surface point and its respective projections on the image planes of each camera. One of the key points in order to obtain accurate measurements on stereo vision systems are the calibration of extrinsic and intrinsic parameters. This is why the work of this paper focuses on a camera calibration method to correct the error generated by the lens distortion. The proposed method divides the image in quadrants and generates an equation for each quadrant to correct the error generated by the lens distortion. The performed experiment demonstrated an accuracy improvement using the calibration method compared to the measures taken without a calibration method.
| Original language | English |
|---|---|
| Title of host publication | IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society |
| Number of pages | 6 |
| Place of Publication | Piscataway |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 17.10.2022 |
| ISBN (print) | 978-1-6654-8026-0 |
| ISBN (electronic) | 978-1-6654-8025-3 |
| DOIs | |
| Publication status | Published - 17.10.2022 |
| Event | Conference - 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Convention Center SQUARE, Brussels, Belgium Duration: 17.10.2022 → 20.10.2022 Conference number: 48 https://iecon2022.org |
Bibliographical note
Publisher Copyright:
© 2022 IEEE.
- depth estimation, Lens distortion, pattern match, Stereo vision system, triangulation
- Engineering