Learning-based Camera Calibration
A Learning-based Camera Calibration Toolbox
Paper
The pdf file can be found here.
@misc{zhang2022learningbased,
title={Learning-Based Framework for Camera Calibration with Distortion Correction and High Precision Feature Detection},
author={Yesheng Zhang and Xu Zhao and Dahong Qian},
year={2022},
eprint={2202.00158},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
Update log
-
22-02-01: Code is coming soon...
-
21-06-15: You can run the Demo_calib.py for calibration demo on synthetic data after modifying the path set in it (The demo data is saved in \CCS\Code\demo_data).
-
21-07-19: RANSAC-based calibration by Zhang's method is added as Calib.calib_RANSAC_OpenCV().
TODO LIST
- code release.
- README complete.
File Folder Configuration
See ./demo_data/demo_normal.
Workflow
-
Distortion Correction
If your images suffer from severe radial lens distortion, you are recommended to perfrom distortion correction as follow.
To be continue ... -
Feature Extraction Use our network combined with surface fitting algorithm to extract chessborad features and achieve sub-pixel accuracy.