DiscoCal

DiscoCal is a highly accurate, robust, and fast camera calibration tool. It utilizes a circular pattern, which offers more precise measurements compared to a checkerboard. For more details, see Why DiscoCal?

Supported Tasks

DiscoCal supports the following tasks (the list will be continuously updated):

• RGB camera intrinsic calibration
• Thermal-infrared camera intrinsic calibration
• Multi-camera extrinsic calibration
• Camera–LiDAR extrinsic calibration (coming soon)

Project Information

This project began in April 2024 and is actively maintained by the RPM Robotics Lab at Seoul National University, South Korea.

• 📁 GitHub Repository: https://github.com/chaehyeonsong/discocal
• ❓ If you have any questions or encounter issues, please use the Issues tab on GitHub.
• Papers:
  • CVPR24: Unbiased Estimator for Distorted Conics in Camera Calibration
  • TPAMI (under reivew): Camera Calibration via Circular Patterns: A Comprehensive Framework with Measurement Uncertainty and Unbiased Projection Model

Cite Us

If you use DiscoCal, please cite the following paper:

@INPROCEEDINGS{chsong-2024-cvpr,  
    author    = {Song, Chaehyeon and Shin, Jaeho and Jeon, Myung-Hwan and Lim, Jongwoo and Kim, Ayoung},
    title     = {Unbiased Estimator for Distorted Conics in Camera Calibration},
    booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2024},
    pages     = {373-381}
}