State-of-the-art subpixel localization for saddle points and circles ensures the most accurate calibration results
Robust parameter optimization with Huber norm loss handles outliers and lower quality data for reliable results
Supports multiple calibration targets including checkerboard, Charuco, Kalibr, and Aruco for flexible setups
Nonlinear bundle adjustment for multi-camera systems enables simultaneous and precise calibration
Covariance analysis tools provide real-world performance metrics for evaluating calibration quality
Summarized by Shop
Overview
Calibrator increases the value of your computer vision system. Uncertain and unreliable calibration results are a thing of the past, and your algorithms can perform their best. No more guessing if your calibration is actually accurate and reliable.
State of the Art Algorithms and Support
The software leverages years of research
License Type
One-time purchase, perpetual, transferable within organization
