Knowledge Base

We have years of experience with camera calibration in industry. In fact, Calib.io has helped several thousand customers world wide achieve better ...

In camera calibration, the reprojection error (RPE) is of central importance. What exactly is it and how can we interpret it? This article aims t...

Camera calibration generally aims to fit a suitable mathematical model to data in order to geometrically characterize one or more camera/lens-c...

In this article we'll go through the many substrates/materials available for camera calibration targets at Calib.io. We'll briefly touch upon some of the pros and cons of the various substrates and which applications might require them.

Accurate calibration is of key importance for performance in most machine and computer vision tasks. The following lists our best practices which w...

Camera calibration is the process of determining camera and lens model parameters accurately. With the common Brown-Conrady camera model, this ...

The camera model is at the heart of any calibration routine. Hence, in order to better understand the factors influencing a good camera calibrati...

Calibrating cameras accurately is important for the success of any machine/computer vision setup. However, there are different patterns to choose f...