Camera Calibration: a USU Implementation

TL;DR

This paper discusses a USU implementation for camera calibration, which estimates intrinsic and extrinsic parameters to enable accurate 3-D scene understanding for applications like robotics and metrology.

Contribution

It presents a specific implementation approach for camera calibration, enhancing the accuracy and applicability of 3-D reconstruction and recognition tasks.

Findings

Improved calibration accuracy for 3-D reconstruction

Enhanced applications in robotics and metrology

Potential for broader use in vision-based systems

Abstract

The task of camera calibration is to estimate the intrinsic and extrinsic parameters of a camera model. Though there are some restricted techniques to infer the 3-D information about the scene from uncalibrated cameras, effective camera calibration procedures will open up the possibility of using a wide range of existing algorithms for 3-D reconstruction and recognition. The applications of camera calibration include vision-based metrology, robust visual platooning and visual docking of mobile robots where the depth information is important.