Stereo camera calibration
Brian O'Kennedy · SUNScholar (Stellenbosch University) · 2002
We present all the components needed for a fully-fledged stereo vision system, ranging from object detection through camera calibration to depth perception.We propose an efficient, automatic and practical method to calibrate cameras for use in 3D machine vision metrology.We develop an automated stereo calibration system that only requires a series of views of a manufactured calibration object in unknown positions.The system is tested against real and synthetic data, and we investigate the robustness of the proposed method compared to standard calibration practice.All the aspects of 3D stereo reconstruction is dealt with and we present the necessary algorithms to perform epipolar rectification on images as well as solving the correspondence and triangulation problems.It was found that the system performs well even in the presence of noise, and calibration is easy and requires no specialist knowledge.