Camera Calibration of Binocular Vision Based on Virtual 1D Target

Abstract

A field calibration method based on virtual 1D target is proposed for the extrinsic parameters of binocular vision. A target is placed on high precision 1D lifting platform to create virtual 1D target through motions of lifting platform. Two cameras are used to obtain virtual target images of different positions and preliminarily achieve extrinsic parameter calibration of binocular vision based on epipolar constraint equation. Finally, the length of virtual 1-D target is used to optimize the extrinsic parameters. This method is featured with easy operation, flexible application and field calibration. The experimental results verify the feasibility of this calibration method and show it can yield high field calibration precision.

Calibration for stereo vision system based on phase matching and bundle adjustment algorithm

“…To achieve rapid calibration, there are some automatic calibration method proposed [7][8][9], including the method based on dashed lines and two orthogonal vanishing points. Camera calibration methods by using fringe patterns, not-measured calibration target, and Virtual 1D Target are also ways to simplify the procedure [10][11][12]. There have been a few efforts to solve the problem of calibration for the system with a large field of view without using a big planar target [13][14][15].…”