关键词: 平面测量, 标定点, 随机采样一致性算法, 匹配

Abstract: Concerning the problems of large amount of calculation and poor accuracy of traditional matching method of plane image target point, a fast and highly precise matching method of plane image target point was proposed based on RANdom SAmple Consensus (RANSAC) random sampling algorithm. Firstly, based on the dual conic model, the ellipse's gradient vector was estimated by exploiting directly the raw gradient information in the neighborhood of an ellipse's boundary. Secondly, the ellipse's parameters and centers with the gradient vector field were matched. At last, the points in image with the target point in calibration board were matched with the help of RANSAC random sampling algorithm. The experimental results verify the method is simple and has a high degree of accuracy.

Key words: plane measurement, calibration point, RANdom SAmple Consensus (RANSAC) algorithm, matching