Research of Camera Calibration Algorithm Using in 3D Measurement
This paper proposes a new camera calibration method with high precision and simple process for 3D measurement of stereo vision system. Comer points are extracted from tessellated plane through harris operator, and then two cameras are calibrated. The process is divided into two steps. Firstly, a linear model without lens distortion is constructed in order to estimate all parameters of camera via solving overdetermined linear equations. Secondly, initial values of linear parameters are optimized by introducing two-order radial distortion model. The experiment results indicate that this method with high calibrating accuracy is a simple and practical one. Through camera calibration, we can accomplish 3D measurement in computer vision.
Camera calibration corner detection non-linear optimization computer vision
Zhou Jialiang Shi Hongmei Zhu Liqiang Guo Baoqing
School of Mechanical,Electronic and Control Engineering,Beijing Jiaotong University,Beijing 100044,China
国际会议
厦门
英文
773-778
2010-05-22（万方平台首次上网日期，不代表论文的发表时间）