A Method on Monocular Vision of Camera for Spatial Position

被引：2

作者：

Zhen, Yang ^{[1
]}

Jun, Wu Ming ^{[1
]}

Fang, Wang ^{[1
]}

Li, Zhang ^{[1
]}

Na, Gong Li ^{[1
]}

机构：

[1] Zaozhuang Univ, Coll Informat Sci & Engn, Zaozhuang 277160, Shandong, Peoples R China

来源：

MECHANICAL ENGINEERING, MATERIALS AND ENERGY II | 2013年 / 281卷

关键词：

intrinsic parameter matrix; extrinsic parameter matrix; principle of least squares; canny operator;

D O I：

10.4028/www.scientific.net/AMM.281.14

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

In this paper, a method on monocular vision for spatial position is presented. The geometric model of digital camera is built and decomposed to intrinsic and extrinsic parameter matrixes under a certain assumption. Firstly, the intrinsic parameter matrix of camera is determined. Then, the extrinsic parameter matrix is solved according to the information of image. The edge detection operators are worked and in order to detect the accuracy of this method, the point of some feature points are obtained by using the principle of least squares. Compared with the conventional calibration method, this method is simple, fast and robust.

引用

页码：14 / 18

页数：5

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