A Method for Spherical Localization Using Modified Hough Transform

被引：0

作者：

He Guang-lin ^{[1
]}

Huang Ke-wei ^{[1
]}

Yuan Ben-sheng ^{[2
]}

机构：

[1] Beijing Inst Technol, Dept Mechatron Engn, Sch Aerosp & Sci Technol, Beijing 100081, Peoples R China

[2] Univ Sci & Technol Beijing, Sch Informat Engn, Dept Measurment & Ctrl Technol, Beijing 100083, Peoples R China

来源：

2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL III, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/IITA.2008.243

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Two image sensors simulate directly the way of disposing images with the human's two eyes, so it has important value to apply to many domains, such as object identify, UAV detection, robot navigation, and soon. This paper focus on the object localization and distance detection based on two image sensors. It concentrates on how to apply two CCD image sensors to object localization of a sphere in complex environments. A space model of the two image sensors was set up, then an experiment platform was built in order to prove the correctness and feasibility of that localization algorithm, and the relationship between the coordinate localization accuracy and the sensor structural parameters was analyzed.

引用

页码：522 / +

页数：2