计算机科学
计算机视觉
人工智能
摄像机自动校准
校准
摄像机切除
过程(计算)
机器视觉
投影(关系代数)
对象(语法)
关系(数据库)
计算机图形学(图像)
数学
算法
数据挖掘
统计
操作系统
出处
期刊:IAES International Journal of Artificial Intelligence
日期:2014-09-01
卷期号:3 (3): 136-136
被引量:4
标识
DOI:10.11591/ijai.v3.i3.pp136-144
摘要
In several machine vision applications, a fundamental step is to precisely determine the relation between the image of the object and its physical dimension by performing a calibration process. The aim is to devise an enhanced mechanism for camera calibration in order to improve the already existing methods in OpenCV. A good calibration is important when we need to reconstruct a world model or interact with the world as in case of robot, hand-eye coordination. In order to meet the rising demands for higher accuracy various calibration techniques have been developed but they are unable in obtaining precise results. In this paper we propose an enhanced camera calibration procedure using a special grid pattern of concentric circles with special markers. The overall objective is to minimize the re-projection for good camera calibration.
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