3D Depth of Field Acquisition Based on OpenCV

被引：0
|
作者：
Yu, Feng [1 ]
Shuai, Junfeng [1 ]
Yin, Baolin [1 ]
Feng, Xiaoming [1 ]
机构：
[1] Jiamusi Univ, Sch Mech Engn, Jiamusi 154007, Peoples R China
来源：
PROCEEDINGS OF THE 2016 2ND WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS | 2016年 / 81卷
关键词：
Computer vision; OpenCV; camera calibration; stereo matching;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
3D reconstruction model of OpenCV is established based on the 3D reconstruction technique of computer vision. The camera calibration, stereo calibration, image correction, stereo matching are used for acquiring disparity map, the 3D coordinates of the target points are obtained by the disparity map, the interface functions of corresponding algorithm provided by OpenCV are used for completing the above steps, the 3D points cloud display are carried out by Matlab. It has higher arithmetic speed and accuracy of point position with good cross platform portability, which can meet the needs of a variety of computer vision systems.
引用
收藏
页码：920 / 923
页数：4
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