3D Depth of Field Acquisition Based on OpenCV

DOI

10.2991/wartia-16.2016.195How to use a DOI?

Keywords

Computer vision, OpenCV, camera calibration, stereo matching.

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Feng Yu
AU  - Junfeng Shuai
AU  - Baolin Yin
AU  - Xiaoming Feng
PY  - 2016/05
DA  - 2016/05
TI  - 3D Depth of Field Acquisition Based on OpenCV
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 918
EP  - 921
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.195
DO  - 10.2991/wartia-16.2016.195
ID  - Yu2016/05
ER  -