An automatic 3D reconstruction system based on binocular vision measurement

Shuangyin Liu; Zhenwei Wang; Fang Fan

doi:10.1117/12.2285120

24 October 2017 An automatic 3D reconstruction system based on binocular vision measurement

Shuangyin Liu, Zhenwei Wang, Fang Fan

Proceedings Volume 10458, AOPC 2017: 3D Measurement Technology for Intelligent Manufacturing; 1045819 (2017) https://doi.org/10.1117/12.2285120
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

With the rapid development of computer vision, vision measurement and 3D reconstruction have become a hot research trend. However, it is still a problem to reconstruct the weak texture surface in engineering. In this paper, we present the systematic design and implementation of an automatic measurement system based on binocular vision. The hardware configuration of the verification platform is presented, including CCD cameras, stepper motors, laser displacement sensors and so on. Binocular-vision algorithms including camera calibration, feature extraction, stereo match and 3D reconstruction are prompted to reconstruct the weak texture surface. An experiment demonstrates the effectiveness and feasibility of this platform.

Citation Download Citation

Shuangyin Liu, Zhenwei Wang, and Fang Fan "An automatic 3D reconstruction system based on binocular vision measurement", Proc. SPIE 10458, AOPC 2017: 3D Measurement Technology for Intelligent Manufacturing, 1045819 (24 October 2017); https://doi.org/10.1117/12.2285120

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available