Research on three-dimensional reconstruction method based on binocular vision

Jinlin Li; Zhihui Wang; Minjun Wang

doi:10.1117/12.2283522

8 March 2018 Research on three-dimensional reconstruction method based on binocular vision

Jinlin Li, Zhihui Wang, Minjun Wang

Proceedings Volume 10609, MIPPR 2017: Pattern Recognition and Computer Vision; 106090I (2018) https://doi.org/10.1117/12.2283522
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

As the hot and difficult issue in computer vision, binocular stereo vision is an important form of computer vision,which has a broad application prospects in many computer vision fields,such as aerial mapping,vision navigation,motion analysis and industrial inspection etc.In this paper, a research is done into binocular stereo camera calibration, image feature extraction and stereo matching. In the binocular stereo camera calibration module, the internal parameters of a single camera are obtained by using the checkerboard lattice of zhang zhengyou the field of image feature extraction and stereo matching, adopted the SURF operator in the local feature operator and the SGBM algorithm in the global matching algorithm are used respectively, and the performance are compared. After completed the feature points matching, we can build the corresponding between matching points and the 3D object points using the camera parameters which are calibrated, which means the 3D information.

Citation Download Citation

Jinlin Li, Zhihui Wang, and Minjun Wang "Research on three-dimensional reconstruction method based on binocular vision", Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106090I (8 March 2018); https://doi.org/10.1117/12.2283522

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