A positioning method for the optimal seam in binocular visual image stitching

Mei Hui; Zheng Zhou; Ruifeng Yuan; Liquan Dong; Ming Liu; Yuejin Zhao

doi:10.1117/12.2542395

12 March 2020 A positioning method for the optimal seam in binocular visual image stitching

Mei Hui, Zheng Zhou, Ruifeng Yuan, Liquan Dong, Ming Liu, Yuejin Zhao

Proceedings Volume 11434, 2019 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments; 114340D (2020) https://doi.org/10.1117/12.2542395
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

Abstract

Image stitching technology is an important technology for generating large field of view images, and it is also a research hotspot in the field of digital image processing. Binocular imaging technology is closely related to image stitching technology and is widely used in robot vision, 3D reconstruction and other fields. However, in the existing image stitching methods, when the image with the distant view and the near object are coexisted, due to the parallax, the near object often has partial missing or unnatural transition, which leads to the poor image stitching effect and low naturalness. Aiming at this problem, we uses the characteristics of the binocular camera that can obtain depth information, and regards the information as one of the basis of the seam positioning. A strategy based on the combination of geometry, color and depth features is proposed, and we constructed a seaming algorithm model for positioning the optimal seam. The comparison experiment results show that the stitching naturalness is improved by 37% according to the proposed seaming algorithm.

Citation Download Citation

Mei Hui, Zheng Zhou, Ruifeng Yuan, Liquan Dong, Ming Liu, and Yuejin Zhao "A positioning method for the optimal seam in binocular visual image stitching", Proc. SPIE 11434, 2019 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, 114340D (12 March 2020); https://doi.org/10.1117/12.2542395

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Cameras

Image quality

Eye

Image registration

Image processing

Digital image processing

Image visualization

Show All Keywords

Keywords/Phrases

Search In:

Publication Years