Robust active stereo three-dimensional reconstruction using RGB speckle projection

Yang Xiao; Kai Yang; Zijian Bai; Xinyu Li; Lin Luo

doi:10.1117/12.3048577

5 December 2024 Robust active stereo three-dimensional reconstruction using RGB speckle projection

Yang Xiao, Kai Yang, Zijian Bai, Xinyu Li, Lin Luo

Author Affiliations +

Proceedings Volume 13418, Fifteenth International Conference on Information Optics and Photonics (CIOP 2024); 134182P (2024) https://doi.org/10.1117/12.3048577
Event: 15th International Conference on Information Optics and Photonics (CIOP2024), 2024, Xi’an, China

Abstract

Stereo vision, as a critical part in the field of three-dimensional reconstruction, perceives and measures the 3D shape of objects by matching corresponding points between the left camera and the right camera views. The extremely challenging in stereo vision is to ensure the accuracy of matching areas and to obtain disparity robustly. However, passive stereo imaging has inherent problems for ill-posed areas such as complicated illumination, weak texture, and perspective occlusion in adverse environments such as industrial scenes. The active stereo technique designs and projects patterns to improve the accuracy of digital image correlation (DIC). Focusing on the intricate maintenance scenes of high-speed railways,we propose an active stereo strategy with RGB speckle projection patterns. Compared with previous speckle patterns, our RGB speckle pattern enhances more comprehensive texture information and demonstrates significant adaptability in diverse scenes. Comparative experiments were implemented on different stereo matching algorithms and projection strategies in industrial scenes,and the results demonstrate that the proposed approach achieves favorable reconstruction results and higher accuracy.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yang Xiao, Kai Yang, Zijian Bai, Xinyu Li, and Lin Luo "Robust active stereo three-dimensional reconstruction using RGB speckle projection", Proc. SPIE 13418, Fifteenth International Conference on Information Optics and Photonics (CIOP 2024), 134182P (5 December 2024); https://doi.org/10.1117/12.3048577

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
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Speckle

RGB color model

Speckle pattern

3D projection

Cameras

Reconstruction algorithms

3D metrology

Show All Keywords

Keywords/Phrases

Search In:

Publication Years