High speed image acquisition system for 3D reconstruction

Yanlang Hu; Ying Li; Yanning Zhang; Quan Zhou; Juanni Liu; Jiayuan Wei

doi:10.1117/12.2557472

3 January 2020 High speed image acquisition system for 3D reconstruction

Yanlang Hu, Ying Li, Yanning Zhang, Quan Zhou, Juanni Liu, Jiayuan Wei

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113732M (2020) https://doi.org/10.1117/12.2557472
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

Laser triangulation is often the best solution for the 3D (three-dimensional) image reconstruction of an object. And its features, such as simple structure, fast reconstruction speed and flexible use make it widely used in 3D reconstruction. However, due to its high image frame rate, huge data, and requiring a large amount of computation for image processing algorithm, it is hard to be applied in embedded system. This paper presents a hardware solution for high-speed image acquisition system which is implemented on Xilinx FPGA. The experimental results indicate that this acquisition system works normally and its performance is steady and reliable, under the extreme conditions with an image resolution of 1280*384 and a frame rate of 9,000. It is still a challenging problem to extract the position information of the light bar in real time. In order to solve this problem, a parallel gray center gravity method based on FPGA is proposed to detect the position of light bar in this paper. Test results show that the proposed method can correctly extract the position information of the light bar in real time when the image frame rate reaches 9,000 frames. The power consumption is only about 4 watts.

Citation Download Citation

Yanlang Hu, Ying Li, Yanning Zhang, Quan Zhou, Juanni Liu, and Jiayuan Wei "High speed image acquisition system for 3D reconstruction", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113732M (3 January 2020); https://doi.org/10.1117/12.2557472

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