Real-time binocular stereo vision system based on FPGA

Jiawei Ma, Wei Yin, Chao Zuo, Shijie Feng, Qian Chen

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

4 Citations (Scopus)

Abstract

Binocular stereo vision, as a typical technique of computer vision, is versatile in three-dimensional shape measurement. However, the efficiency and speed are limited by the inherent instruction cycle delay within traditional computers, leading to large quantities of image data and computational complexity. Consequently, this paper describes a real-time binocular stereo vision system based on FPGA implementation. Considering FPGA's parallel architecture, both in storing and calculating, the whole system is a full-pipeline design and synchronized with the identical system clock so that different parts of the stereo processing can work simultaneously to improve the processing speed. As the complete image processing framework contains rectification, stereo correspondence and the left-right consistency check is realized by only one FPGA chip without other external devices, making system highly integrated and low cost. To avoid unnecessary cost of the FPGA resource, the dual-camera calibration is done offline by MFC-based software while the intrinsic and extrinsic parameters are transmitted into the FPGA through system interaction. © 2018 SPIE.
Original languageEnglish
Title of host publicationSixth International Conference on Optical and Photonic Engineering, icOPEN 2018
PublisherSPIE - International Society for Optical Engineering
Volume10827
ISBN (Print)9781510622562
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event6th International Conference on Optical and Photonic Engineering, icOPEN 2018 - Shanghai, China
Duration: 8 May 201811 May 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10827
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference6th International Conference on Optical and Photonic Engineering, icOPEN 2018
PlaceChina
CityShanghai
Period8/05/1811/05/18

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Binocular Stereo Vision
  • Depth Sensing
  • FPGA
  • Stereo Correspondence

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