中文版 | English
Title

Subpixel Interpolation Disparity Refinement for Semi-Global Matching

Author
DOI
Publication Years
2022
Conference Name
IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)
ISBN
978-1-6654-5080-5
Source Title
Pages
105-109
Conference Date
11-13 Nov. 2022
Conference Place
Shenzhen, China
Publication Place
345 E 47TH ST, NEW YORK, NY 10017 USA
Publisher
Abstract
Semi-Global Matching (SGM) algorithms and their corresponding hardware accelerators, which focus on stereo matching, have been developed in the last few years. However, the interpolation for disparity is much indispensable for real-world applications but still remains refining. This work presents a pixel-level pipeline architecture for the disparity refinement for SGM in case of computing disparity, which refines disparity through subpixel interpolation with an optimized cosine look up table and a compute-friendly parallel divider. The hardware architecture based on optimization algorithms has reached a error rate of only 6.33% for tradition background and 7.30% for occlusion condition, achieved in real-time FPGA as well.
Keywords
SUSTech Authorship
First
Language
English
URL[Source Record]
Indexed By
WOS Research Area
Computer Science ; Engineering
WOS Subject
Computer Science, Hardware & Architecture ; Engineering, Electrical & Electronic
WOS Accession No
WOS:000987045300023
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10090384
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/527451
DepartmentSUSTech Institute of Microelectronics
Affiliation
School of Microelectronics, Southern University of Science and Technology, Shenzhen, China
First Author AffilicationSUSTech Institute of Microelectronics
First Author's First AffilicationSUSTech Institute of Microelectronics
Recommended Citation
GB/T 7714
Yunhao Ma,Xiwei Fang,Pingcheng Dong,et al. Subpixel Interpolation Disparity Refinement for Semi-Global Matching[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:105-109.
Files in This Item:
There are no files associated with this item.
Related Services
Fulltext link
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Yunhao Ma]'s Articles
[Xiwei Fang]'s Articles
[Pingcheng Dong]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Yunhao Ma]'s Articles
[Xiwei Fang]'s Articles
[Pingcheng Dong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yunhao Ma]'s Articles
[Xiwei Fang]'s Articles
[Pingcheng Dong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.