题名 | Real-Time FPGA-Based Binocular Stereo Vision System with Semi-Global Matching Algorithm |
作者 | |
通讯作者 | An,Fengwei |
DOI | |
发表日期 | 2021
|
会议名称 | 34th IEEE International System-on-Chip Conference (IEEE SOCC)
|
ISSN | 2164-1676
|
EISSN | 2164-1706
|
ISBN | 978-1-6654-2932-0
|
会议录名称 | |
卷号 | 2021-September
|
页码 | 158-163
|
会议日期 | 14-17 Sept. 2021
|
会议地点 | Las Vegas, NV, USA
|
出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA
|
出版者 | |
摘要 | Binocular stereo vision, which is an attractive topic in the computer vision area, mainly focuses on extracting depth information through a stereo matching algorithm. The semi-global matching algorithm (SGM) is well-studied but is hard to be applied in real-time because of the high computational cost. In this work, we report an FPGA-based stereo vision system for the SGM. The system contains a camera controller, a module for image rectification, and the SGM accelerator. The SGM accelerator module can extract the depth information with very high speed by a parallel pixel-level pipeline architecture. The left-right check module further ensures the quality of the disparity map. We implement the system on the Stratix-V platform with a 14.9% error rate and it consumes about 58K LUTs, 59K registers, and 5.2M bits of on-chip memory. The maximum working frequency can reach up to 135.96 MHz for the XGA (1024×768) video and 128 disparity range with the power dissipation of 4.302 W and the processing speed of 173 XGA-frames per second. |
关键词 | |
学校署名 | 第一
; 通讯
|
语种 | 英语
|
相关链接 | [Scopus记录] |
收录类别 | |
WOS研究方向 | Computer Science
; Engineering
|
WOS类目 | Computer Science, Hardware & Architecture
; Engineering, Electrical & Electronic
|
WOS记录号 | WOS:000814696000030
|
EI入藏号 | 20221511952139
|
EI主题词 | Computer vision
; Stereo image processing
; Stereo vision
|
EI分类号 | Logic Elements:721.2
; Data Processing and Image Processing:723.2
; Computer Applications:723.5
; Vision:741.2
|
Scopus记录号 | 2-s2.0-85127812050
|
来源库 | Scopus
|
全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9739626 |
引用统计 |
被引频次[WOS]:3
|
成果类型 | 会议论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/329661 |
专题 | 工学院_深港微电子学院 |
作者单位 | 1.Southern University of Science and Technology,School of Microelectronics,China 2.Eng. Res. Center of Integrated Circuits for Next-Generation Communications,Ministry of Education,Southern University of Science and Technology,China |
第一作者单位 | 深港微电子学院 |
通讯作者单位 | 深港微电子学院; 南方科技大学 |
第一作者的第一单位 | 深港微电子学院 |
推荐引用方式 GB/T 7714 |
Chen,Zhuoyu,Dong,Pingchen,Li,Zhuoao,et al. Real-Time FPGA-Based Binocular Stereo Vision System with Semi-Global Matching Algorithm[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2021:158-163.
|
条目包含的文件 | 条目无相关文件。 |
|
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论