Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/173431
Title: Real-time Disparity Map Reconstruction with On-board FPGA by Semi-global Matching and Weighted Least Square Filtering
Authors: Wang, Pengfei 
Zhi Gao 
Hailong Qin 
Myo Tun Aung 
Xudong Cheng
Mingjie Lao 
Feng Lin 
Swee Huat Rodney Teo 
Issue Date: 23-Aug-2018
Publisher: IMAV
Citation: Wang, Pengfei, Zhi Gao, Hailong Qin, Myo Tun Aung, Xudong Cheng, Mingjie Lao, Feng Lin, Swee Huat Rodney Teo (2018-08-23). Real-time Disparity Map Reconstruction with On-board FPGA by Semi-global Matching and Weighted Least Square Filtering. International Micro Air Vehicles, Conferences and Competitions 2018. ScholarBank@NUS Repository.
Abstract: In this paper, we propose a real-time disparity map estimation framework on FPGA, combined with an effective post-processing method. Given the input stream of stereo image pairs, a semi-global matching based framework is implemented on the FPGA to estimate the disparity in real-time. The generated disparity map is refined with a weighted least square (WLS) filtering method. The experiments show that the disparity map can be reconstructed in real-time. In addition, the weighted least square filtering based post-processing can significantly improve the accuracy of the disparity map and remove large estimation errors.
Source Title: International Micro Air Vehicles, Conferences and Competitions 2018
URI: https://scholarbank.nus.edu.sg/handle/10635/173431
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
IMAV2018Stereo.pdfPublished version2.15 MBAdobe PDF

OPEN

PublishedView/Download

Page view(s)

62
checked on Apr 9, 2021

Download(s)

1
checked on Apr 9, 2021

Google ScholarTM

Check


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