Real-time Hybrid Stereo Vision System for HD Resolution Disparity Map
In Proceedings British Machine Vision Conference 2014
http://dx.doi.org/10.5244/C.28.89
Abstract
Stereo vision systems have been researched for decades and constitute the traditional method for extracting three-dimensional (3D) real-time depth information from images using sensors. However, passive stereo vision systems show a significant error in processing untextured regions, which are frequent in indoor environments. Also, modifications for processing in real time make error by using approximate algorithms. In this paper, we propose a hybrid stereo matching system that combines active and passive stereo vision. In order to implement it in a field-programmable gate array (FPGA) for real-time processing, we modify the existing stereo matching algorithm. Our system shows a significant improvement over current systems in processing untextured regions, and accurately calculates depth for a 1280 x 720-resolution image at 60fps in indoor environments.
Session
Poster Session
Files
Extended Abstract (PDF, 1 page, 1.2M)Paper (PDF, 11 pages, 8.2M)
Bibtex File
Citation
Jiho Chang, Jae-chan Jeong and Dae-Hwan Hwang. Real-time Hybrid Stereo Vision System for HD Resolution Disparity Map. Proceedings of the British Machine Vision Conference. BMVA Press, September 2014.
BibTex
@inproceedings{BMVC.28.89
title = {Real-time Hybrid Stereo Vision System for HD Resolution Disparity Map},
author = {Chang, Jiho and Jeong, Jae-chan and Hwang, Dae-Hwan},
year = {2014},
booktitle = {Proceedings of the British Machine Vision Conference},
publisher = {BMVA Press},
editors = {Valstar, Michel and French, Andrew and Pridmore, Tony}
doi = { http://dx.doi.org/10.5244/C.28.89 }
}