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Detail
Conference Paper
Real-time Hybrid Stereo Vision System for HD Resolution Disparity Map
- Authors
- Jiho Chang, Jae-chan Jeong, Dae-Hwan Hwang
- Issue Date
- 2014-09
- Citation
- British Machine Vision Conference (BMVC) 2014, pp.1-11
- Publisher
- BMVA
- Language
- English
- Type
- Conference Paper
- 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 × 720-resolution image at 60fps in indoor environments.
- KSP Keywords
- Active and passive, Approximate algorithms, Depth information, Disparity Map, Field-Programmable Gate Array(FPGA), Hybrid stereo vision, Indoor environment, Matching System, Over-current, Real-Time processing, Stereo Vision System