Real-time Hybrid Stereo Vision System for HD Resolution Disparity Map
In Proceedings British Machine Vision Conference 2014
AbstractStereo 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.
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