Improved real-time correlation-based FPGA stereo vision system

In this paper, we describe the design and implementation of Field Programmable Gate Array (FPGA) based stereo vision system. Implementation of correlation-based algorithm is well designed to exploit the parallelism in FPGA. The system is capable of running at more than 70 frames per second with 512...

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Hauptverfasser:	Jingting Ding, Xin Du, Xinhuan Wang, Jilin Liu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computed tomography Correlation Field programmable gate arrays Hardware Pixel Real time systems Stereo vision
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creator	Jingting Ding Xin Du Xinhuan Wang Jilin Liu
description	In this paper, we describe the design and implementation of Field Programmable Gate Array (FPGA) based stereo vision system. Implementation of correlation-based algorithm is well designed to exploit the parallelism in FPGA. The system is capable of running at more than 70 frames per second with 512 × 512 images. To improve the inherent weakness of simple correlation-based algorithm, two methods have been added. The multi-window approach improves disparity quality at object borders and cross checking reduces possible errors in general. The experimental comparison shows the improvement on final results.
doi_str_mv	10.1109/ICMA.2010.5588008
format	Conference Proceeding
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subjects	Computed tomography Correlation Field programmable gate arrays Hardware Pixel Real time systems Stereo vision
title	Improved real-time correlation-based FPGA stereo vision system
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