{"title":"改进的实时相关FPGA立体视觉系统","authors":"Jingting Ding, Xin Du, XinHuan Wang, Jilin Liu","doi":"10.1109/ICMA.2010.5588008","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":145608,"journal":{"name":"2010 IEEE International Conference on Mechatronics and Automation","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Improved real-time correlation-based FPGA stereo vision system\",\"authors\":\"Jingting Ding, Xin Du, XinHuan Wang, Jilin Liu\",\"doi\":\"10.1109/ICMA.2010.5588008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":145608,\"journal\":{\"name\":\"2010 IEEE International Conference on Mechatronics and Automation\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Mechatronics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMA.2010.5588008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Mechatronics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA.2010.5588008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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 512×512 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.