{"title":"A comparison of hardware resources required by real-time stereo dense algorithms","authors":"M. Perez, F. Cabestaing","doi":"10.1109/CAMP.2003.1598176","DOIUrl":null,"url":null,"abstract":"Many algorithms for computing correlation based stereo correspondence have been proposed. Some of them can be implemented on specialized architectures, in order to obtain results in real time. In this communication, we propose an experimental comparison of the amount of hardware resources required for implementing these algorithms. An efficient architecture is presented, the STREAM, (acronym for systeme temps-reel d'extraction et d'analyse du mouvement, i.e. real-time motion extraction and analysis system) which is a processor dedicated to image sequence analysis","PeriodicalId":443821,"journal":{"name":"2003 IEEE International Workshop on Computer Architectures for Machine Perception","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 IEEE International Workshop on Computer Architectures for Machine Perception","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMP.2003.1598176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Many algorithms for computing correlation based stereo correspondence have been proposed. Some of them can be implemented on specialized architectures, in order to obtain results in real time. In this communication, we propose an experimental comparison of the amount of hardware resources required for implementing these algorithms. An efficient architecture is presented, the STREAM, (acronym for systeme temps-reel d'extraction et d'analyse du mouvement, i.e. real-time motion extraction and analysis system) which is a processor dedicated to image sequence analysis
许多基于相关的立体对应计算算法已经被提出。其中一些可以在专门的体系结构上实现，以便实时获得结果。在本通信中，我们提出了实现这些算法所需的硬件资源量的实验比较。提出了一种高效的体系结构STREAM (system temes -reel d'extraction et d'analyse du movement的缩写，即实时运动提取和分析系统)，它是一种专门用于图像序列分析的处理器
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