一个实时高分辨率图像相关的多处理器系统

M. Cavadini, M. Wosnitza, M. Thaler, G. Tröster
{"title":"一个实时高分辨率图像相关的多处理器系统","authors":"M. Cavadini, M. Wosnitza, M. Thaler, G. Tröster","doi":"10.1109/ASAP.1997.606843","DOIUrl":null,"url":null,"abstract":"In this paper a dedicated multiprocessor architecture for a real time implementation of the normalized cross correlation function (NCCF) on images up to 1024x1024 pixels is presented. The computational requirements are dramatically reduced by calculating this algorithm in the frequency domain. In contrast to a standard implementation of the NCCF which inherently imposes rectangular templates, the proposed enhanced method also allows to search for free-form templates which even may include holes. The computation in the frequency domain is based on a single program multiple data (SPMD) architecture which includes a dedicated ASIC for the computation of the 1D complex FFT. Besides this specific part of the system, the image pre- and post- processing tasks are supported by general purpose DSP's. A system consisting of 4 ASIC's and 2 Sharc DSP's is able to compute the enhanced NCCF of a free form template on images of 1024x1024 pixels within 134 ms (8 frames/s).","PeriodicalId":368315,"journal":{"name":"Proceedings IEEE International Conference on Application-Specific Systems, Architectures and Processors","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A multiprocessor system for real time high resolution image correlation\",\"authors\":\"M. Cavadini, M. Wosnitza, M. Thaler, G. Tröster\",\"doi\":\"10.1109/ASAP.1997.606843\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a dedicated multiprocessor architecture for a real time implementation of the normalized cross correlation function (NCCF) on images up to 1024x1024 pixels is presented. The computational requirements are dramatically reduced by calculating this algorithm in the frequency domain. In contrast to a standard implementation of the NCCF which inherently imposes rectangular templates, the proposed enhanced method also allows to search for free-form templates which even may include holes. The computation in the frequency domain is based on a single program multiple data (SPMD) architecture which includes a dedicated ASIC for the computation of the 1D complex FFT. Besides this specific part of the system, the image pre- and post- processing tasks are supported by general purpose DSP's. A system consisting of 4 ASIC's and 2 Sharc DSP's is able to compute the enhanced NCCF of a free form template on images of 1024x1024 pixels within 134 ms (8 frames/s).\",\"PeriodicalId\":368315,\"journal\":{\"name\":\"Proceedings IEEE International Conference on Application-Specific Systems, Architectures and Processors\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE International Conference on Application-Specific Systems, Architectures and Processors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASAP.1997.606843\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE International Conference on Application-Specific Systems, Architectures and Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.1997.606843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本文提出了一种用于在1024 × 1024像素的图像上实时实现归一化互相关函数(NCCF)的专用多处理器架构。通过在频域中进行计算,大大减少了计算量。与NCCF的标准实现相反,它固有地强加了矩形模板,所提出的增强方法还允许搜索甚至可能包含孔的自由形式模板。频域计算基于单程序多数据(SPMD)架构,其中包括用于计算一维复FFT的专用ASIC。该系统除该特定部分外,还由通用DSP支持图像的预处理和后处理任务。一个由4个ASIC和2个Sharc DSP组成的系统能够在134 ms(8帧/秒)内计算1024 × 1024像素图像上自由格式模板的增强NCCF。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multiprocessor system for real time high resolution image correlation
In this paper a dedicated multiprocessor architecture for a real time implementation of the normalized cross correlation function (NCCF) on images up to 1024x1024 pixels is presented. The computational requirements are dramatically reduced by calculating this algorithm in the frequency domain. In contrast to a standard implementation of the NCCF which inherently imposes rectangular templates, the proposed enhanced method also allows to search for free-form templates which even may include holes. The computation in the frequency domain is based on a single program multiple data (SPMD) architecture which includes a dedicated ASIC for the computation of the 1D complex FFT. Besides this specific part of the system, the image pre- and post- processing tasks are supported by general purpose DSP's. A system consisting of 4 ASIC's and 2 Sharc DSP's is able to compute the enhanced NCCF of a free form template on images of 1024x1024 pixels within 134 ms (8 frames/s).
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信