Low complexity stereo matching algorithm using adaptive sized square window

Der-Wei Yang, Li-Chia Chu, Chun-Wei Chen, Jia-Ming Gan, Jonas Wang, Ming-Der Shieh
{"title":"Low complexity stereo matching algorithm using adaptive sized square window","authors":"Der-Wei Yang, Li-Chia Chu, Chun-Wei Chen, Jia-Ming Gan, Jonas Wang, Ming-Der Shieh","doi":"10.1109/VLSI-DAT.2014.6834897","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient stereo matching algorithm for hardware implementation. A low-complexity local window size decision rule is proposed in our processing scheme. The proper window size is adopted according to the local content characteristic. The matching computation cost is almost as low as the conventional fixed window size method. An efficient hardware architecture comprises unified window size processing elements is also developed. Experimental results reveal that the proposed design can achieve better quality than the related fixed window size method with the properties of low computation cost and hardware realizable flow.","PeriodicalId":267124,"journal":{"name":"Technical Papers of 2014 International Symposium on VLSI Design, Automation and Test","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technical Papers of 2014 International Symposium on VLSI Design, Automation and Test","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSI-DAT.2014.6834897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper presents an efficient stereo matching algorithm for hardware implementation. A low-complexity local window size decision rule is proposed in our processing scheme. The proper window size is adopted according to the local content characteristic. The matching computation cost is almost as low as the conventional fixed window size method. An efficient hardware architecture comprises unified window size processing elements is also developed. Experimental results reveal that the proposed design can achieve better quality than the related fixed window size method with the properties of low computation cost and hardware realizable flow.
基于自适应方形窗口大小的低复杂度立体匹配算法
本文提出了一种高效的立体匹配算法的硬件实现。在我们的处理方案中提出了一种低复杂度的局部窗口大小决策规则。根据局部内容的特点,选择合适的窗口大小。该方法的匹配计算量几乎与传统的固定窗口大小方法一样低。提出了一种由统一窗口尺寸处理单元组成的高效硬件体系结构。实验结果表明,该设计具有计算成本低、硬件可实现流程好等特点,比相关的固定窗口大小方法获得了更好的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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