{"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.