基于模糊分段匹配的立体深度估计

K. Wegner, O. Stankiewicz, M. Domański
{"title":"基于模糊分段匹配的立体深度估计","authors":"K. Wegner, O. Stankiewicz, M. Domański","doi":"10.1109/PCS.2010.5702443","DOIUrl":null,"url":null,"abstract":"Stereo matching techniques usually match segments or blocks of pixels. This paper proposes to match segments defined as fuzzy sets of pixels. The proposed matching method is applicable to various techniques of stereo matching as well as to different measures of differences between pixels. In the paper, embedment of this approach into the state-of-the-art depth estimation software is described. Obtained experimental results show that the proposed way of stereo matching increases reliability of various depth estimation techniques.","PeriodicalId":255142,"journal":{"name":"28th Picture Coding Symposium","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Stereoscopic depth estimation using fuzzy segment matching\",\"authors\":\"K. Wegner, O. Stankiewicz, M. Domański\",\"doi\":\"10.1109/PCS.2010.5702443\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stereo matching techniques usually match segments or blocks of pixels. This paper proposes to match segments defined as fuzzy sets of pixels. The proposed matching method is applicable to various techniques of stereo matching as well as to different measures of differences between pixels. In the paper, embedment of this approach into the state-of-the-art depth estimation software is described. Obtained experimental results show that the proposed way of stereo matching increases reliability of various depth estimation techniques.\",\"PeriodicalId\":255142,\"journal\":{\"name\":\"28th Picture Coding Symposium\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"28th Picture Coding Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCS.2010.5702443\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"28th Picture Coding Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCS.2010.5702443","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

立体匹配技术通常匹配像素段或像素块。本文提出了一种定义为模糊像素集的分段匹配方法。所提出的匹配方法适用于各种立体匹配技术,也适用于像素间差异的不同度量。本文描述了将这种方法嵌入到最先进的深度估计软件中。实验结果表明,所提出的立体匹配方法提高了各种深度估计技术的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stereoscopic depth estimation using fuzzy segment matching
Stereo matching techniques usually match segments or blocks of pixels. This paper proposes to match segments defined as fuzzy sets of pixels. The proposed matching method is applicable to various techniques of stereo matching as well as to different measures of differences between pixels. In the paper, embedment of this approach into the state-of-the-art depth estimation software is described. Obtained experimental results show that the proposed way of stereo matching increases reliability of various depth estimation techniques.
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