Feature Identification in Archaeological Fragments Using Families of Algebraic Curves

M. Torrente, S. Biasotti, B. Falcidieno
{"title":"Feature Identification in Archaeological Fragments Using Families of Algebraic Curves","authors":"M. Torrente, S. Biasotti, B. Falcidieno","doi":"10.2312/gch.20161389","DOIUrl":null,"url":null,"abstract":"A method is proposed to identify and localize semantic features like anatomical characteristics or decorations on digital artefacts or fragments, even if the features are partially damaged or incomplete. This technique is based on a novel generalization of the Hough transform. Its major advantages are the relative robustness to noise and the recognition power also in the case of partial features. Our experiments on digital models of real artefacts show the potential of the method, which can work on both 3D meshes and point clouds.","PeriodicalId":203827,"journal":{"name":"Eurographics Workshop on Graphics and Cultural Heritage","volume":"47 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurographics Workshop on Graphics and Cultural Heritage","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2312/gch.20161389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

A method is proposed to identify and localize semantic features like anatomical characteristics or decorations on digital artefacts or fragments, even if the features are partially damaged or incomplete. This technique is based on a novel generalization of the Hough transform. Its major advantages are the relative robustness to noise and the recognition power also in the case of partial features. Our experiments on digital models of real artefacts show the potential of the method, which can work on both 3D meshes and point clouds.
基于代数曲线族的考古碎片特征识别
提出了一种方法来识别和定位语义特征,如数字人工制品或碎片上的解剖特征或装饰,即使这些特征部分受损或不完整。该技术是基于霍夫变换的一种新的推广。它的主要优点是对噪声具有相对的鲁棒性,并且在局部特征的情况下也具有较好的识别能力。我们在真实人工制品的数字模型上的实验显示了该方法的潜力,它可以在3D网格和点云上工作。
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