基于测地线偏心率的三维形状匹配

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2008-06-23 DOI:10.1109/CVPRW.2008.4563032

Adrian Ion, N. Artner, G. Peyré, S. Mármol, W. Kropatsch, L. Cohen

{"title":"基于测地线偏心率的三维形状匹配","authors":"Adrian Ion, N. Artner, G. Peyré, S. Mármol, W. Kropatsch, L. Cohen","doi":"10.1109/CVPRW.2008.4563032","DOIUrl":null,"url":null,"abstract":"This paper makes use of the continuous eccentricity transform to perform 3D shape matching. The eccentricity transform has already been proved useful in a discrete graph-theoretic setting and has been applied to 2D shape matching. We show how these ideas extend to higher dimensions. The eccentricity transform is used to compute descriptors for 3D shapes. These descriptors are defined as histograms of the eccentricity transform and are naturally invariant to Euclidean motion and articulation. They show promising results for shape discrimination.","PeriodicalId":102206,"journal":{"name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"3D shape matching by geodesic eccentricity\",\"authors\":\"Adrian Ion, N. Artner, G. Peyré, S. Mármol, W. Kropatsch, L. Cohen\",\"doi\":\"10.1109/CVPRW.2008.4563032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper makes use of the continuous eccentricity transform to perform 3D shape matching. The eccentricity transform has already been proved useful in a discrete graph-theoretic setting and has been applied to 2D shape matching. We show how these ideas extend to higher dimensions. The eccentricity transform is used to compute descriptors for 3D shapes. These descriptors are defined as histograms of the eccentricity transform and are naturally invariant to Euclidean motion and articulation. They show promising results for shape discrimination.\",\"PeriodicalId\":102206,\"journal\":{\"name\":\"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CVPRW.2008.4563032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVPRW.2008.4563032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 33

摘要

本文利用连续偏心变换进行三维形状匹配。偏心变换已被证明在离散图论环境下是有用的，并已应用于二维形状匹配。我们将展示这些思想如何扩展到更高的维度。偏心变换用于计算三维形状的描述符。这些描述符被定义为偏心变换的直方图，对欧几里得运动和关节是自然不变的。它们在形状识别方面显示出令人鼓舞的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

3D shape matching by geodesic eccentricity

This paper makes use of the continuous eccentricity transform to perform 3D shape matching. The eccentricity transform has already been proved useful in a discrete graph-theoretic setting and has been applied to 2D shape matching. We show how these ideas extend to higher dimensions. The eccentricity transform is used to compute descriptors for 3D shapes. These descriptors are defined as histograms of the eccentricity transform and are naturally invariant to Euclidean motion and articulation. They show promising results for shape discrimination.

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

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

自引率

0.00%

发文量