Retrieval of 3D objects using curvature maps and weighted walkthroughs

J. Assfalg, A. Bimbo, P. Pala
{"title":"Retrieval of 3D objects using curvature maps and weighted walkthroughs","authors":"J. Assfalg, A. Bimbo, P. Pala","doi":"10.1109/ICIAP.2003.1234074","DOIUrl":null,"url":null,"abstract":"In the field of content-based retrieval of multimedia documents, 3D models have recently gained increasing attention for a number of reasons: advancements in 3D hardware and software technologies; their ever decreasing prices and increasing availability; affordable 3D authoring tools; the establishment of such open standards for 3D data interchange as VRML and X3D. We present a solution for content-based retrieval of 3D models that relies on a description of each model by means of a curvature map. After an initial preprocessing of the model, differential properties of points on the surface of the 3D object are evaluated; the model surface is then warped into an ellipsoid, and is mapped onto a 2D image, retaining the curvature information of the original model. Matching is performed by comparing the map of the query against the maps of database models. In particular, this approach exploits weighted walkthroughs to describe curvature maps. Experimental results reveal that this technique, initially developed to describe images, can be successfully applied to curvature maps.","PeriodicalId":218076,"journal":{"name":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAP.2003.1234074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

In the field of content-based retrieval of multimedia documents, 3D models have recently gained increasing attention for a number of reasons: advancements in 3D hardware and software technologies; their ever decreasing prices and increasing availability; affordable 3D authoring tools; the establishment of such open standards for 3D data interchange as VRML and X3D. We present a solution for content-based retrieval of 3D models that relies on a description of each model by means of a curvature map. After an initial preprocessing of the model, differential properties of points on the surface of the 3D object are evaluated; the model surface is then warped into an ellipsoid, and is mapped onto a 2D image, retaining the curvature information of the original model. Matching is performed by comparing the map of the query against the maps of database models. In particular, this approach exploits weighted walkthroughs to describe curvature maps. Experimental results reveal that this technique, initially developed to describe images, can be successfully applied to curvature maps.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用曲率映射和加权演练检索3D对象
在基于内容的多媒体文档检索领域,三维模型近年来受到越来越多的关注,原因有:三维硬件和软件技术的进步;它们不断下降的价格和越来越多的可用性;实惠的3D创作工具;VRML和X3D等3D数据交换开放标准的建立。我们提出了一种基于内容的三维模型检索的解决方案,该方案依赖于通过曲率图对每个模型的描述。对模型进行初始预处理后,计算三维物体表面上点的微分属性;然后将模型表面弯曲成椭球,并映射到二维图像上,保留原始模型的曲率信息。匹配是通过将查询映射与数据库模型映射进行比较来执行的。特别是,这种方法利用加权演练来描述曲率映射。实验结果表明,这种最初用于描述图像的技术可以成功地应用于曲率映射。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Classification method for colored natural textures using Gabor filtering Perceptive visual texture classification and retrieval Deferring range/domain comparisons in fractal image compression Modeling the world: the virtualization pipeline A graphics hardware implementation of the generalized Hough transform for fast object recognition, scale, and 3D pose detection
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1