Content-Based 3-D Model Retrieval: A Survey
As the number of available 3D models grows, there is an increasing need to index and retrieve them according to their contents. This paper provides a survey of the up-to-date methods for content-based 3D model retrieval. First, the new challenges encountered in 3D model retrieval are discussed. Then...
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Veröffentlicht in: | IEEE transactions on human-machine systems 2007-11, Vol.37 (6), p.1081-1098 |
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creator | Yang, Yubin Lin, Hui Zhang, Yao |
description | As the number of available 3D models grows, there is an increasing need to index and retrieve them according to their contents. This paper provides a survey of the up-to-date methods for content-based 3D model retrieval. First, the new challenges encountered in 3D model retrieval are discussed. Then, the system framework and some key techniques of content-based 3D model retrieval are identified and explained, including canonical coordinate normalization and preprocessing, feature extraction, similarity match, query representation and user interface, and performance evaluation. In particular, similarity measures using semantic clues and machine learning methods, as well as retrieval approaches using nonshape features, are given adequate recognition as improvements and complements for traditional shape-matching techniques. Typical 3D model retrieval systems and search engines are also listed and compared. Finally, future research directions are indicated, and an extensive bibliography is provided. |
doi_str_mv | 10.1109/TSMCC.2007.905756 |
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Computational geometry</subject><subject>Preprocessing</subject><subject>query interface</subject><subject>Retrieval</subject><subject>Search engines</subject><subject>Semantics</subject><subject>Shape</subject><subject>Similarity</subject><subject>similarity match</subject><subject>Software</subject><subject>Solid modeling</subject><subject>Three dimensional models</subject><subject>User interfaces</subject><issn>1094-6977</issn><issn>2168-2291</issn><issn>1558-2442</issn><issn>2168-2305</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkNtKw0AQhhdRsFYfQLwJgiBI6p4P3tV4hBbB1utlTWYhJU10Nyn07U0PKHg1A_PNzM-H0DnBI0KwuZ3Pplk2ohirkcFCCXmABkQInVLO6WHfY8NTaZQ6RicxLjAmnBs2QDdZU7dQt-m9i1AkLH1Ipk0BVfIObShh5aq7ZJzMurCC9Sk68q6KcLavQ_Tx9DjPXtLJ2_NrNp6kOROiTTmXmnufu_6dB2akzwtiGMa0cP5TeizAaCccdZI6rzmVRnsQzGtfqBw7NkTXu7tfofnuILZ2WcYcqsrV0HTREqkIp4wb3qOX_9BF04W6T2e15FQrKVUPkR2UhybGAN5-hXLpwtoSbDf27Nae3dizO3v9ztX-sIu5q3xwdV7Gv0VDNGbbABc7rgSA3zFnnPeK2Q9GzXVt</recordid><startdate>20071101</startdate><enddate>20071101</enddate><creator>Yang, Yubin</creator><creator>Lin, Hui</creator><creator>Zhang, Yao</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Data bases</topic><topic>Memory organisation. Data processing</topic><topic>Particle measurements</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Preprocessing</topic><topic>query interface</topic><topic>Retrieval</topic><topic>Search engines</topic><topic>Semantics</topic><topic>Shape</topic><topic>Similarity</topic><topic>similarity match</topic><topic>Software</topic><topic>Solid modeling</topic><topic>Three dimensional models</topic><topic>User interfaces</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Yubin</creatorcontrib><creatorcontrib>Lin, Hui</creatorcontrib><creatorcontrib>Zhang, Yao</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on human-machine systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yang, Yubin</au><au>Lin, Hui</au><au>Zhang, Yao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Content-Based 3-D Model Retrieval: A Survey</atitle><jtitle>IEEE transactions on human-machine systems</jtitle><stitle>TSMCC</stitle><date>2007-11-01</date><risdate>2007</risdate><volume>37</volume><issue>6</issue><spage>1081</spage><epage>1098</epage><pages>1081-1098</pages><issn>1094-6977</issn><issn>2168-2291</issn><eissn>1558-2442</eissn><eissn>2168-2305</eissn><coden>ITCRFH</coden><abstract>As the number of available 3D models grows, there is an increasing need to index and retrieve them according to their contents. 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subjects | 3-D object 3-D shape Applied sciences Artificial intelligence Biological system modeling Biology computing Complement Computational biology Computer science control theory systems Content based retrieval Design automation Exact sciences and technology Feature extraction Information systems. Data bases Memory organisation. Data processing Particle measurements Pattern recognition. Digital image processing. Computational geometry Preprocessing query interface Retrieval Search engines Semantics Shape Similarity similarity match Software Solid modeling Three dimensional models User interfaces |
title | Content-Based 3-D Model Retrieval: A Survey |
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