A Survey and Technology Trends of 3D Features for Object Recognition
SUMMARY Recently, various kinks of three‐dimensional (3D) imaging devices such as laser range finder or time‐of‐flight sensor become popular, so a lot of practical algorithms for recognizing 3D objects using “point cloud data” have been proposed. In this paper, we will introduce typical object recog...
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| Veröffentlicht in: | Electronics and communications in Japan 2017-11, Vol.100 (11), p.31-42 |
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| container_end_page | 42 |
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| container_issue | 11 |
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| container_title | Electronics and communications in Japan |
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| creator | HASHIMOTO, MANABU AKIZUKI, SHUICHI TAKEI, SHOICHI |
| description | SUMMARY
Recently, various kinks of three‐dimensional (3D) imaging devices such as laser range finder or time‐of‐flight sensor become popular, so a lot of practical algorithms for recognizing 3D objects using “point cloud data” have been proposed. In this paper, we will introduce typical object recognition approaches and survey various kinds of 3D features proposed by many researchers. As for some important techniques, their principle and characteristics are explained in detail. Also we will mention about the local reference frame that is very important factor to realize stable feature description and accurate pose estimation in practical use. |
| doi_str_mv | 10.1002/ecj.11992 |
| format | Article |
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Recently, various kinks of three‐dimensional (3D) imaging devices such as laser range finder or time‐of‐flight sensor become popular, so a lot of practical algorithms for recognizing 3D objects using “point cloud data” have been proposed. In this paper, we will introduce typical object recognition approaches and survey various kinds of 3D features proposed by many researchers. As for some important techniques, their principle and characteristics are explained in detail. Also we will mention about the local reference frame that is very important factor to realize stable feature description and accurate pose estimation in practical use.</description><identifier>ISSN: 1942-9533</identifier><identifier>EISSN: 1942-9541</identifier><identifier>DOI: 10.1002/ecj.11992</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc</publisher><subject>3D features ; Feature recognition ; local reference frame ; Object recognition ; robot vision ; Three dimensional models</subject><ispartof>Electronics and communications in Japan, 2017-11, Vol.100 (11), p.31-42</ispartof><rights>2017 Wiley Periodicals, Inc.</rights><rights>Copyright © 2017 by Wiley Periodicals, Inc.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3632-b6b6042efa5fc48883184f7d696c58174fc8d873169ced069935c6ebd2aa74d23</citedby><cites>FETCH-LOGICAL-c3632-b6b6042efa5fc48883184f7d696c58174fc8d873169ced069935c6ebd2aa74d23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fecj.11992$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fecj.11992$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>HASHIMOTO, MANABU</creatorcontrib><creatorcontrib>AKIZUKI, SHUICHI</creatorcontrib><creatorcontrib>TAKEI, SHOICHI</creatorcontrib><title>A Survey and Technology Trends of 3D Features for Object Recognition</title><title>Electronics and communications in Japan</title><description>SUMMARY
Recently, various kinks of three‐dimensional (3D) imaging devices such as laser range finder or time‐of‐flight sensor become popular, so a lot of practical algorithms for recognizing 3D objects using “point cloud data” have been proposed. In this paper, we will introduce typical object recognition approaches and survey various kinds of 3D features proposed by many researchers. As for some important techniques, their principle and characteristics are explained in detail. Also we will mention about the local reference frame that is very important factor to realize stable feature description and accurate pose estimation in practical use.</description><subject>3D features</subject><subject>Feature recognition</subject><subject>local reference frame</subject><subject>Object recognition</subject><subject>robot vision</subject><subject>Three dimensional models</subject><issn>1942-9533</issn><issn>1942-9541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kMtOwzAQRS0EEqWw4A8ssWKR1q848bLqg4cqVYKwthJnXBKVuNgJKH9PIIgdq7mLM3M1B6FrSmaUEDYHU88oVYqdoAlVgkUqFvT0L3N-ji5CqAmRIhZ8glYL_Nz5D-hx3pQ4A_PauIPb9zjz0JQBO4v5Cm8gbzsPAVvn8a6owbT4CYzbN1VbueYSndn8EODqd07Ry2adLe-j7e7uYbnYRoZLzqJCFpIIBjaPrRFpmnKaCpuUUkkTpzQR1qRlmnAqlYGSSKV4bCQUJcvzRJSMT9HNePfo3XsHodW163wzVOrhP0UYY5QO1O1IGe9C8GD10Vdvue81Jfpbkh4k6R9JAzsf2c_qAP3_oF4vH8eNLwSdZog</recordid><startdate>201711</startdate><enddate>201711</enddate><creator>HASHIMOTO, MANABU</creator><creator>AKIZUKI, SHUICHI</creator><creator>TAKEI, SHOICHI</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201711</creationdate><title>A Survey and Technology Trends of 3D Features for Object Recognition</title><author>HASHIMOTO, MANABU ; AKIZUKI, SHUICHI ; TAKEI, SHOICHI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3632-b6b6042efa5fc48883184f7d696c58174fc8d873169ced069935c6ebd2aa74d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>3D features</topic><topic>Feature recognition</topic><topic>local reference frame</topic><topic>Object recognition</topic><topic>robot vision</topic><topic>Three dimensional models</topic><toplevel>online_resources</toplevel><creatorcontrib>HASHIMOTO, MANABU</creatorcontrib><creatorcontrib>AKIZUKI, SHUICHI</creatorcontrib><creatorcontrib>TAKEI, SHOICHI</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology 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><jtitle>Electronics and communications in Japan</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>HASHIMOTO, MANABU</au><au>AKIZUKI, SHUICHI</au><au>TAKEI, SHOICHI</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Survey and Technology Trends of 3D Features for Object Recognition</atitle><jtitle>Electronics and communications in Japan</jtitle><date>2017-11</date><risdate>2017</risdate><volume>100</volume><issue>11</issue><spage>31</spage><epage>42</epage><pages>31-42</pages><issn>1942-9533</issn><eissn>1942-9541</eissn><abstract>SUMMARY
Recently, various kinks of three‐dimensional (3D) imaging devices such as laser range finder or time‐of‐flight sensor become popular, so a lot of practical algorithms for recognizing 3D objects using “point cloud data” have been proposed. In this paper, we will introduce typical object recognition approaches and survey various kinds of 3D features proposed by many researchers. As for some important techniques, their principle and characteristics are explained in detail. Also we will mention about the local reference frame that is very important factor to realize stable feature description and accurate pose estimation in practical use.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/ecj.11992</doi><tpages>12</tpages></addata></record> |
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| ispartof | Electronics and communications in Japan, 2017-11, Vol.100 (11), p.31-42 |
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| source | Wiley Online Library Journals Frontfile Complete; Business Source Complete |
| subjects | 3D features Feature recognition local reference frame Object recognition robot vision Three dimensional models |
| title | A Survey and Technology Trends of 3D Features for Object Recognition |
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