Structure recovery with multiple cameras from scaled orthographic and perspective views
This paper presents a novel framework for Euclidean structure recovery utilizing a scaled orthographic view and perspective views simultaneously. A scaled orthographic view is introduced in order to automatically obtain camera parameters such as camera positions, orientation, and focal length. Scale...
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Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence 1999-07, Vol.21 (7), p.628-633 |
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creator | Marugame, A. Katto, J. Ohta, M. |
description | This paper presents a novel framework for Euclidean structure recovery utilizing a scaled orthographic view and perspective views simultaneously. A scaled orthographic view is introduced in order to automatically obtain camera parameters such as camera positions, orientation, and focal length. Scaled orthographic properties enable all camera parameters to be calculated implicitly and perspective properties enable a Euclidean structure to be recovered. The method can recover a Euclidean structure with at least seven point correspondences across a scaled orthographic view and perspective views. Experimental results for both computed and natural images verify that the method recovers structure with sufficient accuracy to demonstrate potential utility. The proposed method can be applied to an interface for 3D modeling, recognition and tracking. |
doi_str_mv | 10.1109/34.777373 |
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A scaled orthographic view is introduced in order to automatically obtain camera parameters such as camera positions, orientation, and focal length. Scaled orthographic properties enable all camera parameters to be calculated implicitly and perspective properties enable a Euclidean structure to be recovered. The method can recover a Euclidean structure with at least seven point correspondences across a scaled orthographic view and perspective views. Experimental results for both computed and natural images verify that the method recovers structure with sufficient accuracy to demonstrate potential utility. 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A scaled orthographic view is introduced in order to automatically obtain camera parameters such as camera positions, orientation, and focal length. Scaled orthographic properties enable all camera parameters to be calculated implicitly and perspective properties enable a Euclidean structure to be recovered. The method can recover a Euclidean structure with at least seven point correspondences across a scaled orthographic view and perspective views. Experimental results for both computed and natural images verify that the method recovers structure with sufficient accuracy to demonstrate potential utility. The proposed method can be applied to an interface for 3D modeling, recognition and tracking.</description><subject>Calibration</subject><subject>Cameras</subject><subject>Geometrical optics</subject><subject>Image sequences</subject><subject>Industrial relations</subject><subject>Layout</subject><subject>Length measurement</subject><subject>Lenses</subject><subject>Mathematical models</subject><subject>Orthographic</subject><subject>Recovery</subject><subject>Three dimensional</subject><subject>Tracking</subject><subject>Utilities</subject><issn>0162-8828</issn><issn>2160-9292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqF0c9LwzAUB_AgCs7pwaunnBQPnXlJ1iZHGf4CwYOKx5Imr67SrjVJN_bf29HhUeHBg_c-fC9fQs6BzQCYvhFylmWZyMQBmXBIWaK55odkwiDliVJcHZOTEL4YAzlnYkI-XqPvbew9Uo-2XaPf0k0Vl7Tp61h1NVJrGvQm0NK3DQ3W1Oho6-Oy_fSmW1aWmpWjHfrQoY3VGum6wk04JUelqQOe7feUvN_fvS0ek-eXh6fF7XNihWQxkUJp5Yw0WvPUyEJBCsCldcK5eSrKAhyzhQMnLMsAGSouC60KEDhcUyWm5GrM7Xz73WOIeVMFi3VtVtj2IdcwJA8jBnn5p-QqBcWB_w8zkDs5wOsRWt-G4LHMO181xm9zYPmujVzIfGxjsBejrRDx1-2fP2HlhWw</recordid><startdate>19990701</startdate><enddate>19990701</enddate><creator>Marugame, A.</creator><creator>Katto, J.</creator><creator>Ohta, M.</creator><general>IEEE</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7SP</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>19990701</creationdate><title>Structure recovery with multiple cameras from scaled orthographic and perspective views</title><author>Marugame, A. ; Katto, J. ; Ohta, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c340t-43898da4a9926a4b8161124cd3dd563fb1d0cbd1d3c071e0e824b98b13ebd1683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Calibration</topic><topic>Cameras</topic><topic>Geometrical optics</topic><topic>Image sequences</topic><topic>Industrial relations</topic><topic>Layout</topic><topic>Length measurement</topic><topic>Lenses</topic><topic>Mathematical models</topic><topic>Orthographic</topic><topic>Recovery</topic><topic>Three dimensional</topic><topic>Tracking</topic><topic>Utilities</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marugame, A.</creatorcontrib><creatorcontrib>Katto, J.</creatorcontrib><creatorcontrib>Ohta, M.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems 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><collection>Electronics & Communications Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on pattern analysis and machine intelligence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Marugame, A.</au><au>Katto, J.</au><au>Ohta, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Structure recovery with multiple cameras from scaled orthographic and perspective views</atitle><jtitle>IEEE transactions on pattern analysis and machine intelligence</jtitle><stitle>TPAMI</stitle><date>1999-07-01</date><risdate>1999</risdate><volume>21</volume><issue>7</issue><spage>628</spage><epage>633</epage><pages>628-633</pages><issn>0162-8828</issn><eissn>2160-9292</eissn><coden>ITPIDJ</coden><abstract>This paper presents a novel framework for Euclidean structure recovery utilizing a scaled orthographic view and perspective views simultaneously. A scaled orthographic view is introduced in order to automatically obtain camera parameters such as camera positions, orientation, and focal length. Scaled orthographic properties enable all camera parameters to be calculated implicitly and perspective properties enable a Euclidean structure to be recovered. The method can recover a Euclidean structure with at least seven point correspondences across a scaled orthographic view and perspective views. Experimental results for both computed and natural images verify that the method recovers structure with sufficient accuracy to demonstrate potential utility. The proposed method can be applied to an interface for 3D modeling, recognition and tracking.</abstract><pub>IEEE</pub><doi>10.1109/34.777373</doi><tpages>6</tpages></addata></record> |
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subjects | Calibration Cameras Geometrical optics Image sequences Industrial relations Layout Length measurement Lenses Mathematical models Orthographic Recovery Three dimensional Tracking Utilities |
title | Structure recovery with multiple cameras from scaled orthographic and perspective views |
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