MERGING THREE-DIMENSIONAL MODELS BASED ON CONFIDENCE SCORES
In an embodiment, a method merges a plurality of three-dimensional models, each having been generated from images of a camera having a different viewpoint. For respective voxels in a plurality of voxels, a plurality of distance values are determined. Each determined distance value is a distance from...
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| creator | ALLEN BRETT LIN MICHAEL HONGMAI REINHARDT TILMAN GOLOVINSKIY ALEKSEY |
| description | In an embodiment, a method merges a plurality of three-dimensional models, each having been generated from images of a camera having a different viewpoint. For respective voxels in a plurality of voxels, a plurality of distance values are determined. Each determined distance value is a distance from the voxel to a three dimensional model from the plurality of three-dimensional models along a perspective of a camera model used to generate the three-dimensional model. When at least one of the determined distance values indicates that the distance between the voxel and the three dimensional model exceeds a threshold and the voxel is located above the corresponding three-dimensional model, a confidence score is determined indicating a degree to which the perspective of the camera model of the corresponding three-dimensional model is oriented to face the voxel. Based on the determined confidence score, the voxel into a merged three-dimensional model is determined. |
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For respective voxels in a plurality of voxels, a plurality of distance values are determined. Each determined distance value is a distance from the voxel to a three dimensional model from the plurality of three-dimensional models along a perspective of a camera model used to generate the three-dimensional model. When at least one of the determined distance values indicates that the distance between the voxel and the three dimensional model exceeds a threshold and the voxel is located above the corresponding three-dimensional model, a confidence score is determined indicating a degree to which the perspective of the camera model of the corresponding three-dimensional model is oriented to face the voxel. Based on the determined confidence score, the voxel into a merged three-dimensional model is determined.</description><language>eng ; kor</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2013</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20131203&DB=EPODOC&CC=KR&NR=20130131444A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20131203&DB=EPODOC&CC=KR&NR=20130131444A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ALLEN BRETT</creatorcontrib><creatorcontrib>LIN MICHAEL HONGMAI</creatorcontrib><creatorcontrib>REINHARDT TILMAN</creatorcontrib><creatorcontrib>GOLOVINSKIY ALEKSEY</creatorcontrib><title>MERGING THREE-DIMENSIONAL MODELS BASED ON CONFIDENCE SCORES</title><description>In an embodiment, a method merges a plurality of three-dimensional models, each having been generated from images of a camera having a different viewpoint. For respective voxels in a plurality of voxels, a plurality of distance values are determined. Each determined distance value is a distance from the voxel to a three dimensional model from the plurality of three-dimensional models along a perspective of a camera model used to generate the three-dimensional model. When at least one of the determined distance values indicates that the distance between the voxel and the three dimensional model exceeds a threshold and the voxel is located above the corresponding three-dimensional model, a confidence score is determined indicating a degree to which the perspective of the camera model of the corresponding three-dimensional model is oriented to face the voxel. Based on the determined confidence score, the voxel into a merged three-dimensional model is determined.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2013</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLD2dQ1y9_RzVwjxCHJ11XXx9HX1C_b093P0UfD1d3H1CVZwcgx2dVHw91Nw9vdz83Rx9XN2VQh29g9yDeZhYE1LzClO5YXS3AzKbq4hzh66qQX58anFBYnJqXmpJfHeQUYGhsZAZGhiYuJoTJwqAG2PKeo</recordid><startdate>20131203</startdate><enddate>20131203</enddate><creator>ALLEN BRETT</creator><creator>LIN MICHAEL HONGMAI</creator><creator>REINHARDT TILMAN</creator><creator>GOLOVINSKIY ALEKSEY</creator><scope>EVB</scope></search><sort><creationdate>20131203</creationdate><title>MERGING THREE-DIMENSIONAL MODELS BASED ON CONFIDENCE SCORES</title><author>ALLEN BRETT ; LIN MICHAEL HONGMAI ; REINHARDT TILMAN ; GOLOVINSKIY ALEKSEY</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20130131444A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2013</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>ALLEN BRETT</creatorcontrib><creatorcontrib>LIN MICHAEL HONGMAI</creatorcontrib><creatorcontrib>REINHARDT TILMAN</creatorcontrib><creatorcontrib>GOLOVINSKIY ALEKSEY</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ALLEN BRETT</au><au>LIN MICHAEL HONGMAI</au><au>REINHARDT TILMAN</au><au>GOLOVINSKIY ALEKSEY</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>MERGING THREE-DIMENSIONAL MODELS BASED ON CONFIDENCE SCORES</title><date>2013-12-03</date><risdate>2013</risdate><abstract>In an embodiment, a method merges a plurality of three-dimensional models, each having been generated from images of a camera having a different viewpoint. For respective voxels in a plurality of voxels, a plurality of distance values are determined. Each determined distance value is a distance from the voxel to a three dimensional model from the plurality of three-dimensional models along a perspective of a camera model used to generate the three-dimensional model. When at least one of the determined distance values indicates that the distance between the voxel and the three dimensional model exceeds a threshold and the voxel is located above the corresponding three-dimensional model, a confidence score is determined indicating a degree to which the perspective of the camera model of the corresponding three-dimensional model is oriented to face the voxel. Based on the determined confidence score, the voxel into a merged three-dimensional model is determined.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | MERGING THREE-DIMENSIONAL MODELS BASED ON CONFIDENCE SCORES |
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