{"id":"https://openalex.org/W2113790644","doi":"https://doi.org/10.1109/iccv.2007.4409081","title":"3-D Metric Reconstruction and Registration of Images of Near-planar Surfaces","display_name":"3-D Metric Reconstruction and Registration of Images of Near-planar Surfaces","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2113790644","doi":"https://doi.org/10.1109/iccv.2007.4409081","mag":"2113790644"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4409081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109454552","display_name":"Tae Eun Choe","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tae Eun Choe","raw_affiliation_strings":["Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA, USA","University of Southern California , Los Angeles#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California , Los Angeles#TAB#","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110273090","display_name":"G\u00e9rard Medioni","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerard Medioni","raw_affiliation_strings":["Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA, USA","University of Southern California , Los Angeles#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California , Los Angeles#TAB#","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.3289,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63782026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7564061880111694},{"id":"https://openalex.org/keywords/planarity-testing","display_name":"Planarity testing","score":0.7465708255767822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7394832372665405},{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.7299895882606506},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6161559224128723},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.5869744420051575},{"id":"https://openalex.org/keywords/parallax","display_name":"Parallax","score":0.527846097946167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5191670656204224},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.45537787675857544},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.4190284013748169},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3732011914253235},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.29054567217826843},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2602913975715637}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7564061880111694},{"id":"https://openalex.org/C68260962","wikidata":"https://www.wikidata.org/wiki/Q7200967","display_name":"Planarity testing","level":2,"score":0.7465708255767822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7394832372665405},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.7299895882606506},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6161559224128723},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.5869744420051575},{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.527846097946167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5191670656204224},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.45537787675857544},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4190284013748169},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3732011914253235},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.29054567217826843},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2602913975715637},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv.2007.4409081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5799999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1554036100","https://openalex.org/W1598118858","https://openalex.org/W1663704817","https://openalex.org/W1874027545","https://openalex.org/W1990254675","https://openalex.org/W2049981393","https://openalex.org/W2057771956","https://openalex.org/W2104223983","https://openalex.org/W2119541738","https://openalex.org/W2124313187","https://openalex.org/W2129606894","https://openalex.org/W2142651901","https://openalex.org/W2151103935","https://openalex.org/W2162137128","https://openalex.org/W3152336969","https://openalex.org/W4243684731","https://openalex.org/W6635804134","https://openalex.org/W6637187423","https://openalex.org/W6675468141","https://openalex.org/W6677737982","https://openalex.org/W6678941962"],"related_works":["https://openalex.org/W132764016","https://openalex.org/W2148054235","https://openalex.org/W2132043085","https://openalex.org/W4251504644","https://openalex.org/W1721537561","https://openalex.org/W2751063144","https://openalex.org/W2995498265","https://openalex.org/W1985830928","https://openalex.org/W2406670120","https://openalex.org/W2004690548"],"abstract_inverted_index":{"In":[0,176],"this":[1,57],"study,":[2],"we":[3],"address":[4],"the":[5,19,35,42,64,87,100,129,139,163,167,205],"problem":[6,58],"of":[7,63,181],"3-D":[8,156,164,186],"dense":[9,115,134],"metric":[10,91,135],"reconstruction":[11,187],"and":[12,74,98,154,195],"registration":[13],"from":[14],"multiple":[15],"images,":[16],"given":[17],"that":[18],"observed":[20],"surface":[21],"is":[22,26,37,60,69,83,125,147,173,184,188,193],"nearly":[23],"planar.":[24],"This":[25],"difficult,":[27],"as":[28,202],"classical":[29],"methods":[30],"work":[31],"well":[32],"only":[33],"if":[34],"scene":[36,43],"truly":[38],"planar":[39],"(mosaicing)":[40],"or":[41],"has":[44],"certain":[45],"significant":[46],"depth":[47,136],"variations":[48],"(classical":[49],"Structure-from-":[50],"Motion":[51],"(SfM)).":[52],"One":[53],"domain":[54],"in":[55,90,204],"which":[56],"occurs":[59],"image":[61],"analysis":[62],"retinal":[65],"fundus.":[66],"Our":[67],"approach":[68],"to":[70,85,112,127,149,162,199],"first":[71,80],"assume":[72],"planarity,":[73],"perform":[75],"2-D":[76],"global":[77],"registration.":[78,169],"A":[79,121,143],"bundle":[81,123,145],"adjustment":[82,124,146],"applied":[84,126,198],"find":[86],"camera":[88,141,152],"positions":[89,153],"space.":[92],"We":[93],"then":[94],"select":[95],"two":[96],"images":[97,109,159],"compute":[99],"epipolar":[101],"geometry":[102],"between":[103],"them":[104],"using":[105,118],"plane+parallax":[106],"approach.":[107],"These":[108],"are":[110,160],"matched":[111],"generate":[113],"a":[114,133,155,178],"disparity":[116,130],"map":[117,131],"mutual":[119],"information.":[120],"second":[122],"transform":[128],"into":[132],"map,":[137],"fixing":[138],"2":[140],"positions.":[142],"third":[144],"performed":[148],"refine":[150],"both":[151],"structure.":[157],"All":[158],"back-projected":[161],"structure":[165],"for":[166],"final":[168],"The":[170,191],"entire":[171],"process":[172],"fully":[174],"automatic.":[175],"addition,":[177],"clear":[179],"definition":[180],"\"near-planarity":[182],"\"":[183],"provided.":[185],"shown":[189,203],"visually.":[190],"method":[192],"general,":[194],"can":[196],"be":[197],"other":[200],"domains,":[201],"experiments.":[206]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}