{"id":"https://openalex.org/W2163320540","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000454","title":"Multistep Explicit Stereo Camera Calibration Approach to Improve Euclidean Accuracy of Large-Scale 3D Reconstruction","display_name":"Multistep Explicit Stereo Camera Calibration Approach to Improve Euclidean Accuracy of Large-Scale 3D Reconstruction","publication_year":2014,"publication_date":"2014-11-17","ids":{"openalex":"https://openalex.org/W2163320540","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000454","mag":"2163320540"},"language":"en","primary_location":{"id":"doi:10.1061/(asce)cp.1943-5487.0000454","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000454","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.repository.cam.ac.uk/bitstreams/91e1a088-06a0-404d-a152-5379d5ff2193/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102838215","display_name":"Habib Fathi","orcid":"https://orcid.org/0000-0002-2529-6894"},"institutions":[{"id":"https://openalex.org/I2801765881","display_name":"Point University","ror":"https://ror.org/01e249g49","country_code":"US","type":"education","lineage":["https://openalex.org/I2801765881"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Habib Fathi","raw_affiliation_strings":["CTO, Pointivo Inc., 75 5th St. W, Suite 113, Atlanta, GA 30308 (corresponding author)"],"affiliations":[{"raw_affiliation_string":"CTO, Pointivo Inc., 75 5th St. W, Suite 113, Atlanta, GA 30308 (corresponding author)","institution_ids":["https://openalex.org/I2801765881"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009407093","display_name":"Ioannis Brilakis","orcid":"https://orcid.org/0000-0003-1829-2083"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]},{"id":"https://openalex.org/I4210127457","display_name":"Laing O'Rourke (United Kingdom)","ror":"https://ror.org/02gxffd98","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210127457"]}],"countries":["GB","SS"],"is_corresponding":false,"raw_author_name":"Ioannis Brilakis","raw_affiliation_strings":["Laing O\u2019Rourke Lecturer of Construction Engineering, Dept. of Engineering, Univ. of Cambridge, Cambridge CB2 1TN, U.K"],"affiliations":[{"raw_affiliation_string":"Laing O\u2019Rourke Lecturer of Construction Engineering, Dept. of Engineering, Univ. of Cambridge, Cambridge CB2 1TN, U.K","institution_ids":["https://openalex.org/I241749","https://openalex.org/I4210096386","https://openalex.org/I4210127457"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102838215"],"corresponding_institution_ids":["https://openalex.org/I2801765881"],"apc_list":null,"apc_paid":null,"fwci":3.2127,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93894217,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","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/T10638","display_name":"Optical measurement and interference techniques","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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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":0.7721744775772095},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.7342274785041809},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.7277200222015381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7228841781616211},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6909791231155396},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6880124807357788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6407212018966675},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.579632580280304},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.542851448059082},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.5083786845207214},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5012195110321045},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49282124638557434},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.4188944697380066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2547808587551117},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.21262195706367493},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09962186217308044}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7721744775772095},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.7342274785041809},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.7277200222015381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7228841781616211},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6909791231155396},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6880124807357788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6407212018966675},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.579632580280304},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.542851448059082},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.5083786845207214},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5012195110321045},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49282124638557434},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4188944697380066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2547808587551117},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.21262195706367493},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09962186217308044},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1061/(asce)cp.1943-5487.0000454","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000454","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/246880","is_oa":true,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/246880","pdf_url":"https://www.repository.cam.ac.uk/bitstreams/91e1a088-06a0-404d-a152-5379d5ff2193/download","source":{"id":"https://openalex.org/S4306401776","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:generic.eprints.org:662322","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/662322/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:www.repository.cam.ac.uk:1810/246880","is_oa":true,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/246880","pdf_url":"https://www.repository.cam.ac.uk/bitstreams/91e1a088-06a0-404d-a152-5379d5ff2193/download","source":{"id":"https://openalex.org/S4306401776","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2854561769","display_name":null,"funder_award_id":"EP/I019308/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6514736062","display_name":null,"funder_award_id":"EP/L010917/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6732657250","display_name":null,"funder_award_id":"EP/K000314/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2163320540.pdf","grobid_xml":"https://content.openalex.org/works/W2163320540.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W190588213","https://openalex.org/W1500997466","https://openalex.org/W1608008825","https://openalex.org/W1976905656","https://openalex.org/W1989502406","https://openalex.org/W1992989752","https://openalex.org/W2002606522","https://openalex.org/W2004890074","https://openalex.org/W2005322095","https://openalex.org/W2011051638","https://openalex.org/W2013955188","https://openalex.org/W2019587472","https://openalex.org/W2020788995","https://openalex.org/W2028310195","https://openalex.org/W2034893387","https://openalex.org/W2057545090","https://openalex.org/W2059496137","https://openalex.org/W2069140165","https://openalex.org/W2073416226","https://openalex.org/W2083656308","https://openalex.org/W2102000110","https://openalex.org/W2102596245","https://openalex.org/W2105303354","https://openalex.org/W2105701239","https://openalex.org/W2115362620","https://openalex.org/W2121389894","https://openalex.org/W2124535811","https://openalex.org/W2127428301","https://openalex.org/W2129404737","https://openalex.org/W2131830558","https://openalex.org/W2151242910","https://openalex.org/W2155799618","https://openalex.org/W2160014001","https://openalex.org/W2161256125","https://openalex.org/W2162767881","https://openalex.org/W2167667767","https://openalex.org/W2168676389","https://openalex.org/W2180682061","https://openalex.org/W3029595082","https://openalex.org/W4250490592","https://openalex.org/W4390632875"],"related_works":["https://openalex.org/W2096059205","https://openalex.org/W2321086849","https://openalex.org/W2366688168","https://openalex.org/W2018226387","https://openalex.org/W2333223448","https://openalex.org/W42909716","https://openalex.org/W2089184644","https://openalex.org/W2658949336","https://openalex.org/W1973271280","https://openalex.org/W2079367325"],"abstract_inverted_index":{"The":[0,34,151,169],"spatial":[1,186],"accuracy":[2,49,121,127,188],"of":[3,43,73,82,102,128,157,189],"point":[4,131],"clouds":[5],"generated":[6,130],"from":[7,166],"a":[8,40,90,100,109,114],"mobile":[9],"stereo":[10,28],"camera":[11,21,24,36,51,139,158],"set":[12,101],"is":[13,134,160],"very":[14],"sensitive":[15],"to":[16,46,67,93,142],"the":[17,71,80,83,125,129,164,185],"intrinsic":[18],"and":[19,76,122,178],"extrinsic":[20],"parameters":[22,52,105],"(i.e.,":[23],"calibration)":[25],"used":[26,56,162],"in":[27,50,70,79,163,184],"image-based":[29],"three-dimensional":[30],"(3D)":[31],"reconstruction":[32,85],"methods.":[33],"existing":[35],"calibration":[37,104,111,120,140],"algorithms":[38,141],"induce":[39],"significant":[41],"amount":[42],"error":[44],"owing":[45],"poor":[47],"estimation":[48],"when":[53],"they":[54],"are":[55],"for":[57,146],"large-scale":[58],"scenes":[59,177],"such":[60],"as":[61],"mapping":[62],"civil":[63],"infrastructure.":[64],"This":[65,87,133],"leads":[66],"higher":[68],"uncertainties":[69],"location":[72],"3D":[74,190],"points,":[75],"may":[77],"result":[78],"failure":[81],"whole":[84],"process.":[86,168],"paper":[88],"proposes":[89],"novel":[91],"procedure":[92],"address":[94],"this":[95],"problem.":[96],"It":[97],"hypothesizes":[98],"that":[99],"multiple":[103,155],"created":[106],"by":[107,136],"videotaping":[108],"moving":[110],"pattern":[112],"along":[113],"specific":[115],"path":[116],"can":[117],"increase":[118],"overall":[119],"ultimately":[123],"enhance":[124],"Euclidean":[126],"cloud.":[132],"achieved":[135],"using":[137],"conventional":[138],"perform":[143],"separate":[144],"estimations":[145],"certain":[147],"predefined":[148],"distance":[149,187],"values.":[150],"result,":[152],"which":[153],"includes":[154],"sets":[156],"parameters,":[159],"then":[161],"structure":[165],"motion":[167],"proposed":[170],"method":[171],"has":[172],"been":[173],"tested":[174],"on":[175],"infrastructure":[176],"experimental":[179],"analyses":[180],"indicate":[181],"25%":[182],"improvement":[183],"points.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
