{"id":"https://openalex.org/W2954305820","doi":"https://doi.org/10.1109/icip.2019.8803832","title":"Calibration of Fisheye Camera Using Entrance Pupil","display_name":"Calibration of Fisheye Camera Using Entrance Pupil","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2954305820","doi":"https://doi.org/10.1109/icip.2019.8803832","mag":"2954305820"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1907.01759","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114026606","display_name":"Peter Fasogbon","orcid":null},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Peter Fasogbon","raw_affiliation_strings":["Nokia Technologies, Tampere, Finland","Nokia Technologies, Tampere, 33100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Tampere, 33100","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015289739","display_name":"Emre Aksu","orcid":"https://orcid.org/0000-0001-7363-2824"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Emre Aksu","raw_affiliation_strings":["Nokia Technologies, Tampere, Finland","Nokia Technologies, Tampere, 33100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Tampere, 33100","institution_ids":["https://openalex.org/I2738502077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2738502077"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"469","last_page":"473"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.76317298412323},{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.7536706924438477},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.7088239192962646},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6859937906265259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6407462358474731},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.625645637512207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6193235516548157},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6162671446800232},{"id":"https://openalex.org/keywords/camera-lens","display_name":"Camera lens","score":0.5410730838775635},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.47884321212768555},{"id":"https://openalex.org/keywords/image-formation","display_name":"Image formation","score":0.46752122044563293},{"id":"https://openalex.org/keywords/entrance-pupil","display_name":"Entrance pupil","score":0.45896315574645996},{"id":"https://openalex.org/keywords/thin-lens","display_name":"Thin lens","score":0.43291938304901123},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4138430953025818},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3954232335090637},{"id":"https://openalex.org/keywords/pupil","display_name":"Pupil","score":0.3890116810798645},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3449859023094177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31904494762420654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2441491186618805},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1473332941532135}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.76317298412323},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.7536706924438477},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.7088239192962646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6859937906265259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6407462358474731},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.625645637512207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6193235516548157},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6162671446800232},{"id":"https://openalex.org/C2778022956","wikidata":"https://www.wikidata.org/wiki/Q192234","display_name":"Camera lens","level":3,"score":0.5410730838775635},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.47884321212768555},{"id":"https://openalex.org/C125045340","wikidata":"https://www.wikidata.org/wiki/Q6002224","display_name":"Image formation","level":3,"score":0.46752122044563293},{"id":"https://openalex.org/C99954952","wikidata":"https://www.wikidata.org/wiki/Q359518","display_name":"Entrance pupil","level":3,"score":0.45896315574645996},{"id":"https://openalex.org/C2776955271","wikidata":"https://www.wikidata.org/wiki/Q283724","display_name":"Thin lens","level":3,"score":0.43291938304901123},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4138430953025818},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3954232335090637},{"id":"https://openalex.org/C2777394604","wikidata":"https://www.wikidata.org/wiki/Q173318","display_name":"Pupil","level":2,"score":0.3890116810798645},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3449859023094177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31904494762420654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2441491186618805},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1473332941532135},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icip.2019.8803832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1907.01759","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.01759","pdf_url":"https://arxiv.org/pdf/1907.01759","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2954305820","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1907.01759","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1907.01759","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.01759","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1907.01759","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.01759","pdf_url":"https://arxiv.org/pdf/1907.01759","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954305820.pdf","grobid_xml":"https://content.openalex.org/works/W2954305820.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901244654","https://openalex.org/W1983959451","https://openalex.org/W1984737066","https://openalex.org/W2074292590","https://openalex.org/W2100893637","https://openalex.org/W2124313187","https://openalex.org/W2143425822","https://openalex.org/W2160204468","https://openalex.org/W2167667767","https://openalex.org/W2169887425","https://openalex.org/W2219815628","https://openalex.org/W2902081616","https://openalex.org/W2903466459","https://openalex.org/W3145547920"],"related_works":["https://openalex.org/W2970343488","https://openalex.org/W3107182211","https://openalex.org/W2079940438","https://openalex.org/W2366119248","https://openalex.org/W2367851854","https://openalex.org/W2367059089","https://openalex.org/W1533921917","https://openalex.org/W2163320540","https://openalex.org/W2055948123","https://openalex.org/W2541926158","https://openalex.org/W2023278799","https://openalex.org/W2056868101","https://openalex.org/W3128894332","https://openalex.org/W3119703288","https://openalex.org/W2005322095","https://openalex.org/W2072327384","https://openalex.org/W2366711827","https://openalex.org/W3088145782","https://openalex.org/W2314866855","https://openalex.org/W2905286037"],"abstract_inverted_index":{"Most":[0],"conventional":[1],"camera":[2,33,124],"calibration":[3,34,89,131],"algorithms":[4],"assume":[5],"that":[6,49,56],"the":[7,31,73,76,92,123],"imaging":[8,22],"device":[9,23],"has":[10],"a":[11,29,45,57,67,88],"Single":[12],"Viewpoint":[13,59],"(SVP).":[14],"This":[15],"is":[16,36,62,133],"not":[17,37],"necessarily":[18],"true":[19],"for":[20,91],"special":[21],"such":[24],"as":[25],"fisheye":[26],"lenses.":[27],"As":[28],"consequence,":[30],"intrinsic":[32],"result":[35],"always":[38,65],"reliable.":[39],"In":[40,84],"this":[41,53],"paper,":[42],"we":[43,86,110],"propose":[44],"new":[46],"formation":[47,94,146],"model":[48],"tends":[50],"to":[51,64,95,113,140],"relax":[52],"assumption":[54],"so":[55],"Non-Single":[58],"(NSVP)":[60],"system":[61],"corrected":[63],"maintain":[66],"SVP,":[68],"by":[69],"taking":[70],"into":[71],"account":[72],"variation":[74],"of":[75],"Entrance":[77],"Pupil":[78],"(EP)":[79],"using":[80,100],"thin":[81,143],"lens":[82,144],"modeling.":[83],"addition,":[85],"present":[87],"procedure":[90,104,132],"image":[93,145],"estimate":[96],"these":[97],"EP":[98],"parameters":[99,125],"non":[101],"linear":[102],"optimization":[103],"with":[105],"bundle":[106],"adjustment.":[107],"From":[108],"experiments,":[109],"are":[111,126],"able":[112],"obtain":[114],"slightly":[115],"better":[116,127],"re-projection":[117],"error":[118],"than":[119],"traditional":[120],"methods,":[121],"and":[122,135],"estimated.":[128],"The":[129],"proposed":[130],"simple":[134],"can":[136],"easily":[137],"be":[138],"integrated":[139],"any":[141],"other":[142],"model.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}