{"id":"https://openalex.org/W2054144499","doi":"https://doi.org/10.1109/iros.2005.1545168","title":"Calibrating an active omnidirectional vision system","display_name":"Calibrating an active omnidirectional vision system","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2054144499","doi":"https://doi.org/10.1109/iros.2005.1545168","mag":"2054144499"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2005.1545168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2005.1545168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5005736318","display_name":"Ninoslava Jankovi\u0107","orcid":"https://orcid.org/0009-0007-6309-4189"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"N.D. Jankovic","raw_affiliation_strings":["Department of Mechanical and Materials Engineering, University of Western Ontario, London, ONT, Canada","Dept. of Mech. & Mater. Eng., Western Ontario Univ., London, Ont., Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Materials Engineering, University of Western Ontario, London, ONT, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Dept. of Mech. & Mater. Eng., Western Ontario Univ., London, Ont., Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039782206","display_name":"Michael D. Naish","orcid":"https://orcid.org/0000-0001-7603-7182"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M.D. Naish","raw_affiliation_strings":["Department of Mechanical and Materials Engineering, University of Western Ontario, London, ONT, Canada","Dept. of Mech. & Mater. Eng., Western Ontario Univ., London, Ont., Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Materials Engineering, University of Western Ontario, London, ONT, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Dept. of Mech. & Mater. Eng., Western Ontario Univ., London, Ont., Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8973,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76355767,"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":"3093","last_page":"3098"},"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":0.9994999766349792,"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":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.7858027219772339},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7494867444038391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7070002555847168},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6880989074707031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6519012451171875},{"id":"https://openalex.org/keywords/pinhole","display_name":"Pinhole (optics)","score":0.6297532320022583},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6000100374221802},{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.5807807445526123},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5334513187408447},{"id":"https://openalex.org/keywords/omnidirectional-camera","display_name":"Omnidirectional camera","score":0.4946553409099579},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.47363677620887756},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4178905487060547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18561381101608276},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13700807094573975},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.10949179530143738}],"concepts":[{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.7858027219772339},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7494867444038391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7070002555847168},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6880989074707031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6519012451171875},{"id":"https://openalex.org/C2776700484","wikidata":"https://www.wikidata.org/wiki/Q15832623","display_name":"Pinhole (optics)","level":2,"score":0.6297532320022583},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6000100374221802},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.5807807445526123},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5334513187408447},{"id":"https://openalex.org/C2777953668","wikidata":"https://www.wikidata.org/wiki/Q684116","display_name":"Omnidirectional camera","level":4,"score":0.4946553409099579},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.47363677620887756},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4178905487060547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18561381101608276},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13700807094573975},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.10949179530143738},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2005.1545168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2005.1545168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1554208073","https://openalex.org/W1981673675","https://openalex.org/W2032080381","https://openalex.org/W2033819227","https://openalex.org/W2043146861","https://openalex.org/W2066680906","https://openalex.org/W2129982915","https://openalex.org/W2157641950","https://openalex.org/W2167547484","https://openalex.org/W2167667767","https://openalex.org/W2598306943","https://openalex.org/W6661259537"],"related_works":["https://openalex.org/W2898919627","https://openalex.org/W4379536980","https://openalex.org/W2666300258","https://openalex.org/W1989062809","https://openalex.org/W2118689766","https://openalex.org/W2625795345","https://openalex.org/W2215517927","https://openalex.org/W2137384304","https://openalex.org/W114721022","https://openalex.org/W1966688224"],"abstract_inverted_index":{"This":[0,100],"paper":[1],"describes":[2],"a":[3,47],"straightforward":[4],"process":[5,102],"for":[6,35,55],"calibrating":[7],"an":[8,65],"active":[9],"vision":[10],"system":[11,98,124],"containing":[12],"both":[13],"pinhole":[14],"perspective":[15,20],"and":[16],"omnidirectional":[17,36,56,66],"cameras.":[18,37,57],"The":[19],"cameras":[21],"can":[22],"be":[23],"easily":[24],"calibrated":[25],"using":[26,46,113],"standard":[27],"methods.":[28],"Unfortunately,":[29],"these":[30],"methods":[31],"are":[32,53,91,119],"not":[33],"suitable":[34],"Methods":[38],"that":[39,72],"rely":[40],"on":[41],"iterative":[42],"least":[43],"squares":[44],"optimization,":[45],"set":[48],"of":[49,62,77,89,110],"known":[50,80,111],"image-world":[51],"correspondences,":[52],"adopted":[54],"To":[58],"ensure":[59],"unbiased":[60],"estimation":[61],"camera":[63],"parameters,":[64],"calibration":[67,81,90,101],"rig":[68],"is":[69,103],"employed":[70],"so":[71],"nearly":[73],"the":[74,96,108,116,122],"entire":[75],"field":[76],"view":[78],"contains":[79],"points.":[82],"Measurement":[83],"uncertainties":[84],"collected":[85],"from":[86],"each":[87],"stage":[88],"then":[92],"combined":[93],"to":[94],"estimate":[95],"overall":[97],"uncertainty.":[99],"evaluated":[104],"experimentally":[105],"by":[106],"estimating":[107],"location":[109],"points":[112],"triangulation,":[114],"where":[115],"results":[117],"achieved":[118],"comparable":[120],"with":[121],"estimated":[123],"uncertainties.":[125]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}