{"id":"https://openalex.org/W2903466459","doi":"https://doi.org/10.1109/icpr.2018.8546204","title":"Automatic Feature Extraction for Wide-angle and Fish-eye Camera Calibration","display_name":"Automatic Feature Extraction for Wide-angle and Fish-eye Camera Calibration","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2903466459","doi":"https://doi.org/10.1109/icpr.2018.8546204","mag":"2903466459"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8546204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/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":true,"raw_author_name":"Peter Fasogbon","raw_affiliation_strings":["Nokia Technologies, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100373580","display_name":"Lixin Fan","orcid":"https://orcid.org/0000-0002-8162-7096"},"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":"Lixin Fan","raw_affiliation_strings":["Nokia Technologies, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114026606"],"corresponding_institution_ids":["https://openalex.org/I2738502077"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57022318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2947","last_page":"2952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9987000226974487,"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":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.7559745907783508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7070522308349609},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.7044421434402466},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7017713189125061},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6744920015335083},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5242531299591064},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47502025961875916},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4454770088195801},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.42130231857299805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32821881771087646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1139603853225708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559745907783508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7070522308349609},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7044421434402466},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7017713189125061},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6744920015335083},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5242531299591064},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47502025961875916},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4454770088195801},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.42130231857299805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32821881771087646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1139603853225708},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8546204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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":13,"referenced_works":["https://openalex.org/W1983959451","https://openalex.org/W1992989752","https://openalex.org/W2033819227","https://openalex.org/W2100893637","https://openalex.org/W2112731915","https://openalex.org/W2117003941","https://openalex.org/W2124592110","https://openalex.org/W2141461755","https://openalex.org/W2143425822","https://openalex.org/W2144042618","https://openalex.org/W2157641950","https://openalex.org/W2167667767","https://openalex.org/W3145547920"],"related_works":["https://openalex.org/W4386159726","https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2082269393"],"abstract_inverted_index":{"The":[0],"increase":[1],"need":[2],"to":[3,13,54,79,102],"have":[4],"360":[5],"degree":[6],"perception":[7],"of":[8,16,22,27,31,83],"world":[9],"environment":[10,49],"has":[11],"led":[12],"the":[14,20,67,87,93,107],"combination":[15],"various":[17],"cameras":[18],"in":[19,46,57],"varieties":[21],"narrow":[23],"and":[24,99,119],"wide-angle":[25],"field":[26],"view.":[28],"Current":[29],"state":[30],"art":[32],"methods":[33],"do":[34],"not":[35,100],"provide":[36],"an":[37,47],"automatic":[38,63,72,98],"means":[39],"for":[40,70],"fish-eye":[41],"calibration,":[42],"which":[43],"is":[44,66,96],"indispensable":[45],"industrial":[48],"where":[50],"many":[51],"lenses":[52],"are":[53],"be":[55],"calibrated":[56],"a":[58],"relative":[59],"short":[60],"time.":[61],"As":[62],"feature":[64,109],"extraction":[65,110],"key":[68],"issue":[69,78],"fully":[71],"calibration":[73,88,114],"framework,":[74],"we":[75],"address":[76],"this":[77],"remove":[80],"any":[81],"form":[82],"human":[84],"intervention":[85],"during":[86],"process.":[89],"Unlike":[90],"state-of-the-art":[91,112],"methods,":[92],"proposed":[94,108],"framework":[95],"completely":[97],"prone":[101],"detection":[103],"errors.":[104],"We":[105],"evaluate":[106],"using":[111],"generic":[113],"model":[115],"with":[116],"both":[117],"real":[118],"synthetic":[120],"images.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
