{"id":"https://openalex.org/W1986573156","doi":"https://doi.org/10.1109/icip.2014.7025699","title":"Radial distortion correction from a single image of a planar calibration pattern using convex optimization","display_name":"Radial distortion correction from a single image of a planar calibration pattern using convex optimization","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1986573156","doi":"https://doi.org/10.1109/icip.2014.7025699","mag":"1986573156"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5015981200","display_name":"Xianghua Ying","orcid":"https://orcid.org/0000-0002-9785-0727"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianghua Ying","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, P.R. China","Key Laboratory of Machine Perception (Ministry of Education), School of Electronic Engineering and Computer Science, Center for Information Science, Peking University, Beijing 100871, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), School of Electronic Engineering and Computer Science, Center for Information Science, Peking University, Beijing 100871, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100879945","display_name":"Xiang Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Mei","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, P.R. China","Key Laboratory of Machine Perception (Ministry of Education), School of Electronic Engineering and Computer Science, Center for Information Science, Peking University, Beijing 100871, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), School of Electronic Engineering and Computer Science, Center for Information Science, Peking University, Beijing 100871, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057464765","display_name":"Sen Yang","orcid":"https://orcid.org/0000-0002-0639-4122"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Yang","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, P.R. China","Key Laboratory of Machine Perception (Ministry of Education), School of Electronic Engineering and Computer Science, Center for Information Science, Peking University, Beijing 100871, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), School of Electronic Engineering and Computer Science, Center for Information Science, Peking University, Beijing 100871, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059529620","display_name":"Ganwen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ganwen Wang","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, P.R. China","Key Laboratory of Machine Perception (Ministry of Education), School of Electronic Engineering and Computer Science, Center for Information Science, Peking University, Beijing 100871, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), School of Electronic Engineering and Computer Science, Center for Information Science, Peking University, Beijing 100871, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017031914","display_name":"Hongbin Zha","orcid":"https://orcid.org/0000-0001-5860-4673"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Zha","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, P.R. China","Key Laboratory of Machine Perception (Ministry of Education), School of Electronic Engineering and Computer Science, Center for Information Science, Peking University, Beijing 100871, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), School of Electronic Engineering and Computer Science, Center for Information Science, Peking University, Beijing 100871, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015981200"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.9755,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.78912731,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3440","last_page":"3443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":1.0,"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":1.0,"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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/planar","display_name":"Planar","score":0.7388173937797546},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7331970930099487},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6019032001495361},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5879294872283936},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4847109317779541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47979074716567993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4737580418586731},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44266849756240845},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4228537082672119},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34694504737854004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3346185088157654},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.10284581780433655},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09783369302749634},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0794135332107544},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07065057754516602}],"concepts":[{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.7388173937797546},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7331970930099487},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6019032001495361},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5879294872283936},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4847109317779541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47979074716567993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4737580418586731},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44266849756240845},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4228537082672119},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34694504737854004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3346185088157654},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.10284581780433655},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09783369302749634},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0794135332107544},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07065057754516602},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W36923225","https://openalex.org/W1481030273","https://openalex.org/W1967073510","https://openalex.org/W2032704023","https://openalex.org/W2079406957","https://openalex.org/W2086018246","https://openalex.org/W2091520273","https://openalex.org/W2095614026","https://openalex.org/W2096971959","https://openalex.org/W2103569660","https://openalex.org/W2109226337","https://openalex.org/W2144325227","https://openalex.org/W2178935672","https://openalex.org/W6628607474"],"related_works":["https://openalex.org/W2010809152","https://openalex.org/W4221122830","https://openalex.org/W2541128885","https://openalex.org/W1865242774","https://openalex.org/W2061160048","https://openalex.org/W4291169712","https://openalex.org/W2033534994","https://openalex.org/W2414946225","https://openalex.org/W2005185696","https://openalex.org/W2574052219"],"abstract_inverted_index":{"In":[0,76],"Hartley-Kang's":[1,99],"paper":[2],"[7],":[3],"they":[4],"directly":[5],"treated":[6],"a":[7,21,33,60,81],"planar":[8,27],"calibration":[9,28],"pattern":[10],"as":[11,95],"an":[12,16],"image":[13,17,24],"to":[14,37,66,85],"construct":[15],"pair":[18],"together":[19],"with":[20],"radial":[22,42,50,58,69,88,109],"distorted":[23,51],"of":[25,41,57,108],"the":[26,39,46,49,55,68,73,87,92],"pattern,":[29],"and":[30],"then":[31],"proposed":[32],"very":[34],"efficient":[35],"method":[36,63,84,103],"determine":[38],"center":[40,56],"distortion":[43,70,89,110],"by":[44,98],"estimating":[45],"epipole":[47],"in":[48],"image.":[52],"After":[53],"determined":[54],"distortion,":[59],"least":[61],"square":[62],"was":[64],"utilized":[65],"recover":[67,86],"function":[71,90],"using":[72,91],"monotonicity":[74],"constraints.":[75],"this":[77],"paper,":[78],"we":[79],"present":[80],"convex":[82],"optimization":[83],"same":[93],"constraints":[94],"those":[96],"required":[97],"method,":[100],"whereas":[101],"our":[102,115],"can":[104],"obtain":[105],"better":[106],"results":[107],"correction.":[111],"The":[112],"experiments":[113],"validate":[114],"approach.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}