{"id":"https://openalex.org/W3197850350","doi":"https://doi.org/10.1109/rcar52367.2021.9517580","title":"Calibration and Measurement of Large Distortion Binocular Camera Based on Fully Connected Neural Network","display_name":"Calibration and Measurement of Large Distortion Binocular Camera Based on Fully Connected Neural Network","publication_year":2021,"publication_date":"2021-07-15","ids":{"openalex":"https://openalex.org/W3197850350","doi":"https://doi.org/10.1109/rcar52367.2021.9517580","mag":"3197850350"},"language":"en","primary_location":{"id":"doi:10.1109/rcar52367.2021.9517580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar52367.2021.9517580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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/A5016367652","display_name":"Tianwei Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tianwei Wu","raw_affiliation_strings":["Zhongke Shijie Technology Co., Ltd, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Zhongke Shijie Technology Co., Ltd, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405234","display_name":"Xilong Liu","orcid":"https://orcid.org/0000-0003-0332-4150"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilong Liu","raw_affiliation_strings":["Chinese Academy of Sciences Institute of Automation, Beijing, China","Zhongke Shijie Technology Co., Ltd, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Zhongke Shijie Technology Co., Ltd, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042210118","display_name":"Mengjuan Chen","orcid":"https://orcid.org/0000-0001-5445-3644"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjuan Chen","raw_affiliation_strings":["Chinese Academy of Sciences Institute of Automation, Beijing, China","Zhongke Shijie Technology Co., Ltd, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Zhongke Shijie Technology Co., Ltd, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007926867","display_name":"Qingyi Gu","orcid":"https://orcid.org/0000-0001-8332-5350"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyi Gu","raw_affiliation_strings":["Chinese Academy of Sciences Institute of Automation, Beijing, China","Zhongke Shijie Technology Co., Ltd, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Zhongke Shijie Technology Co., Ltd, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035512705","display_name":"Wenxiang Qin","orcid":"https://orcid.org/0009-0003-0092-1168"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenxiang Qin","raw_affiliation_strings":["Zhongke Shijie Technology Co., Ltd, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Zhongke Shijie Technology Co., Ltd, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036364134","display_name":"Tingyu Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tingyu Yan","raw_affiliation_strings":["Zhongke Shijie Technology Co., Ltd, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Zhongke Shijie Technology Co., Ltd, Nanjing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101617112","display_name":"Jiawei Lu","orcid":"https://orcid.org/0009-0004-9048-3743"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiawei Lu","raw_affiliation_strings":["Zhongke Shijie Technology Co., Ltd, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Zhongke Shijie Technology Co., Ltd, Nanjing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5016367652"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10828431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"833","last_page":"838"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983999729156494,"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":0.9977999925613403,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7991145849227905},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7718256711959839},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.7662625312805176},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7512528896331787},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.7414085865020752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7078304886817932},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5733133554458618},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.5662366151809692},{"id":"https://openalex.org/keywords/nonlinear-distortion","display_name":"Nonlinear distortion","score":0.5190771222114563},{"id":"https://openalex.org/keywords/binocular-vision","display_name":"Binocular vision","score":0.47247573733329773},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.41444331407546997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16569194197654724}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7991145849227905},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7718256711959839},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.7662625312805176},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7512528896331787},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7414085865020752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7078304886817932},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5733133554458618},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.5662366151809692},{"id":"https://openalex.org/C173413354","wikidata":"https://www.wikidata.org/wiki/Q7049470","display_name":"Nonlinear distortion","level":4,"score":0.5190771222114563},{"id":"https://openalex.org/C121958486","wikidata":"https://www.wikidata.org/wiki/Q609543","display_name":"Binocular vision","level":2,"score":0.47247573733329773},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.41444331407546997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16569194197654724},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar52367.2021.9517580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar52367.2021.9517580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G7050314182","display_name":null,"funder_award_id":"61973302,Z191100008019004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1566520882","https://openalex.org/W1969096808","https://openalex.org/W2095614026","https://openalex.org/W2115797648","https://openalex.org/W2137983211"],"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/W2089184644","https://openalex.org/W42909716","https://openalex.org/W2658949336","https://openalex.org/W1973271280","https://openalex.org/W2079367325"],"abstract_inverted_index":{"Camera":[0],"calibration":[1,22,31,60,116],"is":[2,14],"of":[3,64,71,105],"great":[4],"significance":[5],"in":[6],"computer":[7],"vision":[8,107],"technology.":[9],"Large":[10],"distortion":[11,35,122],"binocular":[12,36,55,93,106,123],"camera":[13,37,94,124],"notoriously":[15],"hard":[16],"to":[17,45,81],"calibrate":[18,120],"accurately":[19,100],"using":[20],"traditional":[21,59,115],"methods.":[23],"In":[24],"this":[25,118],"paper,":[26],"we":[27,76],"present":[28],"a":[29],"new":[30],"method":[32],"for":[33,91],"large":[34,121],"based":[38],"on":[39,50],"fully":[40,87],"connected":[41,88],"neural":[42,89,97],"network.":[43],"Similarly":[44],"planar":[46],"calibration,":[47],"it":[48],"relies":[49],"multiple":[51],"images":[52,65,80],"taken":[53],"by":[54],"camera.":[56],"Compared":[57],"with":[58,114,125],"methods,":[61,117],"the":[62,86,101],"number":[63],"do":[66],"not":[67],"increase":[68],"significantly.":[69],"Instead":[70],"building":[72],"complex":[73],"analytical":[74],"models,":[75],"only":[77],"take":[78],"some":[79],"train":[82],"quickly":[83],"and":[84,128],"efficiently":[85],"network":[90,98],"different":[92],"systems.":[95],"The":[96],"fit":[99],"nonlinear":[102],"mapping":[103],"relationship":[104],"imaging":[108],"model.":[109],"Experiments":[110],"show":[111],"that,":[112],"compared":[113],"approach":[119],"higher":[126],"accuracy":[127],"stability.":[129]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
