{"id":"https://openalex.org/W2791549136","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302077","title":"Binocular vision calibration method based on coplanar intersecting circles","display_name":"Binocular vision calibration method based on coplanar intersecting circles","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2791549136","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302077","mag":"2791549136"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5101878907","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-8187-0555"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liu Yang","raw_affiliation_strings":["College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103673059","display_name":"Liu Guang-da","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Guangda","raw_affiliation_strings":["College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010186208","display_name":"Le Gao","orcid":"https://orcid.org/0000-0002-5648-1590"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gao Le","raw_affiliation_strings":["College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076125005","display_name":"Chu Xinze","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chu Xinze","raw_affiliation_strings":["College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liu Changying","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Changying","raw_affiliation_strings":["College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101878907"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.22105963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/ellipse","display_name":"Ellipse","score":0.8647122383117676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.677491307258606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.66887366771698},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6472479104995728},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.6424379348754883},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5757718086242676},{"id":"https://openalex.org/keywords/pinhole-camera-model","display_name":"Pinhole camera model","score":0.5737794041633606},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5140824913978577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47653087973594666},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.45171666145324707},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.4509130120277405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41515517234802246},{"id":"https://openalex.org/keywords/binocular-vision","display_name":"Binocular vision","score":0.41493821144104004},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.19666224718093872},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07169219851493835}],"concepts":[{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.8647122383117676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.677491307258606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66887366771698},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6472479104995728},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.6424379348754883},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5757718086242676},{"id":"https://openalex.org/C199996500","wikidata":"https://www.wikidata.org/wiki/Q14369636","display_name":"Pinhole camera model","level":4,"score":0.5737794041633606},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5140824913978577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47653087973594666},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.45171666145324707},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.4509130120277405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41515517234802246},{"id":"https://openalex.org/C121958486","wikidata":"https://www.wikidata.org/wiki/Q609543","display_name":"Binocular vision","level":2,"score":0.41493821144104004},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.19666224718093872},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07169219851493835},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":6,"referenced_works":["https://openalex.org/W39131774","https://openalex.org/W1967736700","https://openalex.org/W2170948882","https://openalex.org/W2314158953","https://openalex.org/W2350047274","https://openalex.org/W2364060874"],"related_works":["https://openalex.org/W2118427684","https://openalex.org/W2378222798","https://openalex.org/W227461850","https://openalex.org/W4254512752","https://openalex.org/W2052984831","https://openalex.org/W2142558146","https://openalex.org/W42909716","https://openalex.org/W4386942323","https://openalex.org/W2785097492","https://openalex.org/W2058178022"],"abstract_inverted_index":{"Objective:":[0],"In":[1],"order":[2],"to":[3,13,103],"achieve":[4],"binocular":[5,10,141],"vision":[6],"measurement":[7],"technology,":[8],"the":[9,18,51,55,58,62,68,76,80,85,94,104,109,113,118,129],"camera":[11,23,81,142],"needs":[12],"be":[14],"calibrated.":[15],"Based":[16],"on":[17,27,50],"Pinhole":[19],"imaging":[20],"model,":[21],"a":[22],"calibration":[24,41,52,143],"algorithm":[25],"based":[26],"coplanar":[28],"intersecting":[29,39],"circles":[30],"is":[31,65,73,121,136],"proposed":[32],"in":[33,61],"this":[34,134],"paper.":[35],"Method:":[36],"Firstly,":[37],"two":[38,46,90,119],"circle":[40,59],"plates":[42],"are":[43,82,100],"designed,":[44],"and":[45,67,112,149],"cameras":[47,120],"simultaneously":[48],"shoot":[49],"plates.":[53],"Then":[54],"ellipse":[56,72],"of":[57,71,79,89,97,108,117,133],"pattern":[60],"shooting":[63],"image":[64,99],"fitted,":[66],"general":[69],"equation":[70],"obtained.":[74],"Then,":[75],"intrinsic":[77],"parameters":[78,96],"obtained":[83,101],"by":[84],"conjugate":[86],"imaginary":[87],"intersection":[88,106],"elliptic":[91,110],"equations.":[92],"Finally,":[93],"external":[95],"each":[98],"according":[102],"real":[105],"point":[107],"equation,":[111],"relative":[114],"position":[115],"relation":[116],"calculated.":[122],"Result:":[123],"The":[124,140],"experimental":[125],"results":[126],"show":[127],"that":[128],"mean":[130],"reprojection":[131],"error":[132],"method":[135,144],"0.69":[137],"pix.":[138],"Conclusion:":[139],"has":[145],"high":[146],"accuracy,":[147],"robustness":[148],"practicability.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}