{"id":"https://openalex.org/W2774119019","doi":"https://doi.org/10.1109/iros.2017.8205949","title":"Simultaneous hand-eye calibration and reconstruction","display_name":"Simultaneous hand-eye calibration and reconstruction","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2774119019","doi":"https://doi.org/10.1109/iros.2017.8205949","mag":"2774119019"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2017.8205949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8205949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5059976164","display_name":"Xiangyang Zhi","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyang Zhi","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051350739","display_name":"S\u00f6ren Schwertfeger","orcid":"https://orcid.org/0000-0003-2879-1636"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Soren Schwertfeger","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059976164"],"corresponding_institution_ids":["https://openalex.org/I30809798"],"apc_list":null,"apc_paid":null,"fwci":1.0923,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.86568493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1470","last_page":"1477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9969000220298767,"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":0.9969000220298767,"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":0.9965000152587891,"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":0.9961000084877014,"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/computer-vision","display_name":"Computer vision","score":0.8222154974937439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7901997566223145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7582187652587891},{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.7042256593704224},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6947704553604126},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5561124086380005},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.5531816482543945},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5275487303733826},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5034911036491394},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5001277923583984},{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.49072444438934326},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.4585852324962616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18464702367782593},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16793224215507507}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8222154974937439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7901997566223145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7582187652587891},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.7042256593704224},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6947704553604126},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5561124086380005},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.5531816482543945},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5275487303733826},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5034911036491394},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5001277923583984},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.49072444438934326},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.4585852324962616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18464702367782593},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16793224215507507},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2017.8205949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8205949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":36,"referenced_works":["https://openalex.org/W177883436","https://openalex.org/W297039922","https://openalex.org/W1845558254","https://openalex.org/W1984190176","https://openalex.org/W2021599527","https://openalex.org/W2025031482","https://openalex.org/W2026630979","https://openalex.org/W2057479940","https://openalex.org/W2069133372","https://openalex.org/W2069285223","https://openalex.org/W2072884984","https://openalex.org/W2084613528","https://openalex.org/W2085261163","https://openalex.org/W2085264132","https://openalex.org/W2093220968","https://openalex.org/W2094801294","https://openalex.org/W2101707625","https://openalex.org/W2107105904","https://openalex.org/W2121349631","https://openalex.org/W2123446940","https://openalex.org/W2124313187","https://openalex.org/W2127220039","https://openalex.org/W2147102157","https://openalex.org/W2150382645","https://openalex.org/W2151103935","https://openalex.org/W2158288882","https://openalex.org/W2160732528","https://openalex.org/W2167667767","https://openalex.org/W2167916881","https://openalex.org/W2243037613","https://openalex.org/W2317587719","https://openalex.org/W2326047893","https://openalex.org/W2410061664","https://openalex.org/W2415581019","https://openalex.org/W6683604425","https://openalex.org/W6714819274"],"related_works":["https://openalex.org/W2743160612","https://openalex.org/W4251327694","https://openalex.org/W2094605376","https://openalex.org/W171039533","https://openalex.org/W903062360","https://openalex.org/W2020382100","https://openalex.org/W2947013717","https://openalex.org/W2156390493","https://openalex.org/W425388330","https://openalex.org/W2890653412"],"abstract_inverted_index":{"Hand-eye":[0],"calibration":[1,5,43,49,63,87],"is":[2,14,138,149],"a":[3,11,22,38,48],"well-known":[4],"problem.":[6],"The":[7],"problem":[8],"assumes":[9],"that":[10,132],"camera":[12,106],"(eye)":[13],"rigidly":[15],"mounted":[16],"to":[17,27,80,123,140],"the":[18,29,45,82,85,104,109,113,125,129,133,144],"gripper":[19],"(hand)":[20],"of":[21,47,135,146],"robot":[23],"arm":[24],"and":[25,56,77,84,94,112,118,128],"aims":[26],"find":[28],"transformation":[30],"between":[31],"them.":[32],"In":[33,68],"this":[34,99],"paper,":[35],"we":[36,52,72,101],"propose":[37],"novel":[39],"pipeline":[40],"for":[41],"hand-eye":[42,62,86,96,115],"without":[44],"use":[46],"target.":[50],"First":[51],"employ":[53,75],"feature":[54],"extraction":[55],"matching,":[57],"followed":[58],"by":[59],"an":[60,69],"initial":[61],"step":[64],"using":[65,108],"2-view":[66],"matches.":[67],"iterative":[70],"process,":[71],"then":[73],"alternately":[74],"triangulation":[76],"bundle":[78],"adjustment":[79],"optimize":[81],"reconstruction":[83],"result.":[88],"Unlike":[89],"in":[90],"structure":[91],"from":[92],"motion":[93],"traditional":[95],"calibration,":[97],"during":[98],"process":[100],"always":[102],"determine":[103],"global":[105],"poses":[107,111],"hand":[110],"estimated":[114],"transformation.":[116],"Synthetic-data":[117],"real-data":[119],"experiments":[120],"are":[121],"performed":[122],"evaluate":[124],"proposed":[126],"approach,":[127],"results":[130],"indicate":[131],"accuracy":[134],"our":[136,147],"approach":[137],"superior":[139],"state-of-the-art":[141],"approaches.":[142],"Moreover,":[143],"speed":[145],"algorithm":[148],"faster":[150],"than":[151],"existing":[152],"methods.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}