{"id":"https://openalex.org/W2790918223","doi":"https://doi.org/10.1109/robio.2017.8324484","title":"Improved FDCM in laser scanning inspection system for workpiece deformation","display_name":"Improved FDCM in laser scanning inspection system for workpiece deformation","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2790918223","doi":"https://doi.org/10.1109/robio.2017.8324484","mag":"2790918223"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2017.8324484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2017.8324484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113701917","display_name":"Yibin Huang","orcid":"https://orcid.org/0000-0001-8517-1068"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibin Huang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences Institute of Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071638388","display_name":"Yue Guo","orcid":"https://orcid.org/0000-0003-4290-7228"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Guo","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences Institute of Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102113936","display_name":"Kui Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Yuan","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences Institute of Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"611","last_page":"616"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection 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/T12549","display_name":"Image and Object Detection 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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/chamfer","display_name":"Chamfer (geometry)","score":0.8516308665275574},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7178997993469238},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6628060340881348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6579014658927917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.616409420967102},{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.6149507761001587},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5917556881904602},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.5096766948699951},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.474433571100235},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45455750823020935},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43888336420059204},{"id":"https://openalex.org/keywords/iterative-closest-point","display_name":"Iterative closest point","score":0.4260571300983429},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4152989685535431},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.29647719860076904},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14353129267692566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12246149778366089},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11548551917076111},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07680955529212952}],"concepts":[{"id":"https://openalex.org/C2776313386","wikidata":"https://www.wikidata.org/wiki/Q18018756","display_name":"Chamfer (geometry)","level":2,"score":0.8516308665275574},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7178997993469238},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6628060340881348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6579014658927917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.616409420967102},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.6149507761001587},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5917556881904602},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.5096766948699951},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.474433571100235},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45455750823020935},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43888336420059204},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.4260571300983429},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4152989685535431},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.29647719860076904},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14353129267692566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12246149778366089},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11548551917076111},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07680955529212952},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2017.8324484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2017.8324484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":11,"referenced_works":["https://openalex.org/W1650975994","https://openalex.org/W2011852571","https://openalex.org/W2026779313","https://openalex.org/W2034950486","https://openalex.org/W2049981393","https://openalex.org/W2083624955","https://openalex.org/W2160072137","https://openalex.org/W2160821342","https://openalex.org/W2517726615","https://openalex.org/W2586932652","https://openalex.org/W2592733455"],"related_works":["https://openalex.org/W2813834476","https://openalex.org/W2088131065","https://openalex.org/W2005998065","https://openalex.org/W3016861202","https://openalex.org/W2001220299","https://openalex.org/W4323518558","https://openalex.org/W2286704396","https://openalex.org/W3196715007","https://openalex.org/W2366440988","https://openalex.org/W2358582870"],"abstract_inverted_index":{"Three-dimensional":[0],"(3D)":[1],"inspection":[2],"based":[3],"on":[4],"machine":[5],"vision":[6],"is":[7,22,49,60],"high-precision":[8],"and":[9,33,56,58,92,98],"efficient.":[10],"In":[11],"this":[12,96],"paper,":[13],"a":[14,50],"laser":[15],"scanning":[16,103,110],"system":[17,111],"using":[18],"the":[19,30,34,64,69,75,88,102,109,113,118,121],"triangulation":[20],"measurement":[21],"designed":[23],"to":[24,39,62],"obtain":[25],"dense":[26],"point":[27,35],"clouds":[28,36],"of":[29,71,120],"workpiece":[31,122],"surface,":[32],"are":[37],"projected":[38],"two-dimensional":[40],"(2D)":[41],"range":[42],"images.":[43],"Fast":[44],"Directional":[45],"Chamfer":[46],"Matching":[47],"(FDCM)":[48],"reliable":[51],"algorithm":[52,115],"for":[53],"object":[54],"detection":[55],"localization,":[57],"it":[59,79],"improved":[61,74,87,114],"accelerate":[63,101],"time-consuming":[65],"3D":[66],"registration.":[67],"Although":[68],"author":[70],"FDCM":[72],"greatly":[73,100],"directional":[76],"chamfer":[77],"matching,":[78],"remains":[80],"very":[81],"slow":[82],"in":[83,95,123],"practice.":[84],"We":[85],"mainly":[86],"line":[89],"fitting":[90],"process":[91],"distance":[93],"transform":[94],"algorithm,":[97],"they":[99],"process.":[104],"Experimental":[105],"results":[106],"show":[107],"that":[108],"with":[112],"can":[116],"highlight":[117],"deformation":[119],"real":[124],"time.":[125]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
