{"id":"https://openalex.org/W2145249259","doi":"https://doi.org/10.1109/iros.2008.4650877","title":"Object-orientated registration method for surface inspection of automotive windshields","display_name":"Object-orientated registration method for surface inspection of automotive windshields","publication_year":2008,"publication_date":"2008-09-01","ids":{"openalex":"https://openalex.org/W2145249259","doi":"https://doi.org/10.1109/iros.2008.4650877","mag":"2145249259"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2008.4650877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2008.4650877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5102010200","display_name":"Chi Zhang","orcid":"https://orcid.org/0000-0001-5527-3362"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Zhang","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023212284","display_name":"Ning Xi","orcid":"https://orcid.org/0000-0001-8276-5696"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ning Xi","raw_affiliation_strings":["Michigan State University, East Lansing, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, United States","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090540721","display_name":"Quan Shi","orcid":"https://orcid.org/0000-0002-4614-1023"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quan Shi","raw_affiliation_strings":["Michigan State University, East Lansing, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, United States","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.5212,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.98290598,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3553","last_page":"3558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9998000264167786,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9983999729156494,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7772725820541382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6280659437179565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6248735785484314},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6120110154151917},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5928590297698975},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.530604898929596},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.506990909576416},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.4950851500034332},{"id":"https://openalex.org/keywords/photogrammetry","display_name":"Photogrammetry","score":0.48896920680999756},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.44696518778800964},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42132532596588135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38695934414863586},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.31017422676086426},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.2797912359237671},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2134397327899933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17794004082679749},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1213940978050232},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11554262042045593}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7772725820541382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6280659437179565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6248735785484314},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6120110154151917},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5928590297698975},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.530604898929596},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.506990909576416},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4950851500034332},{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.48896920680999756},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.44696518778800964},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42132532596588135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38695934414863586},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.31017422676086426},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.2797912359237671},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2134397327899933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17794004082679749},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1213940978050232},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11554262042045593},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros.2008.4650877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2008.4650877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/213056","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/213056","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1563354748","https://openalex.org/W1984152670","https://openalex.org/W1997651995","https://openalex.org/W2049981393","https://openalex.org/W2104845659","https://openalex.org/W2106033981","https://openalex.org/W2118104180","https://openalex.org/W2136614571","https://openalex.org/W2144594079","https://openalex.org/W2158502918"],"related_works":["https://openalex.org/W2037143534","https://openalex.org/W2888631859","https://openalex.org/W2357811830","https://openalex.org/W3154360165","https://openalex.org/W2345979715","https://openalex.org/W2067230404","https://openalex.org/W2369594106","https://openalex.org/W2171028602","https://openalex.org/W3037197017","https://openalex.org/W2110013921"],"abstract_inverted_index":{"In":[0],"this":[1,66,248],"paper":[2,249],"we":[3],"introduce":[4],"a":[5,23,29,95],"new":[6,227],"point":[7,78,187],"cloud":[8,79],"registration":[9,20,80,127,142,169,214,229],"strategy":[10],"for":[11,81,102],"3D":[12,132],"surface":[13,133],"inspection,":[14],"named":[15],"object-oriented":[16,141],"method.":[17],"Traditionally,":[18],"the":[19,41,47,51,91,111,122,149,159,163,168,181,185,191,194,211,219,235,239,252,255],"methods":[21],"use":[22],"fitting":[24,42,60,165],"based":[25,43,146,189],"algorithm,":[26],"which":[27],"is":[28,128,144,171,177,216],"recursive":[30,164],"process":[31],"and":[32,50,58,109,162,201],"too":[33],"time":[34,101],"consuming":[35],"to":[36,76,179,209,234,250],"do":[37],"quality":[38,82,236],"inspection.":[39,83],"Moreover,":[40],"algorithms":[44,61],"require":[45],"that":[46,193],"measured":[48,112,186],"data":[49,155,224],"CAD":[52,123,195],"model":[53,196],"have":[54],"same":[55,120],"shapes.":[56],"Photogrammetry":[57],"ICP-based":[59],"are":[62,204,245],"commonly":[63],"used":[64,205],"in":[65,135,222,238,247],"area.":[67],"However,":[68],"both":[69,223],"of":[70,100,158,254],"them":[71],"cannot":[72],"be":[73,117],"applied":[74,233],"directly":[75],"online":[77,126,228],"Since":[84],"it":[85],"requires:":[86],"1.)":[87],"no":[88],"markers":[89,161],"on":[90,105,147,190],"object":[92],"surface;":[93],"2.)":[94],"very":[96],"limited":[97],"inspection":[98,134,237],"period":[99],"each":[103],"part":[104],"an":[106],"assembly":[107],"line;":[108],"3.)":[110],"work":[113],"piece":[114],"can":[115],"not":[116],"assumed":[118],"as":[119,121,206],"model.":[124],"The":[125,140,198,213,226],"currently":[129],"demanded":[130],"by":[131,218],"automotive":[136],"glasses":[137],"manufacturing":[138,241],"industry.":[139,242],"method":[143,230],"developed":[145,178,256],"matching":[148],"invariant":[150,182],"geometric":[151],"features":[152,183,208],"between":[153],"two":[154],"sets":[156],"instead":[157],"artificial":[160],"algorithms.":[166],"Therefore":[167],"speed":[170],"much":[172],"higher.":[173],"A":[174],"datum":[175],"filter":[176],"extract":[180],"from":[184],"cloud,":[188],"information":[192,200],"carries.":[197],"curvature":[199],"moment":[202],"values":[203],"characteristic":[207],"design":[210],"filter.":[212],"matrix":[215],"calculated":[217],"invariance":[220],"parts":[221],"sets.":[225],"has":[231],"been":[232],"windshield":[240],"Experimental":[243],"results":[244],"presented":[246],"demonstrate":[251],"effectiveness":[253],"strategy.":[257]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}
