{"id":"https://openalex.org/W2585199013","doi":"https://doi.org/10.1109/icarcv.2016.7838648","title":"Conceptual space based gross outlier removal for geometric model fitting","display_name":"Conceptual space based gross outlier removal for geometric model fitting","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2585199013","doi":"https://doi.org/10.1109/icarcv.2016.7838648","mag":"2585199013"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2016.7838648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2016.7838648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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/A5080013540","display_name":"Xing Wang","orcid":"https://orcid.org/0000-0001-8673-925X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xing Wang","raw_affiliation_strings":["Fujian Key laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680278","display_name":"Jin Zheng","orcid":"https://orcid.org/0000-0002-1325-4312"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Zheng","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050524397","display_name":"Guobao Xiao","orcid":"https://orcid.org/0000-0003-2928-8100"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobao Xiao","raw_affiliation_strings":["Fujian Key laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688208","display_name":"Bo Li","orcid":"https://orcid.org/0000-0002-6297-712X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395059","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0002-3674-7160"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Fujian Key laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044594971","display_name":"Hanzi Wang","orcid":"https://orcid.org/0000-0002-6913-9786"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzi Wang","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5080013540"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.8569,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85158638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12549","display_name":"Image and Object Detection 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/outlier","display_name":"Outlier","score":0.8862208724021912},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6787953972816467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5251421928405762},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.431596577167511},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.42755356431007385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4240555763244629},{"id":"https://openalex.org/keywords/conceptual-model","display_name":"Conceptual model","score":0.4125121235847473},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3726974129676819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3654051423072815},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3291025459766388},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1357133686542511}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8862208724021912},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6787953972816467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5251421928405762},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.431596577167511},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.42755356431007385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4240555763244629},{"id":"https://openalex.org/C13606891","wikidata":"https://www.wikidata.org/wiki/Q2623243","display_name":"Conceptual model","level":2,"score":0.4125121235847473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3726974129676819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3654051423072815},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3291025459766388},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1357133686542511}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2016.7838648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2016.7838648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1469080944","https://openalex.org/W1503931393","https://openalex.org/W1519594923","https://openalex.org/W1967037283","https://openalex.org/W2085261163","https://openalex.org/W2114674762","https://openalex.org/W2117551572","https://openalex.org/W2135245997","https://openalex.org/W2153383835","https://openalex.org/W2154201540","https://openalex.org/W2171728525","https://openalex.org/W2202222344","https://openalex.org/W2321984146","https://openalex.org/W6631325901","https://openalex.org/W6682706546","https://openalex.org/W6683304699"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2499612753","https://openalex.org/W1995723671","https://openalex.org/W2164647769","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729"],"abstract_inverted_index":{"In":[0,31,52,97],"this":[1,98],"paper,":[2],"we":[3],"propose":[4],"an":[5],"efficient":[6],"and":[7,60,77,133,145,152],"robust":[8],"gross":[9,25,61,90,104,136],"outlier":[10,105],"removal":[11,106],"method,":[12,22,34],"called":[13],"the":[14,32,46,53,56,83,86,95,100,118,150,155],"Conceptual":[15],"Space":[16],"based":[17],"Gross":[18],"Outlier":[19],"Removal":[20],"(CSGOR)":[21],"to":[23,40],"remove":[24,135],"outliers":[26,62,91,132,137],"for":[27],"geometric":[28],"model":[29,50,70],"fitting.":[30],"proposed":[33,119,156],"each":[35,69],"data":[36,126,147],"point":[37],"is":[38,107,121],"mapped":[39],"a":[41,75,110,128],"conceptual":[42,54,87],"space":[43],"by":[44],"computing":[45],"preference":[47],"of":[48,58,68,85,102,117,131,154],"\"good\"":[49],"hypotheses.":[51],"space,":[55,88],"distributions":[57],"inliers":[59,67],"are":[63,72,79,92],"significantly":[64],"different.":[65],"Specifically,":[66],"instance":[71],"distributed":[73,93],"in":[74,138],"subspace":[76],"they":[78],"far":[80],"away":[81],"from":[82],"origin":[84],"while":[89],"near":[94],"origin.":[96],"manner,":[99],"problem":[101],"densely":[103],"formulated":[108],"as":[109],"binary":[111],"classification":[112],"problem.":[113],"The":[114],"main":[115],"advantage":[116],"method":[120],"that":[122],"it":[123],"can":[124],"handle":[125],"with":[127],"large":[129],"proportion":[130],"effectively":[134],"data.":[139],"Experimental":[140],"results":[141],"on":[142],"both":[143],"synthetic":[144],"real":[146],"have":[148],"demonstrated":[149],"efficiency":[151],"effectiveness":[153],"method.":[157]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
