{"id":"https://openalex.org/W3157631201","doi":"https://doi.org/10.1109/tie.2021.3076724","title":"Motion Consistency Guided Robust Geometric Model Fitting With Severe Outliers","display_name":"Motion Consistency Guided Robust Geometric Model Fitting With Severe Outliers","publication_year":2021,"publication_date":"2021-05-05","ids":{"openalex":"https://openalex.org/W3157631201","doi":"https://doi.org/10.1109/tie.2021.3076724","mag":"3157631201"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2021.3076724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2021.3076724","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-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/A5063406444","display_name":"Hanlin Guo","orcid":"https://orcid.org/0000-0003-3037-9210"},"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":"Hanlin Guo","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015745132","display_name":"Yang Lu","orcid":"https://orcid.org/0000-0002-3497-9611"},"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":"Yang Lu","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101421320","display_name":"Haosheng Chen","orcid":"https://orcid.org/0000-0001-6834-2136"},"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":"Haosheng Chen","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053856154","display_name":"Hailing Luo","orcid":"https://orcid.org/0000-0003-0683-4711"},"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":"Hailing Luo","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"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/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobao Xiao","raw_affiliation_strings":["College of Computer and Control Engineering, Minjiang University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Minjiang University, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102802836","display_name":"Haifang Zhang","orcid":"https://orcid.org/0000-0002-3354-4683"},"institutions":[{"id":"https://openalex.org/I4210110525","display_name":"Hebei General Hospital","ror":"https://ror.org/01nv7k942","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210110525"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifang Zhang","raw_affiliation_strings":["Department of Ophthalmology, Hebei General Hospital, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"Department of Ophthalmology, Hebei General Hospital, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210110525"]}]},{"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/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":"Hanzi Wang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5063406444"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":1.0567,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78552288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"69","issue":"4","first_page":"4065","last_page":"4075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9976000189781189,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9973999857902527,"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/outlier","display_name":"Outlier","score":0.8529181480407715},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6577632427215576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5954146385192871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5836780071258545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.452474981546402},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.41276639699935913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33382511138916016},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33250892162323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3261890709400177}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8529181480407715},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6577632427215576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5954146385192871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5836780071258545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.452474981546402},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.41276639699935913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33382511138916016},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33250892162323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3261890709400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2021.3076724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2021.3076724","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G3965486372","display_name":null,"funder_award_id":"62072223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5037251186","display_name":null,"funder_award_id":"62002302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5449330877","display_name":null,"funder_award_id":"U1605252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6528361795","display_name":null,"funder_award_id":"61872307","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1561797649","https://openalex.org/W1976728150","https://openalex.org/W2005695642","https://openalex.org/W2085261163","https://openalex.org/W2099295295","https://openalex.org/W2106199912","https://openalex.org/W2111073598","https://openalex.org/W2113339916","https://openalex.org/W2114674762","https://openalex.org/W2135245997","https://openalex.org/W2165835468","https://openalex.org/W2171728525","https://openalex.org/W2338895756","https://openalex.org/W2406442301","https://openalex.org/W2528666896","https://openalex.org/W2545834714","https://openalex.org/W2735299109","https://openalex.org/W2740578684","https://openalex.org/W2767472986","https://openalex.org/W2786092739","https://openalex.org/W2800106563","https://openalex.org/W2901173481","https://openalex.org/W2904090314","https://openalex.org/W2917854458","https://openalex.org/W2943694032","https://openalex.org/W2963369852","https://openalex.org/W2970141505","https://openalex.org/W2996144174","https://openalex.org/W3012015768","https://openalex.org/W3015620633","https://openalex.org/W3047057232","https://openalex.org/W3080545096","https://openalex.org/W3105988977","https://openalex.org/W3114326749"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"Geometric":[0],"model":[1,57,120,131,152,163],"fitting":[2,46,166,199,210],"has":[3],"been":[4],"widely":[5],"applied":[6],"in":[7,59,76,85,174],"the":[8,20,54,112,119,124,142,157,160,176,194],"electronic":[9,189],"industry.":[10],"However,":[11],"it":[12],"remains":[13],"as":[14],"a":[15,24,41,71,134,150,171,181,186,202],"challenging":[16],"task":[17],"when":[18],"handling":[19],"data":[21,60],"corrupted":[22],"by":[23,138],"large":[25],"number":[26,158],"of":[27,56,73,78,141,162,188],"false":[28],"matches":[29,97],"(i.e.,":[30,98],"severe":[31,62],"outliers)":[32],"between":[33],"two-view":[34],"images.":[35],"In":[36,116],"this":[37,117],"article,":[38],"we":[39,68,101,148,168],"propose":[40,102,149],"novel":[42,151],"motion":[43,93],"consistency":[44,94],"guided":[45],"method":[47],"(MCF)":[48],"to":[49,92,107,155],"robustly":[50],"and":[51,145,159],"efficiently":[52],"estimate":[53,156],"parameters":[55,161],"instances":[58,132],"involving":[61],"outliers.":[63],"Specifically,":[64],"from":[65,111,123,180],"input":[66],"data,":[67],"first":[69],"generate":[70],"series":[72],"neighborhood":[74,114,146],"sets,":[75,147],"each":[77],"which":[79,175],"gross":[80],"outliers":[81],"that":[82,193],"are":[83,178],"inconsistent":[84],"motions":[86],"can":[87,128],"be":[88],"effectively":[89],"filtered,":[90],"according":[91],"among":[95],"true":[96],"inliers).":[99],"Then,":[100],"an":[103],"effective":[104],"sampling":[105],"algorithm":[106,154],"sample":[108],"minimal":[109,126],"subsets":[110,127],"generated":[113,143],"sets.":[115],"way,":[118],"hypotheses":[121,144],"computed":[122],"sampled":[125],"cover":[129],"all":[130],"with":[133],"high":[135],"probability.":[136],"Furthermore,":[137],"taking":[139],"advantages":[140],"selection":[153],"instances.":[164],"For":[165],"evaluation,":[167],"also":[169],"build":[170],"new":[172],"dataset,":[173],"images":[177],"collected":[179],"fundus":[182],"camera.":[183],"Experiments":[184],"on":[185],"variety":[187],"industrial":[190],"applications":[191],"show":[192],"proposed":[195],"MCF":[196],"achieves":[197],"higher":[198],"accuracy":[200],"at":[201],"much":[203],"lower":[204],"computational":[205],"cost":[206],"than":[207],"several":[208],"state-of-the-art":[209],"methods.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}