{"id":"https://openalex.org/W3094461306","doi":"https://doi.org/10.1109/lsp.2020.3031759","title":"Hierarchical RANSAC-Based Rotation Averaging","display_name":"Hierarchical RANSAC-Based Rotation Averaging","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3094461306","doi":"https://doi.org/10.1109/lsp.2020.3031759","mag":"3094461306"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.3031759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3031759","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5101892058","display_name":"Xiang Gao","orcid":"https://orcid.org/0000-0003-1497-5637"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Gao","raw_affiliation_strings":["College of Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035262213","display_name":"Jiazheng Luo","orcid":"https://orcid.org/0000-0003-4111-5413"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiazheng Luo","raw_affiliation_strings":["College of Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037329603","display_name":"Kunqian Li","orcid":"https://orcid.org/0000-0001-9831-6457"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunqian Li","raw_affiliation_strings":["College of Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102096824","display_name":"Zexiao Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexiao Xie","raw_affiliation_strings":["College of Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101892058"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":1.3256,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85032814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"1874","last_page":"1878"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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":0.998199999332428,"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":0.9864000082015991,"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":0.9848999977111816,"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/ransac","display_name":"RANSAC","score":0.9915752410888672},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7828904390335083},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.7710077166557312},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.6164504885673523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5154555439949036},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49192309379577637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48902735114097595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48395493626594543},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41877883672714233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40171876549720764},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08049598336219788}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.9915752410888672},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7828904390335083},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.7710077166557312},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.6164504885673523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5154555439949036},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49192309379577637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48902735114097595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48395493626594543},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41877883672714233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40171876549720764},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08049598336219788},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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":1,"locations":[{"id":"doi:10.1109/lsp.2020.3031759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3031759","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1786105690","display_name":null,"funder_award_id":"62003319","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G544428086","display_name":null,"funder_award_id":"202000010","funder_id":"https://openalex.org/F4320326873","funder_display_name":"National Laboratory of Pattern Recognition"},{"id":"https://openalex.org/G7408572944","display_name":null,"funder_award_id":"61906177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7650653847","display_name":null,"funder_award_id":"62076026","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320326873","display_name":"National Laboratory of Pattern Recognition","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1501520364","https://openalex.org/W1958116060","https://openalex.org/W1993228150","https://openalex.org/W1993336109","https://openalex.org/W2007806707","https://openalex.org/W2058017216","https://openalex.org/W2085261163","https://openalex.org/W2095293504","https://openalex.org/W2107181183","https://openalex.org/W2112634643","https://openalex.org/W2129201358","https://openalex.org/W2131681506","https://openalex.org/W2135957668","https://openalex.org/W2199898507","https://openalex.org/W2217143704","https://openalex.org/W2519570530","https://openalex.org/W2520592772","https://openalex.org/W2605778869","https://openalex.org/W2753893487","https://openalex.org/W2755900095","https://openalex.org/W2893830906","https://openalex.org/W2904965361","https://openalex.org/W2969427715","https://openalex.org/W3025047669","https://openalex.org/W3034473722","https://openalex.org/W3099768174","https://openalex.org/W3100250216","https://openalex.org/W3110163271","https://openalex.org/W4248598408","https://openalex.org/W6781983003"],"related_works":["https://openalex.org/W2082446201","https://openalex.org/W2111113322","https://openalex.org/W4312286391","https://openalex.org/W2113845741","https://openalex.org/W2737053732","https://openalex.org/W2362714107","https://openalex.org/W2099927035","https://openalex.org/W2532401163","https://openalex.org/W2139770562","https://openalex.org/W73815255"],"abstract_inverted_index":{"In":[0,110],"this":[1],"letter,":[2],"we":[3],"present":[4],"a":[5,14,125],"novel":[6],"rotation":[7,20,39,105,131],"averaging":[8,21,106,132],"pipeline,":[9],"which":[10,23],"is":[11,67,84,94],"performed":[12,108,123],"in":[13,124],"hierarchical":[15],"manner.":[16],"Unlike":[17],"the":[18,34,37,42,50,61,64,75,80,87,92,100,119,130,142,150],"traditional":[19],"methods":[22],"focus":[24],"on":[25,74,141],"designing":[26],"robust":[27,52],"loss":[28],"function":[29],"to":[30,86,128],"get":[31],"rid":[32],"of":[33,36,89,118,152],"impacts":[35],"relative":[38],"outliers,":[40],"here":[41],"outliers":[43],"are":[44,107,122],"detected":[45],"and":[46,99,102,115,138,144],"filtered":[47],"by":[48,70],"leveraging":[49],"well-known":[51],"model":[53],"estimation":[54,82],"procedure,":[55],"RANdom":[56],"SAmple":[57],"Consensus":[58],"(RANSAC).":[59],"During":[60],"RANSAC":[62,81],"process,":[63],"minimal":[65,90,120],"set":[66,121],"randomly":[68],"sampled":[69],"random":[71,113],"tree":[72],"spanning":[73],"Epipolar-geometry":[76],"Graph":[77],"(EG).":[78],"As":[79],"result":[83],"sensitive":[85],"size":[88],"set,":[91],"EG":[93],"clustered":[95],"into":[96],"several":[97],"sub-graphs,":[98],"inner-":[101],"inter-cluster":[103],"RANSAC-based":[104],"hierarchically.":[109],"addition,":[111],"both":[112],"generation":[114],"optimal":[116],"selection":[117],"weighted":[126],"manner":[127],"make":[129],"pipeline":[133],"more":[134],"robust.":[135],"Ablation":[136],"studies":[137],"comparison":[139],"experiments":[140],"1DSfM":[143],"San":[145],"Francisco":[146],"(SNF)":[147],"datasets":[148],"demonstrate":[149],"effectiveness":[151],"our":[153],"proposed":[154],"method.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}