{"id":"https://openalex.org/W2133442958","doi":"https://doi.org/10.1109/iccv.2009.5459398","title":"Consensus set maximization with guaranteed global optimality for robust geometry estimation","display_name":"Consensus set maximization with guaranteed global optimality for robust geometry estimation","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2133442958","doi":"https://doi.org/10.1109/iccv.2009.5459398","mag":"2133442958"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","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/A5101819058","display_name":"Hongdong Li","orcid":"https://orcid.org/0000-0002-5407-4211"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Hongdong Li","raw_affiliation_strings":["NICTA, Australian National University, Canberra, ACT, Australia","NICTA and Australian National University, Canberra ACT 0200 Australia"],"affiliations":[{"raw_affiliation_string":"NICTA, Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I118347636"]},{"raw_affiliation_string":"NICTA and Australian National University, Canberra ACT 0200 Australia","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101819058"],"corresponding_institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":3.9374,"has_fulltext":false,"cited_by_count":158,"citation_normalized_percentile":{"value":0.9431252,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1074","last_page":"1080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.992900013923645,"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":0.992900013923645,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9891999959945679,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.8700628280639648},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6780948638916016},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6737136840820312},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5959528088569641},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5956340432167053},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5370376110076904},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.5368742346763611},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5094454884529114},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.49199697375297546},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.46688950061798096},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4632490873336792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4567072093486786},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42869091033935547},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4063831567764282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16858646273612976}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8700628280639648},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6780948638916016},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6737136840820312},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5959528088569641},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5956340432167053},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5370376110076904},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.5368742346763611},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5094454884529114},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.49199697375297546},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.46688950061798096},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4632490873336792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4567072093486786},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42869091033935547},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4063831567764282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16858646273612976},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv.2009.5459398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.210.4464","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.210.4464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.rsise.anu.edu.au/~hongdong/iccv09.pdf","raw_type":"text"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/54073","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/54073","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of IEEE International Conference on Computer Vision (ICCV 2009)","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1496447336","https://openalex.org/W1508960934","https://openalex.org/W1873846702","https://openalex.org/W1988622494","https://openalex.org/W2033819227","https://openalex.org/W2046434485","https://openalex.org/W2055743756","https://openalex.org/W2057749491","https://openalex.org/W2081929325","https://openalex.org/W2085261163","https://openalex.org/W2104391975","https://openalex.org/W2113622401","https://openalex.org/W2115001439","https://openalex.org/W2115601136","https://openalex.org/W2125938196","https://openalex.org/W2130515279","https://openalex.org/W2140427427","https://openalex.org/W2142262446","https://openalex.org/W2164703480","https://openalex.org/W2168104347","https://openalex.org/W2209124607","https://openalex.org/W6639172106","https://openalex.org/W6671124718","https://openalex.org/W6676758378","https://openalex.org/W6681356515","https://openalex.org/W6684742562"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W2981196697","https://openalex.org/W3012182724","https://openalex.org/W2115876589","https://openalex.org/W1988708904","https://openalex.org/W2769402452","https://openalex.org/W2091258128","https://openalex.org/W1983540692","https://openalex.org/W2065369945"],"abstract_inverted_index":{"Finding":[0],"the":[1,8,13,33,54,59,76,81,87,93],"largest":[2],"consensus":[3,36],"set":[4,37],"is":[5,96],"one":[6],"of":[7,23,35,90,104],"key":[9],"ideas":[10],"used":[11],"by":[12],"original":[14],"RANSAC":[15,29],"for":[16],"removing":[17],"outliers":[18],"in":[19],"robust-estimation.":[20],"However,":[21],"because":[22],"its":[24],"random":[25],"and":[26,40,67],"non-deterministic":[27],"nature,":[28],"does":[30],"not":[31],"fulfill":[32],"goal":[34],"maximization":[38],"exactly":[39],"optimally.":[41],"Based":[42],"on":[43],"global":[44],"optimization,":[45],"this":[46],"paper":[47],"presents":[48],"a":[49,62,71,101],"new":[50,94],"algorithm":[51,95],"that":[52],"solves":[53],"problem":[55,60],"exactly.":[56],"We":[57],"reformulate":[58],"as":[61],"mixed":[63],"integer":[64],"programming":[65],"(MIP),":[66],"solve":[68],"it":[69],"via":[70],"tailored":[72],"branch-and-bound":[73],"method,":[74],"where":[75],"bounds":[77],"are":[78],"computed":[79],"from":[80,100],"MIP's":[82],"convex":[83],"under-estimators.":[84],"By":[85],"exploiting":[86],"special":[88],"structure":[89],"linear":[91],"robust-estimation,":[92],"also":[97],"made":[98],"efficient":[99],"computational":[102],"point":[103],"view.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2025-10-10T00:00:00"}
