{"id":"https://openalex.org/W3013945499","doi":"https://doi.org/10.1145/3373509.3373551","title":"A Fast and Accurate Purification Method of Image Feature Point Pairs Using Structural Consistency Constraints","display_name":"A Fast and Accurate Purification Method of Image Feature Point Pairs Using Structural Consistency Constraints","publication_year":2019,"publication_date":"2019-10-23","ids":{"openalex":"https://openalex.org/W3013945499","doi":"https://doi.org/10.1145/3373509.3373551","mag":"3013945499"},"language":"en","primary_location":{"id":"doi:10.1145/3373509.3373551","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373509.3373551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition","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/A5009304686","display_name":"Bo Zhai","orcid":"https://orcid.org/0000-0002-7065-3846"},"institutions":[{"id":"https://openalex.org/I68581759","display_name":"China Academy of Launch Vehicle Technology","ror":"https://ror.org/012z62f48","country_code":"CN","type":"facility","lineage":["https://openalex.org/I68581759"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhai","raw_affiliation_strings":["Beijing institute of Astronautical Systems Engineering, China Academy of Launch Vehicle Technology, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing institute of Astronautical Systems Engineering, China Academy of Launch Vehicle Technology, Beijing","institution_ids":["https://openalex.org/I68581759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343991","display_name":"Ling Liu","orcid":"https://orcid.org/0000-0002-4138-3082"},"institutions":[{"id":"https://openalex.org/I68581759","display_name":"China Academy of Launch Vehicle Technology","ror":"https://ror.org/012z62f48","country_code":"CN","type":"facility","lineage":["https://openalex.org/I68581759"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Liu","raw_affiliation_strings":["Beijing institute of Astronautical Systems Engineering, China Academy of Launch Vehicle Technology, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing institute of Astronautical Systems Engineering, China Academy of Launch Vehicle Technology, Beijing","institution_ids":["https://openalex.org/I68581759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041612055","display_name":"Shu Xian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shu Xian","raw_affiliation_strings":["Space systems division, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space systems division, Beijing","institution_ids":[]}]},{"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/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Jin Zheng","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beijing","institution_ids":["https://openalex.org/I4392738276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101872372","display_name":"Bo Zhao","orcid":"https://orcid.org/0000-0002-7924-7676"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Zhao","raw_affiliation_strings":["Beijing institute of Astronautical Systems Engineering, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing institute of Astronautical Systems Engineering, Beijing","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059093895","display_name":"Hui-Biao Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui-Biao Hu","raw_affiliation_strings":["Beijing institute of Astronautical Systems Engineering, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing institute of Astronautical Systems Engineering, Beijing","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"80","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9948999881744385,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6518166661262512},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6503050327301025},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.6137112379074097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6058903932571411},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5980588793754578},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5941263437271118},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5381997227668762},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5110224485397339},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5086344480514526},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4850832521915436},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.471181184053421},{"id":"https://openalex.org/keywords/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.44628801941871643},{"id":"https://openalex.org/keywords/rigid-transformation","display_name":"Rigid transformation","score":0.4332396984100342},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4170458912849426},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4108377695083618},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3377380967140198},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2871103584766388}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6518166661262512},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6503050327301025},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.6137112379074097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6058903932571411},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5980588793754578},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5941263437271118},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5381997227668762},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5110224485397339},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5086344480514526},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4850832521915436},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.471181184053421},{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.44628801941871643},{"id":"https://openalex.org/C126795593","wikidata":"https://www.wikidata.org/wiki/Q7333813","display_name":"Rigid transformation","level":2,"score":0.4332396984100342},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4170458912849426},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4108377695083618},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3377380967140198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2871103584766388},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3373509.3373551","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373509.3373551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition","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":22,"referenced_works":["https://openalex.org/W1969638379","https://openalex.org/W1974398532","https://openalex.org/W1976443945","https://openalex.org/W1983216172","https://openalex.org/W1995921081","https://openalex.org/W1996362816","https://openalex.org/W2014843742","https://openalex.org/W2027126956","https://openalex.org/W2035728434","https://openalex.org/W2057749491","https://openalex.org/W2060695547","https://openalex.org/W2071677197","https://openalex.org/W2091606777","https://openalex.org/W2106199912","https://openalex.org/W2116801532","https://openalex.org/W2117228865","https://openalex.org/W2124404372","https://openalex.org/W2151103935","https://openalex.org/W2154793020","https://openalex.org/W2511832051","https://openalex.org/W2778859783","https://openalex.org/W2887849779"],"related_works":["https://openalex.org/W4210553842","https://openalex.org/W1669293561","https://openalex.org/W2124141313","https://openalex.org/W2171490473","https://openalex.org/W1982811570","https://openalex.org/W651493530","https://openalex.org/W2164621176","https://openalex.org/W2171028602","https://openalex.org/W2596834256","https://openalex.org/W2358018648"],"abstract_inverted_index":{"Feature-based":[0],"matching":[1,64,111],"of":[2,40,52,61,79,87],"images":[3,122,126],"is":[4,70],"a":[5,46],"key":[6],"method":[7,51,148],"in":[8,30],"pattern":[9],"recognition,":[10],"but":[11],"due":[12],"to":[13],"noise,":[14],"out-of-focus,":[15],"similar":[16],"texture,":[17],"et.":[18],"al.,":[19],"mismatched":[20,161],"feature":[21,54,162],"point":[22,55,163],"pairs":[23,56],"are":[24,101,133],"usually":[25],"generated,":[26],"and":[27,48,72,84,104,113,123,131,154],"easily":[28],"result":[29],"the":[31,37,58,62,80,85,88,94,99,110,118,142,146,160],"incorrect":[32],"final":[33],"results.":[34],"Based":[35],"on":[36],"linear":[38],"transformation":[39],"image":[41],"scenes,":[42],"this":[43],"paper":[44],"proposes":[45],"fast":[47,155],"accurate":[49],"purification":[50],"matched":[53],"using":[57],"structural":[59,68],"consistency":[60,69],"constructed":[63],"Delaunay":[65],"triangulations.":[66],"The":[67],"expressed":[71],"quantified":[73],"from":[74],"two":[75,95],"aspects:":[76],"distribution":[77],"correspondence":[78],"corresponding":[81,89],"adjacent":[82],"vertexes,":[83],"similarity":[86],"triangular":[90],"units.":[91],"By":[92],"taking":[93],"aspects":[96],"as":[97],"restraints,":[98],"mismatches":[100],"screened":[102],"out":[103],"removed":[105],"dynamically,":[106],"which":[107],"can":[108],"improve":[109],"foundation":[112],"give":[114],"better":[115],"support":[116],"for":[117,121,135,158],"further":[119],"processing":[120],"targets.":[124],"Representative":[125],"with":[127,141],"different":[128],"imaging":[129],"platforms":[130],"environments":[132],"chosen":[134],"experimentation.":[136],"Results":[137],"show":[138],"that":[139],"compared":[140],"existing":[143],"classical":[144],"methods,":[145],"proposed":[147],"has":[149],"high":[150],"accuracy,":[151],"good":[152],"robustness":[153],"computational":[156],"speed":[157],"removing":[159],"pairs.":[164]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}