{"id":"https://openalex.org/W2890226056","doi":"https://doi.org/10.1109/icassp.2018.8461504","title":"Feature Matching Based on Top K Rank Similarity","display_name":"Feature Matching Based on Top K Rank Similarity","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2890226056","doi":"https://doi.org/10.1109/icassp.2018.8461504","mag":"2890226056"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5087165831","display_name":"Junjun Jiang","orcid":"https://orcid.org/0000-0002-5694-505X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Junjun Jiang","raw_affiliation_strings":["NII, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"NII, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101456529","display_name":"Qing Ma","orcid":"https://orcid.org/0000-0002-3902-3635"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Ma","raw_affiliation_strings":["CCNU, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"CCNU, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089404454","display_name":"Tao L\u00fc","orcid":"https://orcid.org/0000-0001-8117-2012"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Lu","raw_affiliation_strings":["WIT, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"WIT, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741750","display_name":"Zhongyuan Wang","orcid":"https://orcid.org/0000-0002-9796-488X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyuan Wang","raw_affiliation_strings":["WHU, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"WHU, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040010053","display_name":"Jiayi Ma","orcid":"https://orcid.org/0000-0003-3264-3265"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Ma","raw_affiliation_strings":["WHU, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"WHU, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087165831"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6267,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74180882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2316","last_page":"2320"},"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9918000102043152,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9900000095367432,"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/matching","display_name":"Matching (statistics)","score":0.7251640558242798},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7119402885437012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.647362470626831},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6291934251785278},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5997525453567505},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5648344159126282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5553560853004456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5512965321540833},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4917621910572052},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48606351017951965},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45030155777931213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2718448042869568},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11872750520706177},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07465532422065735},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07346901297569275}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7251640558242798},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7119402885437012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.647362470626831},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6291934251785278},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5997525453567505},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5648344159126282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5553560853004456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5512965321540833},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4917621910572052},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48606351017951965},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45030155777931213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2718448042869568},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11872750520706177},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07465532422065735},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07346901297569275},{"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/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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W59289346","https://openalex.org/W1238303787","https://openalex.org/W1561797649","https://openalex.org/W1744214816","https://openalex.org/W1984961174","https://openalex.org/W2001881245","https://openalex.org/W2016213557","https://openalex.org/W2046434485","https://openalex.org/W2071730188","https://openalex.org/W2085261163","https://openalex.org/W2098894541","https://openalex.org/W2106199912","https://openalex.org/W2114712988","https://openalex.org/W2126080861","https://openalex.org/W2130871783","https://openalex.org/W2137089267","https://openalex.org/W2151103935","https://openalex.org/W2166820607","https://openalex.org/W2169633581","https://openalex.org/W2369976370","https://openalex.org/W2419507445","https://openalex.org/W2510970676","https://openalex.org/W2557974672","https://openalex.org/W2580558899","https://openalex.org/W2588249105","https://openalex.org/W2604211872","https://openalex.org/W2604297794","https://openalex.org/W2735299109","https://openalex.org/W2740578684","https://openalex.org/W2749135569","https://openalex.org/W2963989829","https://openalex.org/W4256046779","https://openalex.org/W6602365502","https://openalex.org/W6637760914","https://openalex.org/W6650787091","https://openalex.org/W6717687347","https://openalex.org/W6735988346","https://openalex.org/W6736223600","https://openalex.org/W6742038956","https://openalex.org/W6744127754","https://openalex.org/W6997266731"],"related_works":["https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2362101859","https://openalex.org/W2791431590","https://openalex.org/W1978900583","https://openalex.org/W2350688482","https://openalex.org/W2053575972","https://openalex.org/W4323256314","https://openalex.org/W2087777635","https://openalex.org/W4322616263"],"abstract_inverted_index":{"Feature":[0],"matching":[1,98,147],"plays":[2],"a":[3,77,153],"key":[4],"component":[5],"in":[6,150],"many":[7],"computer":[8],"vision":[9],"and":[10,79,136],"pattern":[11],"recognition":[12],"tasks.":[13],"Observing":[14],"that":[15,141],"the":[16,21,47,52,62,103,111,137],"spatial":[17],"neighborhood":[18,49,64],"relationship":[19],"(representing":[20],"topological":[22],"structures":[23,50],"of":[24,36,51,69,101,105,117,152,156],"an":[25,37,67],"image":[26,38,130],"scene)":[27],"is":[28,66,124],"generally":[29],"well":[30],"preserved":[31],"between":[32],"two":[33,118],"feature":[34,119,134,146],"points":[35],"pair,":[39],"some":[40],"mismatch":[41,91],"removing":[42],"methods":[43],"based":[44],"on":[45,126],"maintaining":[46],"local":[48,63],"potential":[53],"true":[54],"matches":[55],"have":[56],"been":[57],"proposed.":[58],"How":[59],"to":[60],"define":[61],"structure":[65],"issue":[68],"vital":[70],"importance.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"propose":[76],"robust":[78],"efficient":[80],"method,":[81],"called":[82],"Top":[83],"<tex":[84,113],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[85,114],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$K$</tex>":[86,115],"Rank":[87],"Preservation":[88],"(Top-KRP),":[89],"for":[90,132],"removal":[92],"from":[93],"given":[94],"putative":[95],"point":[96],"set":[97],"correspondences.":[99],"Instead":[100],"preserving":[102,110],"intersection":[104],"neighbors,":[106],"TopKRP":[107],"aims":[108],"at":[109],"top":[112],"rank":[116],"points.":[120],"The":[121],"developed":[122],"approach":[123],"validated":[125],"numerous":[127],"challenging":[128],"real":[129],"pairs":[131],"general":[133],"matching,":[135],"experimental":[138],"results":[139],"demonstrate":[140],"it":[142],"outperforms":[143],"several":[144],"state-of-the-art":[145],"methods,":[148],"especially":[149],"case":[151],"large":[154],"number":[155],"mismatches.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
