{"id":"https://openalex.org/W3018435157","doi":"https://doi.org/10.1109/access.2020.2989157","title":"Fast SIFT Feature Matching Algorithm Based on Geometric Transformation","display_name":"Fast SIFT Feature Matching Algorithm Based on Geometric Transformation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3018435157","doi":"https://doi.org/10.1109/access.2020.2989157","mag":"3018435157"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2989157","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989157","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09075207.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09075207.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100635290","display_name":"Yongchao Wang","orcid":"https://orcid.org/0000-0001-6394-4701"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongchao Wang","raw_affiliation_strings":["Information Technology Center, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6394-4701","affiliations":[{"raw_affiliation_string":"Information Technology Center, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008898745","display_name":"Yijun Yuan","orcid":"https://orcid.org/0000-0002-6147-4846"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Yuan","raw_affiliation_strings":["School of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhao Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Lei","raw_affiliation_strings":["School of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100635290"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2749,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.82302966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"88133","last_page":"88140"},"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":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8674266338348389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7007776498794556},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6412793397903442},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.629101037979126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6029981970787048},{"id":"https://openalex.org/keywords/geometric-transformation","display_name":"Geometric transformation","score":0.5508015751838684},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47848743200302124},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.4671715199947357},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45840954780578613},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4495294988155365},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41431230306625366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.381185382604599},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33866554498672485},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.3258455991744995},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24955779314041138}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8674266338348389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7007776498794556},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6412793397903442},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.629101037979126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6029981970787048},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.5508015751838684},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47848743200302124},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.4671715199947357},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45840954780578613},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4495294988155365},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41431230306625366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.381185382604599},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33866554498672485},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.3258455991744995},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24955779314041138},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2989157","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989157","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09075207.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:650bbcfc57b14c6cbbeaf2da3c3ff433","is_oa":true,"landing_page_url":"https://doaj.org/article/650bbcfc57b14c6cbbeaf2da3c3ff433","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 88133-88140 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2989157","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989157","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09075207.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G5845579521","display_name":null,"funder_award_id":"LY19F020049","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320334871","display_name":"Cultural Heritage Administration","ror":"https://ror.org/0435dvj48"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3018435157.pdf","grobid_xml":"https://content.openalex.org/works/W3018435157.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1554174647","https://openalex.org/W1627400044","https://openalex.org/W1980635903","https://openalex.org/W2012833704","https://openalex.org/W2024668293","https://openalex.org/W2079000291","https://openalex.org/W2088171019","https://openalex.org/W2105413810","https://openalex.org/W2112634643","https://openalex.org/W2117083552","https://openalex.org/W2117443688","https://openalex.org/W2128017662","https://openalex.org/W2129404737","https://openalex.org/W2138835141","https://openalex.org/W2147717514","https://openalex.org/W2156598602","https://openalex.org/W2157941578","https://openalex.org/W2160014001","https://openalex.org/W2169561155","https://openalex.org/W2170536761","https://openalex.org/W2170605888","https://openalex.org/W2177274842","https://openalex.org/W2199898507","https://openalex.org/W2753893487","https://openalex.org/W4230940751","https://openalex.org/W6629956336","https://openalex.org/W6632963374","https://openalex.org/W6636759986","https://openalex.org/W6684723771"],"related_works":["https://openalex.org/W2049930962","https://openalex.org/W1501297619","https://openalex.org/W2026674073","https://openalex.org/W2053820737","https://openalex.org/W1484667368","https://openalex.org/W1590919747","https://openalex.org/W1988727984","https://openalex.org/W2114253841","https://openalex.org/W2105413810","https://openalex.org/W13825435"],"abstract_inverted_index":{"Structure":[0],"from":[1,21],"Motion":[2],"(SfM)":[3],"is":[4,55,59,68],"a":[5,47],"series":[6],"of":[7,33,73,82,101],"methods":[8,98],"for":[9],"reconstructing":[10],"scene":[11,75],"structure":[12,72],"(i.e.three-dimensional":[13],"space":[14],"points)":[15],"and":[16,42,50,76,79,95,103],"camera":[17],"motion":[18],"(i.e.camera":[19],"pose)":[20],"an":[22],"image":[23],"set.":[24],"In":[25],"this":[26],"paper,":[27],"aimed":[28],"at":[29],"the":[30,34,37,43,62,74],"low":[31],"accuracy":[32],"global":[35],"reconstruction,":[36,46],"robustness":[38],"to":[39],"external":[40],"points":[41],"time-consuming":[44],"incremental":[45],"fast,":[48],"closed-loop":[49],"high":[51],"precision":[52],"reconstruction":[53],"method":[54,58],"proposed.":[56],"The":[57],"based":[60],"on":[61],"SIFT":[63],"matching":[64,97],"algorithm":[65],"GeoMatch,":[66],"which":[67],"constrained":[69],"by":[70,77],"geometric":[71],"numerical":[78],"statistical":[80],"characteristics":[81],"feature":[83],"invariant":[84],"scale":[85],"transformation.":[86],"Experiments":[87],"show":[88],"that":[89],"GeoMatch":[90],"outperforms":[91],"both":[92],"traditional":[93],"tree-based":[94],"hash-based":[96],"in":[99],"terms":[100],"time":[102],"accuracy.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
