{"id":"https://openalex.org/W2031022600","doi":"https://doi.org/10.1109/icip.2014.7026159","title":"Low-rank SIFT: An affine invariant feature for place recognition","display_name":"Low-rank SIFT: An affine invariant feature for place recognition","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2031022600","doi":"https://doi.org/10.1109/icip.2014.7026159","mag":"2031022600"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7026159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5102089582","display_name":"Harry Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Harry Yang","raw_affiliation_strings":["Computer Science and Engineering Department, The Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053274349","display_name":"Shengnan Cai","orcid":"https://orcid.org/0009-0001-8302-6067"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shengnan Cai","raw_affiliation_strings":["Computer Science and Engineering Department, The Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075880303","display_name":"Jingdong Wang","orcid":"https://orcid.org/0000-0002-4888-4445"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingdong Wang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006199483","display_name":"Long Quan","orcid":"https://orcid.org/0000-0001-8148-1771"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Long Quan","raw_affiliation_strings":["Computer Science and Engineering Department, The Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102089582"],"corresponding_institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":19.7822,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.98683969,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"404?417","issue":null,"first_page":"5731","last_page":"5735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/affine-transformation","display_name":"Affine transformation","score":0.8079608678817749},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7904928922653198},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6136612296104431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5987100005149841},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5418480634689331},{"id":"https://openalex.org/keywords/affine-hull","display_name":"Affine hull","score":0.5097777247428894},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.5046771764755249},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45317795872688293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4525741934776306},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4489153027534485},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.445185124874115},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4425332248210907},{"id":"https://openalex.org/keywords/harris-affine-region-detector","display_name":"Harris affine region detector","score":0.430474191904068},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.42917561531066895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41822439432144165},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3369331359863281},{"id":"https://openalex.org/keywords/affine-space","display_name":"Affine space","score":0.3299664855003357},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11387670040130615},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07518789172172546}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.8079608678817749},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7904928922653198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6136612296104431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5987100005149841},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5418480634689331},{"id":"https://openalex.org/C112128483","wikidata":"https://www.wikidata.org/wiki/Q382504","display_name":"Affine hull","level":4,"score":0.5097777247428894},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.5046771764755249},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45317795872688293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4525741934776306},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4489153027534485},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.445185124874115},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4425332248210907},{"id":"https://openalex.org/C6408098","wikidata":"https://www.wikidata.org/wiki/Q17021115","display_name":"Harris affine region detector","level":5,"score":0.430474191904068},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.42917561531066895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41822439432144165},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3369331359863281},{"id":"https://openalex.org/C173110770","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine space","level":3,"score":0.3299664855003357},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11387670040130615},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07518789172172546},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2014.7026159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.760.3269","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.760.3269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1408.1688.pdf","raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-71402","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-84949927484&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","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":28,"referenced_works":["https://openalex.org/W199797433","https://openalex.org/W1537528663","https://openalex.org/W1676552347","https://openalex.org/W1677409904","https://openalex.org/W1736339626","https://openalex.org/W1760407951","https://openalex.org/W1817048459","https://openalex.org/W1976591483","https://openalex.org/W2015941372","https://openalex.org/W2052094314","https://openalex.org/W2107987248","https://openalex.org/W2124386111","https://openalex.org/W2124404372","https://openalex.org/W2125715746","https://openalex.org/W2128017662","https://openalex.org/W2134446283","https://openalex.org/W2142077116","https://openalex.org/W2145962650","https://openalex.org/W2147237076","https://openalex.org/W2172188317","https://openalex.org/W3144510026","https://openalex.org/W6608068731","https://openalex.org/W6632111687","https://openalex.org/W6637400245","https://openalex.org/W6638486037","https://openalex.org/W6678875983","https://openalex.org/W6681016373","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W2184784635","https://openalex.org/W2783438186","https://openalex.org/W2106401644","https://openalex.org/W1525943358","https://openalex.org/W2180439206","https://openalex.org/W151368118","https://openalex.org/W2964008969","https://openalex.org/W4300070731","https://openalex.org/W2399434605","https://openalex.org/W2546891199"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,95,111],"study":[4],"the":[5,21,60,106,122,127,133],"problem":[6],"of":[7,115,129],"recognizing":[8],"man-made":[9,26],"objects":[10],"and":[11,58,70,94],"present":[12],"a":[13,97,113,117],"novel":[14],"affine-invariant":[15],"feature,":[16],"Low-rank":[17,107],"SIFT,":[18],"which":[19],"exploits":[20],"regular":[22],"appearance":[23],"property":[24],"in":[25,77,132],"objects.":[27],"The":[28,73],"proposed":[29],"feature":[30],"achieves":[31],"full":[32],"affine":[33,40,88],"invariance":[34],"without":[35],"needing":[36],"to":[37,50,54,63,66,82,86,100,135],"simulate":[38],"over":[39],"parameter":[41],"space.":[42],"We":[43,125],"rectify":[44],"local":[45,91],"patches":[46,92],"by":[47,104],"converting":[48],"them":[49],"their":[51],"low-rank":[52,84],"forms":[53],"achieve":[55],"skew":[56],"invariance,":[57],"perform":[59],"way":[61],"similar":[62],"conventional":[64],"SIFT":[65],"resolve":[67],"rotation,":[68],"translation":[69],"scaling":[71],"ambiguity.":[72],"main":[74],"contributions":[75],"lie":[76],"two-fold:":[78],"our":[79,130],"method":[80],"seeks":[81],"leverage":[83],"prior":[85],"estimate":[87],"parameters":[89,103],"for":[90],"directly":[93],"propose":[96],"fast":[98],"algorithm":[99],"compute":[101],"such":[102],"introducing":[105],"Integral":[108],"Map.":[109],"Besides,":[110],"describe":[112],"pipeline":[114],"constructing":[116],"geotagged":[118],"building":[119],"database":[120],"from":[121],"ground":[123],"up.":[124],"demonstrate":[126],"effectiveness":[128],"approach":[131],"application":[134],"place":[136],"recognition.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
