{"id":"https://openalex.org/W2115189383","doi":"https://doi.org/10.1109/tip.2010.2103948","title":"Scale- and Affine-Invariant Fan Feature","display_name":"Scale- and Affine-Invariant Fan Feature","publication_year":2011,"publication_date":"2011-01-10","ids":{"openalex":"https://openalex.org/W2115189383","doi":"https://doi.org/10.1109/tip.2010.2103948","mag":"2115189383","pmid":"https://pubmed.ncbi.nlm.nih.gov/21224174"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2010.2103948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2010.2103948","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5079599603","display_name":"Chunhui Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunhui Cui","raw_affiliation_strings":["Department of Electronic Engineering, the Chinese University of Hong Kong, Shatin NT, Hong Kong. chcui@ee.cuhk.edu.hk","Dept of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, the Chinese University of Hong Kong, Shatin NT, Hong Kong. chcui@ee.cuhk.edu.hk","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062332580","display_name":"King Ngi Ngan","orcid":"https://orcid.org/0000-0003-1946-3235"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"King Ngi Ngan","raw_affiliation_strings":["Department of Electronic Engineering, Chinese University of Hong Kong, New Territories, Hong Kong, China","Dept of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chinese University of Hong Kong, New Territories, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079599603"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":1.5454,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86028777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"20","issue":"6","first_page":"1627","last_page":"1640"},"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":0.9987000226974487,"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":0.9952999949455261,"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":0.8153102397918701},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.7357702851295471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6746506690979004},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5600216388702393},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5554119348526001},{"id":"https://openalex.org/keywords/blob-detection","display_name":"Blob detection","score":0.5182214379310608},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5141937732696533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48536503314971924},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.47884297370910645},{"id":"https://openalex.org/keywords/harris-affine-region-detector","display_name":"Harris affine region detector","score":0.4613701105117798},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.43975722789764404},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.43691015243530273},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4208250641822815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3982034921646118},{"id":"https://openalex.org/keywords/affine-shape-adaptation","display_name":"Affine shape adaptation","score":0.3755192756652832},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.2809314727783203},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23430824279785156},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.21968600153923035},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19000542163848877},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.14352697134017944}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8153102397918701},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.7357702851295471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6746506690979004},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5600216388702393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5554119348526001},{"id":"https://openalex.org/C29168087","wikidata":"https://www.wikidata.org/wiki/Q1026711","display_name":"Blob detection","level":5,"score":0.5182214379310608},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5141937732696533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48536503314971924},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.47884297370910645},{"id":"https://openalex.org/C6408098","wikidata":"https://www.wikidata.org/wiki/Q17021115","display_name":"Harris affine region detector","level":5,"score":0.4613701105117798},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.43975722789764404},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.43691015243530273},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4208250641822815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3982034921646118},{"id":"https://openalex.org/C18516315","wikidata":"https://www.wikidata.org/wiki/Q4688950","display_name":"Affine shape adaptation","level":4,"score":0.3755192756652832},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.2809314727783203},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23430824279785156},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.21968600153923035},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19000542163848877},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.14352697134017944},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2010.2103948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2010.2103948","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:21224174","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21224174","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1506762359","https://openalex.org/W1557061047","https://openalex.org/W1607217798","https://openalex.org/W1699734612","https://openalex.org/W1970269179","https://openalex.org/W1980911747","https://openalex.org/W1984757472","https://openalex.org/W2005135310","https://openalex.org/W2029342114","https://openalex.org/W2056313036","https://openalex.org/W2086374833","https://openalex.org/W2098789800","https://openalex.org/W2109200236","https://openalex.org/W2111308925","https://openalex.org/W2112020727","https://openalex.org/W2119781527","https://openalex.org/W2119823327","https://openalex.org/W2124386111","https://openalex.org/W2124404372","https://openalex.org/W2126833203","https://openalex.org/W2141094784","https://openalex.org/W2142440858","https://openalex.org/W2143343451","https://openalex.org/W2143539328","https://openalex.org/W2145023731","https://openalex.org/W2148227735","https://openalex.org/W2151103935","https://openalex.org/W2152739884","https://openalex.org/W2154489919","https://openalex.org/W2157629193","https://openalex.org/W2157788957","https://openalex.org/W2162808897","https://openalex.org/W2163337229","https://openalex.org/W2165497495","https://openalex.org/W2172188317","https://openalex.org/W2177274842","https://openalex.org/W4249522571","https://openalex.org/W6636318775"],"related_works":["https://openalex.org/W2350376800","https://openalex.org/W2184784635","https://openalex.org/W2020310427","https://openalex.org/W2139206752","https://openalex.org/W1676552347","https://openalex.org/W2038416447","https://openalex.org/W1969252010","https://openalex.org/W2598478962","https://openalex.org/W2030690614","https://openalex.org/W2109583558"],"abstract_inverted_index":{"Most":[0],"existing":[1],"feature":[2,140,154],"detectors":[3],"assume":[4],"no":[5],"surface":[6,27,78,122,181],"discontinuity":[7,79],"within":[8],"the":[9,20,26,51,59,91,98,110,115,120,137,151,162,198],"keypoints'":[10],"support":[11],"regions":[12],"and,":[13],"hence,":[14],"have":[15],"little":[16],"chance":[17],"to":[18,74,77,109,161,194],"match":[19,177],"keypoints":[21],"located":[22],"on":[23,97,114,216],"or":[24],"near":[25,180],"boundaries.":[28],"These":[29,83,190],"keypoints,":[30],"though":[31],"not":[32],"many,":[33],"are":[34,86,127,192,202],"salient":[35],"and":[36,54,80,187,201,219],"representative.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,174],"show":[42,149],"that":[43,150,158],"they":[44],"can":[45,175],"be":[46],"successfully":[47,176],"matched":[48],"by":[49,67,89,130,170,197],"using":[50,90,171],"proposed":[52,152],"scale-":[53],"affine-invariant":[55],"Fan":[56,72,84,99,111,125,153,172],"features.":[57],"Specifically,":[58],"image":[60,178,217],"neighborhood":[61],"of":[62,101,119,136,146],"a":[63],"keypoint":[64],"is":[65,106,133,159,211],"depicted":[66],"multiple":[68],"fan":[69],"subregions,":[70],"namely":[71],"features,":[73,173],"provide":[75],"robustness":[76],"background":[81,188],"change.":[82],"features":[85,112,126,164],"made":[87],"scale-invariant":[88,139],"automatic":[92],"scale":[93],"selection":[94],"method":[95],"based":[96,113],"Laplacian":[100],"Gaussian":[102],"(FLOG).":[103],"Affine":[104],"invariance":[105],"further":[107],"introduced":[108],"affine":[116],"shape":[117],"diagnosis":[118],"mirror-predicted":[121],"patch.":[123],"The":[124],"then":[128],"described":[129],"Fan-SIFT,":[131],"which":[132,210],"an":[134],"extension":[135],"famous":[138],"transform":[141],"(SIFT)":[142],"descriptor.":[143],"Experimental":[144],"results":[145],"quantitative":[147],"comparisons":[148],"has":[155],"good":[156],"repeatability":[157],"comparable":[160],"state-of-the-art":[163],"for":[165,205],"general":[166],"structured":[167],"scenes.":[168],"Moreover,":[169],"structures":[179,191],"discontinuities":[182],"despite":[183],"significant":[184],"scale,":[185],"viewpoint,":[186],"changes.":[189],"complementary":[193],"those":[195],"found":[196],"traditional":[199],"methods":[200],"especially":[203],"useful":[204],"describing":[206],"weakly":[207],"textured":[208],"scenes,":[209],"demonstrated":[212],"in":[213],"our":[214],"experiments":[215],"matching":[218],"object":[220],"rendering.":[221]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
