{"id":"https://openalex.org/W2126130784","doi":"https://doi.org/10.1109/tip.2012.2226043","title":"Flip-Invariant SIFT for Copy and Object Detection","display_name":"Flip-Invariant SIFT for Copy and Object Detection","publication_year":2012,"publication_date":"2012-10-22","ids":{"openalex":"https://openalex.org/W2126130784","doi":"https://doi.org/10.1109/tip.2012.2226043","mag":"2126130784","pmid":"https://pubmed.ncbi.nlm.nih.gov/23144031"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2012.2226043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2226043","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":true,"oa_status":"green","oa_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=7326&amp;amp;context=sis_research","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101660306","display_name":"Wan\u2010Lei Zhao","orcid":"https://orcid.org/0000-0002-7915-447X"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["DE","FR"],"is_corresponding":true,"raw_author_name":"Wan-Lei Zhao","raw_affiliation_strings":["INRIA-Rennes, Rennes Cedex 35042, France. wanlei.zhao@inria.fr","Department of Computer Science, University of Kaiserslautern, Kaiserslautern, Germany","INRIA-Rennes-Bretagne Atlantique, Rennes, France"],"affiliations":[{"raw_affiliation_string":"INRIA-Rennes, Rennes Cedex 35042, France. wanlei.zhao@inria.fr","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"raw_affiliation_string":"Department of Computer Science, University of Kaiserslautern, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]},{"raw_affiliation_string":"INRIA-Rennes-Bretagne Atlantique, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010722442","display_name":"Chong\u2010Wah Ngo","orcid":"https://orcid.org/0000-0003-4182-8261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chong-Wah Ngo","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101660306"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I153267046","https://openalex.org/I4210133778"],"apc_list":null,"apc_paid":null,"fwci":10.5474,"has_fulltext":false,"cited_by_count":135,"citation_normalized_percentile":{"value":0.98677259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"22","issue":"3","first_page":"980","last_page":"991"},"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":1.0,"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":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983000159263611,"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":0.9873340129852295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6795768737792969},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5630877614021301},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5257307291030884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5216370224952698},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5067082047462463},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5064250230789185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5051541924476624},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4714081287384033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41427111625671387},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4126494228839874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18885445594787598}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9873340129852295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6795768737792969},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5630877614021301},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5257307291030884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5216370224952698},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5067082047462463},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5064250230789185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5051541924476624},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4714081287384033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41427111625671387},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4126494228839874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18885445594787598},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"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":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","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":"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":3,"locations":[{"id":"doi:10.1109/tip.2012.2226043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2226043","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:23144031","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23144031","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},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-7326","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=7326&amp;amp;context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1109/TIP.2012.2226043","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-7326","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=7326&amp;amp;context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1109/TIP.2012.2226043","raw_type":"Journal Article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322701","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W58661668","https://openalex.org/W1556531089","https://openalex.org/W1606858007","https://openalex.org/W1677409904","https://openalex.org/W1959000896","https://openalex.org/W1991837931","https://openalex.org/W2010668953","https://openalex.org/W2012592962","https://openalex.org/W2027485027","https://openalex.org/W2031489346","https://openalex.org/W2062903088","https://openalex.org/W2068143350","https://openalex.org/W2088156168","https://openalex.org/W2107146273","https://openalex.org/W2109200236","https://openalex.org/W2119605622","https://openalex.org/W2124795170","https://openalex.org/W2126833203","https://openalex.org/W2141362318","https://openalex.org/W2144127483","https://openalex.org/W2147238549","https://openalex.org/W2151103935","https://openalex.org/W2172188317","https://openalex.org/W2177274842","https://openalex.org/W2186094539","https://openalex.org/W2248282706","https://openalex.org/W3186785447","https://openalex.org/W6602396232","https://openalex.org/W6636412649"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2049930962","https://openalex.org/W2739923608","https://openalex.org/W2156402652","https://openalex.org/W195785743","https://openalex.org/W4387272257","https://openalex.org/W2100099236","https://openalex.org/W1575585820","https://openalex.org/W2061719785"],"abstract_inverted_index":{"Scale-invariant":[0],"feature":[1,4],"transform":[2],"(SIFT)":[3],"has":[5],"been":[6],"widely":[7],"accepted":[8],"as":[9],"an":[10],"effective":[11],"local":[12,102],"keypoint":[13,219],"descriptor":[14],"for":[15,147,223],"its":[16],"invariance":[17],"to":[18,59,91,169,195],"rotation,":[19],"scale,":[20],"and":[21,104,132,150],"lighting":[22],"changes":[23],"in":[24,56,175,187,209],"images.":[25],"However,":[26],"it":[27,194],"is":[28,35,42,154,221],"also":[29,167],"well":[30],"known":[31],"that":[32,81],"SIFT,":[33,165],"which":[34,139],"derived":[36],"from":[37],"directionally":[38],"sensitive":[39],"gradient":[40],"fields,":[41],"not":[43,157],"flip":[44,49,143,190],"invariant.":[45],"In":[46,134,178,199],"real-world":[47],"applications,":[48],"or":[50,65],"flip-like":[51],"transformations":[52],"are":[53],"commonly":[54],"observed":[55,222],"images":[57],"due":[58],"artificial":[60],"flipping,":[61],"opposite":[62],"capturing":[63],"viewpoint,":[64],"symmetric":[66,211],"patterns":[67],"of":[68,86,100,115,121,145,164,185,207,218],"objects.":[69,212],"This":[70],"paper":[71],"proposes":[72],"a":[73,101,137,170],"new":[74],"descriptor,":[75],"named":[76],"flip-invariant":[77],"SIFT":[78,87],"(or":[79],"F-SIFT),":[80],"preserves":[82],"the":[83,97,108,113,119,142,161,183,205,226],"original":[84,227],"properties":[85,144],"while":[88],"being":[89],"tolerant":[90],"flips.":[92],"F-SIFT":[93,122,146,156,186,208,224],"starts":[94],"by":[95,110,192],"estimating":[96],"dominant":[98],"curl":[99],"patch":[103,109],"then":[105],"geometrically":[106],"normalizes":[107],"flipping":[111],"before":[112],"computation":[114],"SIFT.":[116,228],"We":[117],"demonstrate":[118,182],"power":[120],"on":[123],"three":[124],"tasks:":[125],"large-scale":[126],"video":[127],"copy":[128,135],"detection,":[129,136,201],"object":[130,179,200],"recognition,":[131,180],"detection.":[133],"framework,":[138],"smartly":[140],"indices":[141],"rapid":[148],"filtering":[149],"weak":[151],"geometric":[152],"checking,":[153],"proposed.":[155],"only":[158],"significantly":[159],"improves":[160],"detection":[162],"accuracy":[163],"but":[166],"leads":[168],"more":[171],"than":[172],"50%":[173],"savings":[174],"computational":[176],"cost.":[177],"we":[181,202],"superiority":[184],"dealing":[188],"with":[189],"transformation":[191],"comparing":[193],"seven":[196],"other":[197],"descriptors.":[198],"further":[203],"show":[204],"ability":[206],"describing":[210],"Consistent":[213],"improvement":[214],"across":[215],"different":[216],"kinds":[217],"detectors":[220],"over":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":8}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
