{"id":"https://openalex.org/W1987860178","doi":"https://doi.org/10.1109/tip.2012.2195012","title":"Robust Pairwise Matching of Interest Points With Complex Wavelets","display_name":"Robust Pairwise Matching of Interest Points With Complex Wavelets","publication_year":2012,"publication_date":"2012-04-18","ids":{"openalex":"https://openalex.org/W1987860178","doi":"https://doi.org/10.1109/tip.2012.2195012","mag":"1987860178","pmid":"https://pubmed.ncbi.nlm.nih.gov/22531761"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2012.2195012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2195012","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/A5011012040","display_name":"Ee Sin Ng","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ee Sin Ng","raw_affiliation_strings":["Department of Engineering, Signal Processing and Communications Laboratory, University of Cambridge, Cambridge, UK","Dept of Engineering, University of Cambridge, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Signal Processing and Communications Laboratory, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Dept of Engineering, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110202838","display_name":"N. Kingsbury","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"N. G. Kingsbury","raw_affiliation_strings":["Department of Engineering, Signal Processing and Communications Laboratory, University of Cambridge, Cambridge, UK","Dept of Engineering, University of Cambridge, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Signal Processing and Communications Laboratory, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Dept of Engineering, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":1.6342,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84819888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"8","first_page":"3429","last_page":"3442"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9970999956130981,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9937999844551086,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.7311009764671326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6605990529060364},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6220192909240723},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6194939613342285},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5884494781494141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.569398820400238},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5324880480766296},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.49849796295166016},{"id":"https://openalex.org/keywords/complex-wavelet-transform","display_name":"Complex wavelet transform","score":0.4823848307132721},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4134318232536316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37595656514167786},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32464906573295593},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28203803300857544},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12523797154426575},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.12140542268753052}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7311009764671326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6605990529060364},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6220192909240723},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6194939613342285},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5884494781494141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.569398820400238},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5324880480766296},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.49849796295166016},{"id":"https://openalex.org/C2777885455","wikidata":"https://www.wikidata.org/wiki/Q5156615","display_name":"Complex wavelet transform","level":5,"score":0.4823848307132721},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4134318232536316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37595656514167786},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32464906573295593},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28203803300857544},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12523797154426575},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.12140542268753052},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":"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},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2012.2195012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2195012","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:22531761","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22531761","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:CiteSeerX.psu:10.1.1.298.6829","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.6829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-sigproc.eng.cam.ac.uk/~ngk/publications/NgES_IEEE_TIP_Aug12.pdf","raw_type":"text"},{"id":"pmh:oai:generic.eprints.org:455733","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/455733/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5021681672","display_name":"Centre for Sustainable Road Freight Transport","funder_award_id":"EP/K00915X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6417957806","display_name":null,"funder_award_id":"EP/K00915X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1495971627","https://openalex.org/W1505641881","https://openalex.org/W1514975643","https://openalex.org/W1548836129","https://openalex.org/W1744214816","https://openalex.org/W1972278541","https://openalex.org/W1980911747","https://openalex.org/W1992904973","https://openalex.org/W2018332268","https://openalex.org/W2025678736","https://openalex.org/W2029342114","https://openalex.org/W2054077254","https://openalex.org/W2054511520","https://openalex.org/W2057175746","https://openalex.org/W2067191022","https://openalex.org/W2080495424","https://openalex.org/W2085261163","https://openalex.org/W2104049184","https://openalex.org/W2108182844","https://openalex.org/W2109200236","https://openalex.org/W2109294083","https://openalex.org/W2117612778","https://openalex.org/W2120954940","https://openalex.org/W2124386111","https://openalex.org/W2124465992","https://openalex.org/W2129112513","https://openalex.org/W2129276048","https://openalex.org/W2131693260","https://openalex.org/W2146307402","https://openalex.org/W2151103935","https://openalex.org/W2157084238","https://openalex.org/W2157629193","https://openalex.org/W2157716919","https://openalex.org/W2158256890","https://openalex.org/W2159537329","https://openalex.org/W2162551958","https://openalex.org/W2165731615","https://openalex.org/W2166820607","https://openalex.org/W2168002178","https://openalex.org/W2171490473","https://openalex.org/W2177274842","https://openalex.org/W2180187800","https://openalex.org/W2533007775","https://openalex.org/W6675290676","https://openalex.org/W6682759379"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2547029902","https://openalex.org/W2077021924","https://openalex.org/W1517207589","https://openalex.org/W2205192157","https://openalex.org/W2158530844","https://openalex.org/W2158757538","https://openalex.org/W2147252176"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,69],"matching":[3,141],"framework":[4,156,168],"to":[5,91,106,126,184],"find":[6],"robust":[7,173],"correspondences":[8,64,74,88,174],"between":[9,17,34],"image":[10],"features":[11,47,147],"by":[12,78],"considering":[13],"the":[14,27,44,83,130,155,158,166],"spatial":[15,24,51,97,160],"information":[16],"them.":[18],"To":[19],"achieve":[20,107],"this,":[21],"we":[22],"define":[23],"constraints":[25,52,98],"on":[26,49],"relative":[28],"orientation":[29],"and":[30,109,114,179],"change":[31],"in":[32,68,82,99],"scale":[33,113],"pairs":[35,61],"of":[36,46,62,112,142,171],"features.":[37],"A":[38],"pairwise":[39,56],"similarity":[40,45,57,71,84],"score":[41],"which":[42,135],"measures":[43],"based":[48],"these":[50,121],"is":[53,104,119,148,169],"considered.":[54],"The":[55],"scores":[58],"for":[59,80],"all":[60],"candidate":[63],"are":[65,89],"then":[66],"accumulated":[67],"2D":[70],"space.":[72,101],"Robust":[73],"can":[75],"be":[76,127],"found":[77],"searching":[79],"clusters":[81,93],"space,":[85],"since":[86,150],"actual":[87],"expected":[90],"form":[92],"that":[94,120,165],"satisfy":[95],"similar":[96],"this":[100],"As":[102],"it":[103,151],"difficult":[105],"reliable":[108],"consistent":[110],"estimates":[111],"orientation,":[115],"an":[116],"additional":[117],"contribution":[118],"parameters":[122],"do":[123],"not":[124],"need":[125],"determined":[128],"at":[129],"interest":[131],"point":[132],"detection":[133],"stage,":[134],"differs":[136],"from":[137],"conventional":[138],"methods.":[139],"Polar":[140],"dual-tree":[143],"complex":[144],"wavelet":[145],"transform":[146],"used,":[149],"fits":[152],"naturally":[153],"into":[154],"with":[157,175],"defined":[159],"constraints.":[161],"Our":[162],"tests":[163],"show":[164],"proposed":[167],"capable":[170],"producing":[172],"higher":[176],"correspondence":[177],"ratios":[178],"reasonable":[180],"computational":[181],"efficiency,":[182],"compared":[183],"other":[185],"well-known":[186],"algorithms.":[187]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}