{"id":"https://openalex.org/W2073776449","doi":"https://doi.org/10.5244/c.21.23","title":"Colour Transfer by Feature Based Histogram Registration","display_name":"Colour Transfer by Feature Based Histogram Registration","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2073776449","doi":"https://doi.org/10.5244/c.21.23","mag":"2073776449"},"language":"en","primary_location":{"id":"doi:10.5244/c.21.23","doi":"https://doi.org/10.5244/c.21.23","is_oa":false,"landing_page_url":"https://doi.org/10.5244/c.21.23","pdf_url":null,"source":{"id":"https://openalex.org/S7407088578","display_name":"British Machine Vision Conference (BMVC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedings of the British Machine Vision Conference 2007","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5075483723","display_name":"C. R. Senanayake","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"C. R. Senanayake","raw_affiliation_strings":["University college London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University college London","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033449704","display_name":"Daniel C. Alexander","orcid":"https://orcid.org/0000-0003-2439-350X","observed_orcids":["https://orcid.org/0000-0003-2439-350X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. C. Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0944,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.7610045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"23.1","last_page":"23.10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.6333000063896179,"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/T11019","display_name":"Image Enhancement Techniques","score":0.6333000063896179,"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/T11666","display_name":"Color Science and Applications","score":0.16439999639987946,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"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":0.06210000067949295,"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/color-transfer","display_name":"color transfer","score":0.9929999709129333},{"id":"https://openalex.org/keywords/feature-based-registration","display_name":"feature-based registration","score":0.9380000233650208},{"id":"https://openalex.org/keywords/scale-space","display_name":"scale space","score":0.7519999742507935},{"id":"https://openalex.org/keywords/illumination-variation","display_name":"illumination variation","score":0.6119999885559082},{"id":"https://openalex.org/keywords/object-scale-variation","display_name":"object scale variation","score":0.8220000267028809}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.885941207408905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7605059742927551},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6496606469154358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62856525182724},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6228722333908081},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.6114054918289185},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5904014706611633},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5112206935882568},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46040570735931396},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.448991984128952},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4463478922843933},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41548609733581543},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09025686979293823},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.5244/c.21.23","doi":"https://doi.org/10.5244/c.21.23","is_oa":false,"landing_page_url":"https://doi.org/10.5244/c.21.23","pdf_url":null,"source":{"id":"https://openalex.org/S7407088578","display_name":"British Machine Vision Conference (BMVC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedings of the British Machine Vision Conference 2007","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.103.7958","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.7958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dcs.warwick.ac.uk/bmvc2007/proceedings/CD-ROM/papers/paper-171.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.421.943","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.bmva.org/bmvc/2007/papers/paper-171.pdf","raw_type":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:171713","doi":null,"is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/171713/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: (2007)","raw_type":"Proceedings paper"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1587155922","https://openalex.org/W2000158116","https://openalex.org/W2072171003","https://openalex.org/W2112328181","https://openalex.org/W2124135575","https://openalex.org/W2129112648","https://openalex.org/W2131221756","https://openalex.org/W2141015396","https://openalex.org/W2147831195"],"related_works":["https://openalex.org/W166690725","https://openalex.org/W2096268042","https://openalex.org/W1986431671","https://openalex.org/W1544979282","https://openalex.org/W2189514996","https://openalex.org/W7019724233","https://openalex.org/W1515935836","https://openalex.org/W2129862905","https://openalex.org/W1828220490","https://openalex.org/W2533139314"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,30,36,41,44,56,67,72,77,84,111],"problem":[4],"of":[5,29,69,94,121],"automatically":[6],"eliminating":[7],"unwanted":[8],"colour":[9,23,45,115],"variation":[10,99],"between":[11,80],"similar":[12],"image":[13,31,95],"pairs.":[14],"We":[15,39,90],"propose":[16],"a":[17,87,92],"feature-based":[18],"registration":[19],"method":[20,42,112],"to":[21,63,108],"align":[22],"histograms":[24,85],"without":[25],"any":[26],"spatial":[27],"processing":[28],"content":[32],"or":[33],"assumptions":[34],"about":[35],"scene":[37],"contents.":[38],"use":[40,106],"for":[43],"transfer":[46],"problem.":[47],"The":[48,74],"features":[49,81],"are":[50,61],"histogram":[51,122],"maxima":[52],"that":[53,97,110],"persist":[54],"through":[55],"scale":[57,102],"space,":[58],"so":[59],"they":[60],"robust":[62],"large":[64],"changes":[65],"in":[66,71,100],"sizes":[68],"objects":[70],"scene.":[73],"algorithm":[75],"seeks":[76],"best":[78],"matches":[79],"and":[82,103,105],"aligns":[83],"via":[86],"polynomial":[88],"warp.":[89],"construct":[91],"set":[93],"pairs":[96],"exhibit":[98],"object":[101],"lighting":[104],"it":[107],"show":[109],"produces":[113],"better":[114],"space":[116],"alignments":[117,120],"than":[118],"simple":[119],"moments.":[123],"1":[124]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2016-06-24T00:00:00"}