{"id":"https://openalex.org/W4377996046","doi":"https://doi.org/10.2352/cic.2012.20.1.art00023","title":"Optimization of Sparse Color Correspondences for Color Mapping","display_name":"Optimization of Sparse Color Correspondences for Color Mapping","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W4377996046","doi":"https://doi.org/10.2352/cic.2012.20.1.art00023"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2012.20.1.art00023","is_oa":false,"landing_page_url":"https://doi.org/10.2352/cic.2012.20.1.art00023","pdf_url":null,"source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"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/A5110250595","display_name":"Sheikh Faridul Hasan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheikh Faridul Hasan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000804809","display_name":"Jurgen Stauder","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jurgen Stauder","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5041689611","display_name":"Alain Tr\u00e9meau","orcid":"https://orcid.org/0000-0003-2826-7519"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alain Tremeau","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"1","first_page":"128","last_page":"134"},"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":0.992900013923645,"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":0.992900013923645,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9835000038146973,"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":0.9728000164031982,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7551290988922119},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6340336203575134},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.6241257190704346},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6161277294158936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6136289238929749},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5862244367599487},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5583813190460205},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5308804512023926},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4486607611179352},{"id":"https://openalex.org/keywords/color-difference","display_name":"Color difference","score":0.42973387241363525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32803481817245483},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.30442139506340027},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16842344403266907},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10255470871925354},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05725792050361633}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7551290988922119},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6340336203575134},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.6241257190704346},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6161277294158936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6136289238929749},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5862244367599487},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5583813190460205},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5308804512023926},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4486607611179352},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.42973387241363525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32803481817245483},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30442139506340027},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16842344403266907},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10255470871925354},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05725792050361633},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.2012.20.1.art00023","is_oa":false,"landing_page_url":"https://doi.org/10.2352/cic.2012.20.1.art00023","pdf_url":null,"source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1988273473","https://openalex.org/W2511081116","https://openalex.org/W4241886099","https://openalex.org/W4376527648","https://openalex.org/W1495431121","https://openalex.org/W2109245250","https://openalex.org/W1984138187","https://openalex.org/W1992936402","https://openalex.org/W2086839708","https://openalex.org/W2351747962"],"abstract_inverted_index":{"This":[0],"article":[1],"addresses":[2],"the":[3,26,29,36,59,62,109,118,129,137,141,145,169,191],"problem":[4],"of":[5,12,55,147,164,171,176,179],"finding":[6],"corresponding":[7,41,120],"colors":[8,75],"between":[9,140],"multiple":[10],"views":[11],"a":[13,124,153],"same":[14],"scene":[15],"in":[16,35,53,102,152,174],"order":[17],"to":[18,38,72,107,116,135,187],"compensate":[19,136],"color":[20,23,63,78,125,130,138,149,172],"differences":[21,139],"by":[22],"mapping.":[24],"Both,":[25],"dense":[27,84],"and":[28,50,61,95],"sparse":[30,56,113],"feature":[31,57,85,114],"matching":[32,86,115],"are":[33,66,80],"studied":[34],"literature":[37],"achieve":[39],"those":[40],"colors.":[42,121],"However":[43],"both":[44],"methods":[45,151,189],"suffer":[46],"from":[47,128,190],"spatial":[48,60,110],"precision":[49,170],"occlusion.":[51],"Moreover,":[52],"case":[54],"matching,":[58],"space":[64],"coverage":[65],"low.":[67],"Therefore,":[68,101],"it":[69,91],"is":[70,133],"difficult":[71],"generalize":[73],"for":[74],"where":[76],"direct":[77],"correspondences":[79,131],"not":[81],"known.":[82],"Though":[83],"may":[87,96],"address":[88],"this":[89,103],"problem,":[90],"needs":[92],"computational":[93],"effort":[94],"introduce":[97],"additional":[98],"occlusion":[99],"errors.":[100],"work,":[104],"we":[105,160],"propose":[106],"consider":[108],"neighborhood":[111,165],"around":[112],"select":[117],"“stable”":[119],"We":[122,143],"estimate":[123],"mapping":[126,150,173],"model":[127],"which":[132],"able":[134],"views.":[142],"compared":[144,186],"quality":[146],"several":[148],"performance":[154,185],"evaluation":[155],"framework.":[156],"From":[157],"experimental":[158],"results,":[159],"found":[161],"that":[162],"consideration":[163],"can":[166],"significantly":[167],"increase":[168],"spite":[175],"increasing":[177],"uncertainty":[178],"correspondence.":[180],"Benchmark":[181],"tests":[182],"show":[183],"good":[184],"recent":[188],"literature.":[192]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}