{"id":"https://openalex.org/W2117767239","doi":"https://doi.org/10.2352/cic.2003.11.1.art00019","title":"Using Colour to Model Outliers","display_name":"Using Colour to Model Outliers","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2117767239","doi":"https://doi.org/10.2352/cic.2003.11.1.art00019","mag":"2117767239"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2003.11.1.art00019","is_oa":true,"landing_page_url":"https://doi.org/10.2352/cic.2003.11.1.art00019","pdf_url":"https://library.imaging.org/cic/articles/11/1/art00019","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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/cic/articles/11/1/art00019","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101830882","display_name":"David Hasler","orcid":"https://orcid.org/0000-0002-8278-1781"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"David Hasler","raw_affiliation_strings":["GretagMacbeth, Steinfurt, Germany"],"affiliations":[{"raw_affiliation_string":"GretagMacbeth, Steinfurt, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078201467","display_name":"Sabine S\u00fcsstrunk","orcid":"https://orcid.org/0000-0002-0441-6068"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Sabine S\u00fcsstrunk","raw_affiliation_strings":["Audiovisual Communications Laboratory Swiss Federal Institute of Technology (EPFL) Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Audiovisual Communications Laboratory Swiss Federal Institute of Technology (EPFL) Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101830882"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18183123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":"1","first_page":"107","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9833999872207642,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9833999872207642,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9706000089645386,"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/outlier","display_name":"Outlier","score":0.809217095375061},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7300037145614624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6847840547561646},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6785235404968262},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6589826345443726},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6516707539558411},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5872652530670166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5816723108291626},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5584290623664856},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5461335182189941},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34894537925720215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18047815561294556}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.809217095375061},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7300037145614624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6847840547561646},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6785235404968262},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6589826345443726},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6516707539558411},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5872652530670166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5816723108291626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5584290623664856},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5461335182189941},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34894537925720215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18047815561294556},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.2352/cic.2003.11.1.art00019","is_oa":true,"landing_page_url":"https://doi.org/10.2352/cic.2003.11.1.art00019","pdf_url":"https://library.imaging.org/cic/articles/11/1/art00019","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"},{"id":"pmh:oai:infoscience.tind.io:50209","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/213949","pdf_url":"http://infoscience.epfl.ch/record/50209","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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":null,"raw_type":"conference proceedings"},{"id":"pmh:oai:infoscience.epfl.ch:50209","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/50209","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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":"Text"}],"best_oa_location":{"id":"doi:10.2352/cic.2003.11.1.art00019","is_oa":true,"landing_page_url":"https://doi.org/10.2352/cic.2003.11.1.art00019","pdf_url":"https://library.imaging.org/cic/articles/11/1/art00019","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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2117767239.pdf","grobid_xml":"https://content.openalex.org/works/W2117767239.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W191167826","https://openalex.org/W306662213","https://openalex.org/W1543628124","https://openalex.org/W1579271636","https://openalex.org/W2018944012","https://openalex.org/W2096204758","https://openalex.org/W2097230714","https://openalex.org/W2097332394","https://openalex.org/W2124526114","https://openalex.org/W2129249398","https://openalex.org/W2129899052","https://openalex.org/W2131386671","https://openalex.org/W2139643804","https://openalex.org/W2141348467","https://openalex.org/W2162261213","https://openalex.org/W2168602559","https://openalex.org/W2168951963","https://openalex.org/W2498388196","https://openalex.org/W2498631646","https://openalex.org/W6684449936","https://openalex.org/W6685137139"],"related_works":["https://openalex.org/W2953058328","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2750730210","https://openalex.org/W2116854923","https://openalex.org/W2236974868","https://openalex.org/W2952127465","https://openalex.org/W2037514533","https://openalex.org/W2164628286","https://openalex.org/W2028276520"],"abstract_inverted_index":{"Computer":[0],"vision":[1],"applications":[2],"are":[3,19,52,76,308],"able":[4],"to":[5,32,60,67,195,281],"model":[6,34,40,66,176,213,224],"and":[7,35,79,156,197,294],"reconstruct":[8],"three":[9],"dimensional":[10],"scenes":[11],"from":[12],"several":[13],"pictures.":[14],"In":[15,139],"this":[16,140,171,288],"work,":[17,141],"we":[18,142,232,307],"interested":[20],"in":[21,109,116,186],"the":[22,33,42,45,54,58,61,65,69,74,99,113,119,132,137,144,161,166,204,212,247,255,274,284,291,296,304],"group":[23],"of":[24,41,49,57,112,118,134,136,203,211,236,257,287],"algorithm":[25],"that":[26,94,170,246,263,283],"register":[27],"each":[28],"image":[29,59,111,205],"with":[30,198],"respect":[31],"aim":[36],"at":[37,152],"constructing":[38],"a":[39,127,153,181,192,201,228,237,240],"scene.":[43],"At":[44],"lowest":[46],"level,":[47],"most":[48],"these":[50],"algorithms":[51],"comparing":[53],"pixel":[55,154],"values":[56],"ones":[62],"predicted":[63,252],"by":[64,98,147,253,264],"refine":[68],"result.":[70],"As":[71],"research":[72],"advances,":[73],"models":[75],"getting":[77],"better":[78],"better,":[80],"but":[81,115,270],"no":[82],"matter":[83],"how":[84,157],"complex":[85],"they":[86],"are,":[87],"there":[88],"will":[89,164],"always":[90],"be":[91,96,207,216,251,302],"unpredictable":[92],"situations":[93],"cannot":[95],"handled":[97],"model.":[100],"A":[101],"recurring":[102],"example":[103,230,244],"is":[104,177,225,290],"when":[105,126],"an":[106,149],"object":[107,151,173],"appears":[108],"one":[110],"set,":[114],"none":[117],"others.":[120],"The":[121,243],"situation":[122],"occurs,":[123],"for":[124,183],"example,":[125],"moving":[128],"entity":[129],"crosses":[130],"rapidly":[131],"field":[133],"view":[135],"camera.":[138,242],"study":[143],"error":[145,168],"generated":[146],"such":[148],"unexpected":[150],"level":[155],"colour":[158,272],"can":[159,206,250],"improve":[160],"estimation.":[162],"We":[163,260,279],"derive":[165],"expected":[167],"distribution":[169,249],"hypothetical":[172],"may":[174],"cause.Our":[175],"primarily":[178],"intended":[179],"as":[180,209],"basis":[182],"outlier":[184,248,275,292,297],"removal":[185],"scene":[187,238],"modelling":[188,293],"algorithms.":[189],"It":[190],"gives":[191],"clear":[193],"answer":[194],"whether,":[196],"which":[199,300],"confidence,":[200],"part":[202,210,286],"considered":[208],"or":[214],"should":[215],"discarded,":[217],"without":[218],"using":[219,239,254],"any":[220],"dedicated":[221],"thresholding":[222],"scheme.The":[223],"demonstrated":[226],"on":[227],"trivial":[229,305],"where":[231],"match":[233],"two":[234],"images":[235],"static":[241],"shows":[245],"histograms":[256],"both":[258],"images.":[259],"also":[261,271],"show":[262],"considering":[265],"not":[266,295],"only":[267],"greyscale":[268],"information,":[269,273],"detection":[276],"performance":[277],"improves.":[278],"want":[280],"emphasise":[282],"central":[285],"paper":[289],"rejection":[298],"scheme,":[299],"could":[301],"solved&#x2014;for":[303],"examples":[306],"showing&#x2014;by":[309],"many":[310],"other":[311],"techniques.":[312]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
