{"id":"https://openalex.org/W2161781780","doi":"https://doi.org/10.1109/cvprw.2009.5204297","title":"On conversion from color to gray-scale images for face detection","display_name":"On conversion from color to gray-scale images for face detection","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2161781780","doi":"https://doi.org/10.1109/cvprw.2009.5204297","mag":"2161781780"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2009.5204297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204297","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},"type":"article","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/A5102448190","display_name":"Juwei Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Juwei Lu","raw_affiliation_strings":["Vidient Systems, Inc., Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Vidient Systems, Inc., Santa Clara, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059152392","display_name":"Konstantinos N. Plataniotis","orcid":"https://orcid.org/0000-0003-3647-5473"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"K.N. Plataniotis","raw_affiliation_strings":["The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102448190"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3706,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.68367347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"114","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980999827384949,"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/T10057","display_name":"Face and Expression Recognition","score":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965000152587891,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.989300012588501,"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":0.7672492265701294},{"id":"https://openalex.org/keywords/ntsc","display_name":"NTSC","score":0.7312565445899963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6996785998344421},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.692528247833252},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6858807802200317},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6747139096260071},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6249158382415771},{"id":"https://openalex.org/keywords/monochrome","display_name":"Monochrome","score":0.6132356524467468},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6055956482887268},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.5459195971488953},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4547535479068756},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.45371636748313904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40306103229522705},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.2441214919090271},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21788161993026733}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7672492265701294},{"id":"https://openalex.org/C152622121","wikidata":"https://www.wikidata.org/wiki/Q185796","display_name":"NTSC","level":3,"score":0.7312565445899963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6996785998344421},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.692528247833252},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6858807802200317},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6747139096260071},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6249158382415771},{"id":"https://openalex.org/C2776754580","wikidata":"https://www.wikidata.org/wiki/Q10770146","display_name":"Monochrome","level":2,"score":0.6132356524467468},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6055956482887268},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.5459195971488953},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4547535479068756},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.45371636748313904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40306103229522705},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2441214919090271},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21788161993026733},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2778129506","wikidata":"https://www.wikidata.org/wiki/Q133454","display_name":"High-definition television","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2009.5204297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204297","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W17090651","https://openalex.org/W1587950272","https://openalex.org/W1988790447","https://openalex.org/W2024046085","https://openalex.org/W2073105997","https://openalex.org/W2078088780","https://openalex.org/W2104479907","https://openalex.org/W2140274257","https://openalex.org/W2143304877","https://openalex.org/W2153609534","https://openalex.org/W2153746365","https://openalex.org/W2155178156","https://openalex.org/W2160367227","https://openalex.org/W2217896605","https://openalex.org/W2240792323","https://openalex.org/W3097096317","https://openalex.org/W6675580882"],"related_works":["https://openalex.org/W2096042813","https://openalex.org/W1993261271","https://openalex.org/W1877595604","https://openalex.org/W1970925716","https://openalex.org/W4327774107","https://openalex.org/W1017149716","https://openalex.org/W2784064218","https://openalex.org/W2047758967","https://openalex.org/W2242267494","https://openalex.org/W2469110227"],"abstract_inverted_index":{"The":[0],"paper":[1],"presents":[2],"a":[3,12,29,142],"study":[4],"on":[5,63,106],"color":[6,147],"to":[7,60,84,94,112,145,148,156],"gray":[8,149],"image":[9],"conversion":[10,44],"from":[11],"novel":[13],"point":[14],"of":[15,23,91,170],"view:":[16],"face":[17,49,74,135,162],"detection.":[18],"To":[19],"the":[20,24,41,56,78,89,92,98,101,107,113,117,121,132,139,146],"best":[21,57,122],"knowledge":[22],"authors,":[25],"research":[26],"in":[27,174],"such":[28],"specific":[30],"topic":[31],"has":[32,103],"not":[33,46],"been":[34],"conducted":[35],"before.":[36],"Our":[37],"work":[38,140],"reveals":[39],"that":[40,77],"standard":[42,114],"NTSC":[43,115],"is":[45,67,126],"optimal":[47],"for":[48,58,131,165],"detection":[50,75,136,163],"tasks,":[51],"although":[52],"it":[53],"may":[54,81],"be":[55,153,157],"use":[59],"display":[61],"pictures":[62],"monochrome":[64],"televisions.":[65],"It":[66,151],"further":[68],"found":[69,123],"experimentally":[70],"with":[71,120],"two":[72,133],"AdaBoost-based":[73],"systems":[76,164],"detect":[79,118],"rates":[80],"vary":[82],"up":[83],"10%":[85],"by":[86],"simply":[87],"changing":[88],"parameters":[90],"RGB":[93],"Gray":[95],"conversion.":[96,150],"On":[97],"other":[99],"hand,":[100],"change":[102],"little":[104],"influence":[105],"false":[108],"positive":[109],"rates.":[110],"Compared":[111],"conversion,":[116],"rate":[119],"parameter":[124],"setting":[125],"2.85%":[127],"and":[128],"3.58%":[129],"higher":[130],"evaluated":[134],"systems.":[137],"Promisingly,":[138],"suggests":[141],"new":[143],"solution":[144],"could":[152],"extremely":[154],"easy":[155],"incorporated":[158],"into":[159],"most":[160],"existing":[161],"accuracy":[166],"improvement":[167],"without":[168],"introduction":[169],"any":[171],"extra":[172],"cost":[173],"computational":[175],"complexity.":[176]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
