{"id":"https://openalex.org/W2667463771","doi":"https://doi.org/10.1109/icassp.2017.7952478","title":"A novel LBP-based Color descriptor for face recognition","display_name":"A novel LBP-based Color descriptor for face recognition","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2667463771","doi":"https://doi.org/10.1109/icassp.2017.7952478","mag":"2667463771"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5009487639","display_name":"Ze Lu","orcid":"https://orcid.org/0000-0002-0522-0294"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Ze Lu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085533260","display_name":"Xudong Jiang","orcid":"https://orcid.org/0000-0002-9104-2315"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xudong Jiang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080977911","display_name":"Alex C. Kot","orcid":"https://orcid.org/0000-0001-6262-8125"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Alex Kot","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009487639"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.6384,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.90518025,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1857","last_page":"1861"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9907000064849854,"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":0.9904999732971191,"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/local-binary-patterns","display_name":"Local binary patterns","score":0.8027626276016235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7993800640106201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6980217695236206},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6611883044242859},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6598445177078247},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6265656352043152},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6082148551940918},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5936780571937561},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5843119621276855},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5807252526283264},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5641465187072754},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4898647964000702},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4625968039035797},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4284828007221222},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.20370367169380188},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16392064094543457}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.8027626276016235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7993800640106201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6980217695236206},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6611883044242859},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6598445177078247},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6265656352043152},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6082148551940918},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5936780571937561},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5843119621276855},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5807252526283264},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5641465187072754},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4898647964000702},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4625968039035797},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4284828007221222},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.20370367169380188},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16392064094543457},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1782590233","https://openalex.org/W1975815261","https://openalex.org/W1988805924","https://openalex.org/W1991385629","https://openalex.org/W1998808035","https://openalex.org/W2003685903","https://openalex.org/W2033419168","https://openalex.org/W2037299049","https://openalex.org/W2052446636","https://openalex.org/W2096813265","https://openalex.org/W2101351019","https://openalex.org/W2112724657","https://openalex.org/W2114588272","https://openalex.org/W2123284096","https://openalex.org/W2137659841","https://openalex.org/W2154189032","https://openalex.org/W2160164899","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2167601730","https://openalex.org/W2225422778","https://openalex.org/W2402848971","https://openalex.org/W2550037317"],"related_works":["https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W4378714697","https://openalex.org/W1581723585","https://openalex.org/W2294330161","https://openalex.org/W2804553224","https://openalex.org/W2253069048","https://openalex.org/W140709781","https://openalex.org/W2940472653","https://openalex.org/W2920803707"],"abstract_inverted_index":{"LBP-based":[0,91],"color":[1,8,29,66,92,130],"features":[2],"have":[3],"shown":[4],"excellent":[5],"performance":[6,147],"for":[7,132],"face":[9,111,133,145],"recognition":[10,146],"tasks,":[11],"such":[12],"as":[13,37],"Color":[14,113,149],"LBP,":[15,150],"CLBP":[16,151],"and":[17,104,118,152],"LCVBP.":[18],"However,":[19],"existing":[20,85],"methods":[21],"encode":[22,98],"the":[23,33,41,60,99,124,127,138,156],"inter-channel":[24,57,100],"information":[25,101],"on":[26,108],"pairs":[27],"of":[28,62,84,126],"channels":[30,67],"by":[31],"applying":[32],"same":[34],"spatial":[35],"structure":[36],"that":[38,137],"used":[39],"in":[40,46,55],"intra-channel":[42],"encoding.":[43],"This":[44],"results":[45],"a":[47,71,89],"very":[48],"high":[49],"dimensional":[50],"feature":[51,131],"vector":[52],"yet":[53],"ineffective":[54],"encoding":[56],"information.":[58],"Moreover,":[59],"difference":[61],"pixel":[63],"values":[64],"across":[65],"may":[68],"not":[69,77],"be":[70],"proper":[72],"measure":[73],"if":[74],"they":[75],"are":[76,120],"quantitatively":[78],"comparable.":[79],"To":[80],"tackle":[81],"these":[82],"problems":[83],"methods,":[86],"we":[87],"propose":[88],"novel":[90],"feature,":[93],"Ternary-Color":[94],"LBP":[95],"(TCLBP),":[96],"to":[97,122,142],"more":[102],"effectively":[103],"efficiently.":[105],"Extensive":[106],"experiments":[107],"4":[109,157],"public":[110],"databases,":[112],"FERET,":[114],"Georgia":[115],"Tech,":[116],"FRGC":[117],"LFW,":[119],"conducted":[121],"verify":[123],"effectiveness":[125],"proposed":[128,139],"TCLBP":[129,140],"recognition.":[134],"Results":[135],"show":[136],"leads":[141],"visibly":[143],"better":[144],"than":[148],"LCVBP":[153],"consistently":[154],"over":[155],"databases.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}