{"id":"https://openalex.org/W2545349559","doi":"https://doi.org/10.1109/acpr.2011.6166684","title":"Adaptive Patch Alignment Based Local Binary Patterns for face recognition","display_name":"Adaptive Patch Alignment Based Local Binary Patterns for face recognition","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2545349559","doi":"https://doi.org/10.1109/acpr.2011.6166684","mag":"2545349559"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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/A5101506786","display_name":"Yuelong Li","orcid":"https://orcid.org/0000-0001-9927-8691"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuelong Li","raw_affiliation_strings":["Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100517948","display_name":"Jufu Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jufu Feng","raw_affiliation_strings":["Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.33823287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"269","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T11448","display_name":"Face recognition and analysis","score":0.9927999973297119,"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":0.9085826873779297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7584707736968994},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7455867528915405},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7435324192047119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7321845293045044},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7102241516113281},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.685125470161438},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.6641222238540649},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6576200127601624},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.4804255962371826},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4561121463775635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3368021249771118},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.3041502833366394},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.1924881935119629}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.9085826873779297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7584707736968994},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7455867528915405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7435324192047119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7321845293045044},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7102241516113281},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.685125470161438},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.6641222238540649},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6576200127601624},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.4804255962371826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4561121463775635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3368021249771118},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3041502833366394},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.1924881935119629},{"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/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2011.6166684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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":11,"referenced_works":["https://openalex.org/W1508960934","https://openalex.org/W1545641654","https://openalex.org/W1996765463","https://openalex.org/W2033419168","https://openalex.org/W2035379092","https://openalex.org/W2118774738","https://openalex.org/W2137385871","https://openalex.org/W2147945459","https://openalex.org/W2163352848","https://openalex.org/W4233204037","https://openalex.org/W6632636493"],"related_works":["https://openalex.org/W1999808563","https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W4387163326","https://openalex.org/W2040482211","https://openalex.org/W2185537520","https://openalex.org/W325114128","https://openalex.org/W2336272890","https://openalex.org/W4312238398","https://openalex.org/W4308999963"],"abstract_inverted_index":{"This":[0],"paper":[1,73],"introduces":[2],"a":[3,97,109],"novel":[4,110],"face":[5,27,38,51,105],"recognition":[6,59,119,124],"method":[7],"based":[8],"on":[9,37,91],"Adaptive":[10],"Patch":[11],"Alignment":[12],"Based":[13],"Local":[14],"Binary":[15],"Patterns":[16],"(APALBP).":[17],"LBP":[18,42,85],"is":[19,43,62],"one":[20],"of":[21,32,71,130],"the":[22,30,58,128],"most":[23],"effective":[24],"features":[25],"to":[26,100,117,126],"recognition.":[28],"However,":[29],"effectiveness":[31,129],"this":[33,72],"feature":[34,48,86,111],"greatly":[35],"relies":[36],"alignment,":[39],"i.e.,":[40],"since":[41],"in":[44,104],"fact":[45],"an":[46,78],"image":[47],"rather":[49],"than":[50,66],"feature,":[52],"pose":[53],"difference":[54],"will":[55],"directly":[56,89],"influence":[57],"performance.":[60],"APALBP":[61],"much":[63],"more":[64],"robust":[65],"original":[67],"LBP.":[68],"The":[69],"novelty":[70],"comes":[74],"from":[75],"1)":[76],"enrolling":[77],"adaptive":[79],"patch":[80],"alignment":[81],"method,":[82],"so":[83],"that":[84],"can":[87],"be":[88,115],"applied":[90],"unaligned":[92],"images;":[93],"2)":[94],"putting":[95],"forward":[96],"new":[98],"solution":[99],"small":[101],"sample":[102],"problems":[103],"recognition;":[106],"3)":[107],"introducing":[108],"extraction":[112],"which":[113],"could":[114],"extended":[116],"general":[118],"problems.":[120],"We":[121],"present":[122],"improved":[123],"results":[125],"demonstrate":[127],"our":[131],"approach.":[132]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}