{"id":"https://openalex.org/W2080599055","doi":"https://doi.org/10.1117/12.2042506","title":"Robust human face recognition based on locality preserving sparse over complete block approximation","display_name":"Robust human face recognition based on locality preserving sparse over complete block approximation","publication_year":2014,"publication_date":"2014-02-18","ids":{"openalex":"https://openalex.org/W2080599055","doi":"https://doi.org/10.1117/12.2042506","mag":"2080599055"},"language":"en","primary_location":{"id":"doi:10.1117/12.2042506","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2042506","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-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/A5002437842","display_name":"Dimche Kostadinov","orcid":"https://orcid.org/0009-0001-9000-2370"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dimche Kostadinov","raw_affiliation_strings":["Univ. of Geneva (Switzerland)","#N##TAB##TAB##TAB##TAB# University of Geneva, Switzerland#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Geneva (Switzerland)","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# University of Geneva, Switzerland#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091506990","display_name":"Slava Voloshynovskiy","orcid":"https://orcid.org/0000-0003-0416-9674"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Svyatoslav Voloshynovskiy","raw_affiliation_strings":["Univ. of Geneva (Switzerland)","#N##TAB##TAB##TAB##TAB# University of Geneva, Switzerland#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Geneva (Switzerland)","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# University of Geneva, Switzerland#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062194509","display_name":"Sohrab Ferdowsi","orcid":"https://orcid.org/0000-0003-3768-6408"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Sohrab Ferdowsi","raw_affiliation_strings":["Univ. of Geneva (Switzerland)","#N##TAB##TAB##TAB##TAB# University of Geneva, Switzerland#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Geneva (Switzerland)","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# University of Geneva, Switzerland#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114457229"],"apc_list":null,"apc_paid":null,"fwci":0.5391,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63940899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9028","issue":null,"first_page":"902809","last_page":"902809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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":0.9890999794006348,"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/sparse-approximation","display_name":"Sparse approximation","score":0.669204831123352},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6224669218063354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6188071966171265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6152303218841553},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5795361399650574},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5743646621704102},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5707454085350037},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5482289791107178},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5287941098213196},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4983203411102295},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.44073039293289185},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.42565980553627014},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3427940905094147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.324846088886261}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.669204831123352},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6224669218063354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6188071966171265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6152303218841553},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5795361399650574},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5743646621704102},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5707454085350037},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5482289791107178},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5287941098213196},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4983203411102295},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.44073039293289185},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.42565980553627014},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3427940905094147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.324846088886261},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2042506","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2042506","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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":24,"referenced_works":["https://openalex.org/W180242331","https://openalex.org/W1808256548","https://openalex.org/W1971258090","https://openalex.org/W2027922120","https://openalex.org/W2047379012","https://openalex.org/W2050551672","https://openalex.org/W2070127246","https://openalex.org/W2080296254","https://openalex.org/W2083436148","https://openalex.org/W2098693229","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2122111042","https://openalex.org/W2123921160","https://openalex.org/W2129812935","https://openalex.org/W2135046866","https://openalex.org/W2184852195","https://openalex.org/W4213372157","https://openalex.org/W6657532822","https://openalex.org/W6662814655","https://openalex.org/W6674764012","https://openalex.org/W6677524102","https://openalex.org/W6680156768","https://openalex.org/W6686418764"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W2998105788","https://openalex.org/W4205656132","https://openalex.org/W2111634407","https://openalex.org/W3004790527","https://openalex.org/W2203155458","https://openalex.org/W2353047565","https://openalex.org/W2783282829","https://openalex.org/W2138494306"],"abstract_inverted_index":{"Compressive":[0],"Sensing":[1],"(CS)":[2],"has":[3,29],"become":[4],"one":[5],"of":[6,17,20,38,71,78,99,134],"the":[7,15,18,36,39,46,67,75,79,93,100,138,151,185,203],"standard":[8],"methods":[9],"in":[10,33,150,200],"face":[11,107],"recognition":[12],"due":[13],"to":[14,54,60,82,202],"success":[16],"family":[19],"Sparse":[21],"Representation":[22],"based":[23],"Classification":[24],"(SRC)":[25],"algorithms.":[26],"However":[27],"it":[28],"been":[30],"shown":[31],"that":[32,73,85,173,191],"some":[34],"cases,":[35],"locality":[37],"dictionary":[40,84],"codewords":[41],"is":[42],"more":[43],"essential":[44],"than":[45],"sparsity.":[47],"Also":[48],"sparse":[49],"coding":[50],"does":[51],"not":[52],"guarantee":[53,74],"be":[55],"local":[56],"which":[57],"could":[58],"lead":[59],"an":[61,127],"unstable":[62],"solution.":[63],"We":[64,90,117],"therefore":[65],"consider":[66,105,142,155],"statistically":[68],"optimal":[69],"aspects":[70],"encoding":[72],"best":[76,101],"approximation":[77,125,130,196],"query":[80],"image":[81,108,120],"a":[83,123,146,164],"incorporates":[86],"varying":[87],"acquisition":[88],"conditions.":[89],"focus":[91],"on":[92,163],"investigation,":[94],"analysis":[95],"and":[96,104,126,149,190,205],"experimental":[97],"validation":[98],"robust":[102],"classifier/predictor":[103],"frontal":[106],"variability":[109],"induced":[110],"by":[111],"noise,":[112],"lighting,":[113],"expression,":[114],"pose,":[115],"etc..":[116],"compare":[118],"two":[119,132],"representations":[121],"using":[122,168],"pixel-wise":[124],"overcomplete":[128,194],"block-wise":[129,195],"with":[131],"types":[133],"sparsity":[135,178],"priors.":[136],"In":[137],"first":[139],"type":[140,153],"we":[141,154],"all":[143,156,159],"samples":[144,157],"from":[145,158,188],"single":[147],"subject":[148,176],"second":[152],"subjects.":[160],"The":[161],"experiments":[162],"publicly":[165],"available":[166],"dataset":[167],"low":[169],"resolution":[170],"images":[171],"showed":[172],"several":[174],"per":[175],"sample":[177],"prior":[179],"approximations":[180],"are":[181],"as":[182,184],"good":[183],"results":[186],"presented":[187],"SCR":[189],"our":[192],"simple":[193],"provides":[197],"superior":[198],"performance":[199],"comparison":[201],"SRC":[204],"WSRC":[206],"algorithm.":[207]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
