{"id":"https://openalex.org/W2008672983","doi":"https://doi.org/10.1109/fg.2013.6553721","title":"Illumination invariant human face recognition: frequency or resonance?","display_name":"Illumination invariant human face recognition: frequency or resonance?","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2008672983","doi":"https://doi.org/10.1109/fg.2013.6553721","mag":"2008672983"},"language":"en","primary_location":{"id":"doi:10.1109/fg.2013.6553721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2013.6553721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","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/A5013052563","display_name":"Aryaz Baradarani","orcid":"https://orcid.org/0000-0002-3035-3814"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aryaz Baradarani","raw_affiliation_strings":["Department of Electrical Engineering, University of Windsor, ONT, Canada","Dept. of Electr. Eng., Univ. of Windsor, Windsor, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Windsor, ONT, Canada","institution_ids":["https://openalex.org/I74413500"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Univ. of Windsor, Windsor, ON, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100731724","display_name":"Q. M. Jonathan Wu","orcid":"https://orcid.org/0000-0002-5208-7975"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Q. M. Jonathan Wu","raw_affiliation_strings":["Department of Electrical Engineering, University of Windsor, ONT, Canada","Dept. of Electr. Eng., Univ. of Windsor, Windsor, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Windsor, ONT, Canada","institution_ids":["https://openalex.org/I74413500"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Univ. of Windsor, Windsor, ON, Canada","institution_ids":["https://openalex.org/I74413500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5525,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.69607894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"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":0.9987000226974487,"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/T12676","display_name":"Machine Learning and ELM","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9800000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7489238977432251},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6732300519943237},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6485189199447632},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5973585844039917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5509169101715088},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5137516260147095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5066214203834534},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4909253418445587},{"id":"https://openalex.org/keywords/resonance","display_name":"Resonance (particle physics)","score":0.48786282539367676},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.42425405979156494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32858580350875854},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2798152267932892},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07550221681594849}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7489238977432251},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6732300519943237},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6485189199447632},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5973585844039917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5509169101715088},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5137516260147095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5066214203834534},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4909253418445587},{"id":"https://openalex.org/C139210041","wikidata":"https://www.wikidata.org/wiki/Q2145840","display_name":"Resonance (particle physics)","level":2,"score":0.48786282539367676},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.42425405979156494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32858580350875854},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2798152267932892},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07550221681594849},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C109214941","wikidata":"https://www.wikidata.org/wiki/Q18334","display_name":"Particle physics","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg.2013.6553721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2013.6553721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308380","display_name":"Yale University","ror":"https://ror.org/03v76x132"},{"id":"https://openalex.org/F4320320994","display_name":"Canada Research Chairs","ror":"https://ror.org/0517h6h17"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1554503376","https://openalex.org/W1588423009","https://openalex.org/W1782590233","https://openalex.org/W1937491688","https://openalex.org/W1964358753","https://openalex.org/W1977527736","https://openalex.org/W1992137233","https://openalex.org/W2006793117","https://openalex.org/W2021427222","https://openalex.org/W2026131661","https://openalex.org/W2026271794","https://openalex.org/W2032141861","https://openalex.org/W2071766335","https://openalex.org/W2082665774","https://openalex.org/W2085968136","https://openalex.org/W2112797878","https://openalex.org/W2121647436","https://openalex.org/W2123921160","https://openalex.org/W2125874614","https://openalex.org/W2131081720","https://openalex.org/W2137659841","https://openalex.org/W2154996879","https://openalex.org/W2157500953","https://openalex.org/W2164847484","https://openalex.org/W2980468885","https://openalex.org/W6633182972","https://openalex.org/W6634941137"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W2388958958","https://openalex.org/W2384651879"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"suggest":[4],"the":[5,24,67,92,97,105,120,136,139],"use":[6],"of":[7,11,27,51,70,72,94,96,138],"resonance":[8,73,141],"based":[9,74,142],"decomposition":[10,75],"images":[12,56],"for":[13,78],"illumination":[14,19,52,83,90,113,145],"invariant":[15,146],"face":[16,147],"recognition.":[17,148],"Although":[18],"is":[20],"mostly":[21],"considered":[22,47],"as":[23,48],"low-frequency":[25,30],"part":[26],"images,":[28],"these":[29],"contents":[31],"may":[32],"possess":[33],"low-":[34,61],"and/or":[35],"high-resonance":[36,63],"nature.":[37],"We":[38],"first":[39],"assume":[40],"that":[41],"an":[42,79,86],"input":[43],"image":[44,80,87],"can":[45,100],"be":[46,101],"a":[49],"combination":[50],"and":[53,62,85,118,124,133],"reflectance.":[54],"The":[55],"are":[57,76],"then":[58],"decomposed":[59],"into":[60],"components":[64,99],"simultaneously.":[65],"Because":[66],"energy":[68,93,109],"distribution":[69,110],"subbands":[71,95,106],"different":[77],"with":[81,88,107],"good":[82],"effects":[84],"high":[89],"variations,":[91],"two":[98],"thresholded":[102],"to":[103],"deactivate":[104],"unwanted":[108],"created":[111],"by":[112],"effects.":[114],"For":[115],"dimensionality":[116],"reduction":[117],"classification":[119],"principal":[121],"component":[122],"analysis":[123],"extreme":[125],"learning":[126],"machine":[127],"have":[128],"been":[129],"used,":[130],"respectively.":[131],"Experiments":[132],"comparisons":[134],"illustrate":[135],"effectiveness":[137],"proposed":[140],"method":[143],"in":[144]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
