{"id":"https://openalex.org/W2568274620","doi":"https://doi.org/10.2312/cgvc.20161296","title":"Exploring Face Recognition under Complex Lighting Conditions with HDR Imaging","display_name":"Exploring Face Recognition under Complex Lighting Conditions with HDR Imaging","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2568274620","doi":"https://doi.org/10.2312/cgvc.20161296","mag":"2568274620"},"language":"en","primary_location":{"id":"doi:10.2312/cgvc.20161296","is_oa":true,"landing_page_url":"https://doi.org/10.2312/cgvc.20161296","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/cgvc.20161296","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035210345","display_name":"Emmanuel O. Ige","orcid":null},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ige, Emmanuel O.","raw_affiliation_strings":["Univ of Warwick, Coventry, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087052285","display_name":"Kurt Debattista","orcid":"https://orcid.org/0000-0003-2982-5199"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Debattista, Kurt","raw_affiliation_strings":["Univ of Warwick, Coventry, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Muhkerjee, Ratnajit","orcid":null},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Muhkerjee, Ratnajit","raw_affiliation_strings":["Univ of Warwick, Coventry, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082873538","display_name":"Alan Chalmers","orcid":"https://orcid.org/0000-0002-1724-1500"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chalmers, Alan","raw_affiliation_strings":["Univ of Warwick, Coventry, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T11448","display_name":"Face recognition and analysis","score":0.9936000108718872,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9896000027656555,"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/computer-vision","display_name":"Computer vision","score":0.7362002730369568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7358513474464417},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.71169513463974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7053200006484985},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.6557611227035522},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6461499929428101},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5748357772827148},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.5592761635780334},{"id":"https://openalex.org/keywords/image-based-lighting","display_name":"Image-based lighting","score":0.5215518474578857},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5130085349082947},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4224241375923157},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41349682211875916},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.26218879222869873},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.227920800447464},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1728440523147583}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7362002730369568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7358513474464417},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.71169513463974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053200006484985},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.6557611227035522},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6461499929428101},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5748357772827148},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.5592761635780334},{"id":"https://openalex.org/C204060014","wikidata":"https://www.wikidata.org/wiki/Q6002069","display_name":"Image-based lighting","level":4,"score":0.5215518474578857},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5130085349082947},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4224241375923157},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41349682211875916},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26218879222869873},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.227920800447464},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1728440523147583},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/cgvc.20161296","is_oa":true,"landing_page_url":"https://doi.org/10.2312/cgvc.20161296","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/cgvc.20161296","is_oa":true,"landing_page_url":"https://doi.org/10.2312/cgvc.20161296","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W857918181","https://openalex.org/W1483393136","https://openalex.org/W1486111105","https://openalex.org/W1509635264","https://openalex.org/W1581809140","https://openalex.org/W1582694172","https://openalex.org/W1969365488","https://openalex.org/W1996285419","https://openalex.org/W2021099955","https://openalex.org/W2038166557","https://openalex.org/W2040482041","https://openalex.org/W2054891869","https://openalex.org/W2059403727","https://openalex.org/W2101151916","https://openalex.org/W2103819808","https://openalex.org/W2107034620","https://openalex.org/W2119605622","https://openalex.org/W2125874614","https://openalex.org/W2131081720","https://openalex.org/W2133848164","https://openalex.org/W2146772029","https://openalex.org/W2150721269","https://openalex.org/W2156255034","https://openalex.org/W2163808566","https://openalex.org/W2165828254","https://openalex.org/W2166049352","https://openalex.org/W2170505850","https://openalex.org/W2473373050"],"related_works":["https://openalex.org/W2765946592","https://openalex.org/W3121929717","https://openalex.org/W2906027327","https://openalex.org/W2189149743","https://openalex.org/W198644033","https://openalex.org/W2148454732","https://openalex.org/W2979836745","https://openalex.org/W3014510223","https://openalex.org/W1592116568","https://openalex.org/W2812070140","https://openalex.org/W3153048166","https://openalex.org/W2951025888","https://openalex.org/W2910627863","https://openalex.org/W2187304906","https://openalex.org/W2902139631","https://openalex.org/W2212931458","https://openalex.org/W2951845152","https://openalex.org/W2995188998","https://openalex.org/W3090909107","https://openalex.org/W1586418132"],"abstract_inverted_index":{"Applying":[0],"image":[1],"processing":[2],"applications":[3,32],"under":[4,52,126],"complex":[5],"or":[6,55],"harsh":[7,128,184],"lighting":[8,129,185],"conditions":[9,130],"can":[10,19,61],"be":[11,20],"a":[12,150,170],"difficult":[13],"challenge.":[14],"In":[15],"particular,":[16],"face":[17,116,152,166],"recognition":[18,153,167],"prone":[21],"to":[22,26,33,44,87,101,149,180],"such":[23],"limitations":[24],"due":[25,86,100],"the":[27,31,40,57,63,66,71,77,83,111,142],"uncontrolled":[28],"nature":[29],"of":[30,39,65,70,79,104,123],"which":[34,60],"it":[35],"is":[36,48,76],"applied.":[37],"One":[38,69],"conventional":[41],"ways":[42],"used":[43],"resolve":[45],"this":[46,75],"concern":[47],"by":[49],"capturing":[50],"images":[51,85,125,161],"controlled":[53],"light":[54],"pre-processing":[56],"affected":[58],"images,":[59],"change":[62],"perception":[64],"resultant":[67],"images.":[68],"primary":[72],"issues":[73],"with":[74,140,164,183],"lack":[78],"information":[80],"present":[81],"in":[82],"original":[84],"over-exposed":[88],"and":[89,120,145,176],"under-exposed":[90],"pixels.":[91],"High":[92],"Dynamic":[93],"Range":[94],"(HDR)":[95],"imaging":[96,114],"offers":[97],"an":[98],"alternative":[99],"its":[102],"capability":[103],"handling":[105],"natural":[106],"lighting.":[107],"This":[108],"paper":[109],"explores":[110],"use":[112,163],"HDR":[113,124,147,159],"for":[115,162],"recognition.":[117],"A":[118],"training":[119],"testing":[121],"set":[122],"different":[127],"was":[131],"created.":[132],"Traditional":[133],"low":[134],"dynamic":[135],"range":[136,144],"methods":[137,148,168],"were":[138],"compared":[139],"using":[141],"full":[143],"applying":[146],"traditional":[151,165,178],"method.":[154],"Results":[155],"demonstrate":[156],"that":[157],"adapting":[158],"captured":[160],"via":[169],"tone":[171],"mapping":[172],"provides":[173],"sufficient":[174],"improvement":[175],"enables":[177],"algorithms":[179],"cope":[181],"well":[182],"scenarios.":[186]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
