{"id":"https://openalex.org/W2794103048","doi":"https://doi.org/10.1109/vcip.2017.8305111","title":"Illumination invariant feature based on neighboring radiance ratio","display_name":"Illumination invariant feature based on neighboring radiance ratio","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2794103048","doi":"https://doi.org/10.1109/vcip.2017.8305111","mag":"2794103048"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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/A5100672721","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0002-1993-6031"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068702040","display_name":"Xiaolin Wu","orcid":"https://orcid.org/0000-0001-5437-3740"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Wu","raw_affiliation_strings":["Department of Electrical & Computer Engineering, McMaster University","Department of Electronic Engineering, Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, McMaster University","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100672721"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66363496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9940999746322632,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9923999905586243,"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/radiance","display_name":"Radiance","score":0.8588764667510986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.692975640296936},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.663540780544281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6253668069839478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6200768947601318},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6145406365394592},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5937687158584595},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5884512662887573},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5722704529762268},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49951910972595215},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46611884236335754},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4196026623249054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25525301694869995},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23252248764038086},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1261940598487854},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09110760688781738},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08139339089393616}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.8588764667510986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.692975640296936},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.663540780544281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6253668069839478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6200768947601318},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6145406365394592},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5937687158584595},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5884512662887573},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5722704529762268},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49951910972595215},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46611884236335754},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4196026623249054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25525301694869995},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23252248764038086},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1261940598487854},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09110760688781738},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08139339089393616},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2017.8305111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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":17,"referenced_works":["https://openalex.org/W1545641654","https://openalex.org/W1965620683","https://openalex.org/W1996082966","https://openalex.org/W2043694524","https://openalex.org/W2063718733","https://openalex.org/W2082665774","https://openalex.org/W2095999100","https://openalex.org/W2098693229","https://openalex.org/W2098951409","https://openalex.org/W2121647436","https://openalex.org/W2123921160","https://openalex.org/W2123941108","https://openalex.org/W2125874614","https://openalex.org/W2136731103","https://openalex.org/W2155759509","https://openalex.org/W2165916500","https://openalex.org/W6680032128"],"related_works":["https://openalex.org/W2896728493","https://openalex.org/W2392142157","https://openalex.org/W2043512367","https://openalex.org/W4321518006","https://openalex.org/W2331836163","https://openalex.org/W2024462231","https://openalex.org/W2985118265","https://openalex.org/W2114428029","https://openalex.org/W2100099236","https://openalex.org/W1575585820"],"abstract_inverted_index":{"In":[0,21],"many":[1],"object":[2,18],"recognition":[3,19],"applications,":[4],"especially":[5],"in":[6],"face":[7],"recognition,":[8],"varying":[9],"illuminations":[10],"can":[11],"adversely":[12],"affect":[13],"the":[14,17,79,90],"robustness":[15],"of":[16,44,60,81,89,93],"system.":[20],"this":[22],"paper,":[23],"we":[24],"propose":[25],"a":[26,53],"novel":[27],"illumination":[28,91,133],"invariant":[29],"feature":[30,101,131],"called":[31],"Neighboring":[32],"Radiance":[33],"Ratio":[34],"(NRR)":[35],"which":[36],"is":[37,47,74,95,102,127],"insensitive":[38],"to":[39,78],"both":[40],"intensity":[41],"and":[42,49,72,108,111,123],"direction":[43],"light.":[45],"NRR":[46,61,73,94,100,126],"derived":[48],"analyzed":[50],"based":[51],"on":[52,104],"physical":[54],"image":[55,130],"formation":[56],"model.":[57],"The":[58,87,98,117],"computation":[59],"does":[62],"not":[63],"need":[64],"any":[65,69],"prior":[66],"information":[67],"or":[68],"training":[70],"data":[71],"far":[75],"less":[76],"sensitive":[77],"border":[80],"shadows":[82],"than":[83],"most":[84],"existing":[85],"methods.":[86,116],"analysis":[88,122],"invariance":[92],"also":[96],"presented.":[97],"proposed":[99],"tested":[103],"Extended":[105],"Yale":[106],"B":[107],"CMU-PIE":[109],"databases":[110],"compared":[112],"with":[113],"several":[114],"previous":[115],"experimental":[118],"results":[119],"corroborate":[120],"our":[121],"demonstrate":[124],"that":[125],"highly":[128],"robust":[129],"against":[132],"changes.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
