{"id":"https://openalex.org/W2792995678","doi":"https://doi.org/10.1109/cisp-bmei.2017.8301965","title":"A novel infrared and visible face fusion recognition method based on non-subsampled contourlet transform","display_name":"A novel infrared and visible face fusion recognition method based on non-subsampled contourlet transform","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2792995678","doi":"https://doi.org/10.1109/cisp-bmei.2017.8301965","mag":"2792995678"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8301965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8301965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5100452278","display_name":"Guodong Liu","orcid":"https://orcid.org/0000-0002-3173-6462"},"institutions":[{"id":"https://openalex.org/I41317344","display_name":"Jiangxi Science and Technology Normal University","ror":"https://ror.org/04r1zkp10","country_code":"CN","type":"education","lineage":["https://openalex.org/I41317344"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guodong Liu","raw_affiliation_strings":["Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Jiangxi Province, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Jiangxi Province, Nanchang, China","institution_ids":["https://openalex.org/I41317344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328848","display_name":"Shuai Zhang","orcid":"https://orcid.org/0000-0001-9153-5673"},"institutions":[{"id":"https://openalex.org/I41317344","display_name":"Jiangxi Science and Technology Normal University","ror":"https://ror.org/04r1zkp10","country_code":"CN","type":"education","lineage":["https://openalex.org/I41317344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Zhang","raw_affiliation_strings":["Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Jiangxi Province, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Jiangxi Province, Nanchang, China","institution_ids":["https://openalex.org/I41317344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089771584","display_name":"Zhihua Xie","orcid":"https://orcid.org/0000-0002-5180-8427"},"institutions":[{"id":"https://openalex.org/I41317344","display_name":"Jiangxi Science and Technology Normal University","ror":"https://ror.org/04r1zkp10","country_code":"CN","type":"education","lineage":["https://openalex.org/I41317344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Xie","raw_affiliation_strings":["Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Jiangxi Province, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Jiangxi Province, Nanchang, China","institution_ids":["https://openalex.org/I41317344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100452278"],"corresponding_institution_ids":["https://openalex.org/I41317344"],"apc_list":null,"apc_paid":null,"fwci":0.2354,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.65001868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9915000200271606,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/contourlet","display_name":"Contourlet","score":0.8817687034606934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8268294334411621},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7281257510185242},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6775708794593811},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.6717063188552856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6115541458129883},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5899228453636169},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5754300355911255},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5319032669067383},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5281455516815186},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5203441977500916},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.511793315410614},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47040873765945435},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4188668429851532},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15173447132110596},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.14883390069007874},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.13969051837921143},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0968393087387085},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07232362031936646},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.06758260726928711}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.8817687034606934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8268294334411621},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7281257510185242},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6775708794593811},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.6717063188552856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6115541458129883},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5899228453636169},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5754300355911255},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5319032669067383},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5281455516815186},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5203441977500916},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.511793315410614},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47040873765945435},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4188668429851532},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15173447132110596},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.14883390069007874},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.13969051837921143},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0968393087387085},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07232362031936646},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.06758260726928711},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/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/cisp-bmei.2017.8301965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8301965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1581809140","https://openalex.org/W1985216923","https://openalex.org/W2010376163","https://openalex.org/W2042857870","https://openalex.org/W2066733687","https://openalex.org/W2090942802","https://openalex.org/W2106002835","https://openalex.org/W2110363498","https://openalex.org/W2117072267","https://openalex.org/W2117853853","https://openalex.org/W2121307414","https://openalex.org/W2126074213","https://openalex.org/W2135366032","https://openalex.org/W2140719539","https://openalex.org/W2157255321","https://openalex.org/W2163352848","https://openalex.org/W2163952607","https://openalex.org/W2165731615","https://openalex.org/W2403967903","https://openalex.org/W2586960256","https://openalex.org/W2599180264","https://openalex.org/W2737387730"],"related_works":["https://openalex.org/W2363243283","https://openalex.org/W2363722403","https://openalex.org/W2388473933","https://openalex.org/W2025202639","https://openalex.org/W2803763537","https://openalex.org/W2412887622","https://openalex.org/W2036935742","https://openalex.org/W3146358037","https://openalex.org/W1669864993","https://openalex.org/W74665983"],"abstract_inverted_index":{"Near":[0],"infrared":[1,32,46,105,139],"and":[2,33,47,60,70,87,106,137,155,158],"visible":[3,34,48,107,136],"face":[4,16,35,49,108,128,140,164],"fusion":[5,24,36,113,127],"recognition":[6,17,129],"is":[7,29,40,114,131],"an":[8],"important":[9],"direction":[10],"in":[11,26,95],"the":[12,45,53,66,72,81,101,111,118,120,146,150,160],"field":[13],"of":[14,74,78,104,153,162],"unconstrained":[15,163],"research.":[18],"In":[19],"this":[20],"paper,":[21],"a":[22],"novel":[23],"algorithm":[25],"(NSCT)":[27],"domain":[28],"proposed":[30,126,147],"for":[31,122],"recognition.":[37,165],"Firstly,":[38],"NSCT":[39,79],"used":[41,115],"respectively":[42,94],"to":[43,64,99,116],"process":[44],"images,":[50],"which":[51],"exploits":[52],"image":[54],"information":[55],"at":[56],"multiple":[57],"scales,":[58],"orientations,":[59],"frequency":[61,76,97],"bands.":[62],"Then,":[63],"exploit":[65],"effective":[67],"discriminant":[68],"feature":[69],"balance":[71],"power":[73],"high-low":[75],"band":[77],"coefficients,":[80],"local":[82],"Gabor":[83],"binary":[84],"pattern":[85],"(LGBP)":[86],"Local":[88],"Binary":[89],"Pattern":[90],"(LBP)":[91],"are":[92],"applied":[93],"different":[96],"parts":[98],"obtain":[100],"robust":[102],"representation":[103],"images.":[109],"Finally,":[110],"score-level":[112],"fuse":[117],"all":[119],"features":[121,152],"final":[123],"classification.":[124],"The":[125],"method":[130,148],"tested":[132],"on":[133],"HITSZ":[134],"Lab2":[135],"near":[138],"database.":[141],"Experiment":[142],"results":[143],"show":[144],"that":[145],"extracts":[149],"complementary":[151],"near-infrared":[154],"visible-light":[156],"images":[157],"improves":[159],"robustness":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}