{"id":"https://openalex.org/W2559849696","doi":"https://doi.org/10.1109/access.2016.2635147","title":"Kinship Measurement on Face Images by Structured Similarity Fusion","display_name":"Kinship Measurement on Face Images by Structured Similarity Fusion","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2559849696","doi":"https://doi.org/10.1109/access.2016.2635147","mag":"2559849696"},"language":"en","primary_location":{"id":"doi:10.1109/access.2016.2635147","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2016.2635147","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2016.2635147","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102008834","display_name":"Min Xu","orcid":"https://orcid.org/0000-0002-9784-5792"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Xu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9784-5792","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101924786","display_name":"Yuanyuan Shang","orcid":"https://orcid.org/0000-0003-3135-0348"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Shang","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96852419"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3259,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.87149968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"4","issue":null,"first_page":"10280","last_page":"10287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9994999766349792,"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/T11448","display_name":"Face recognition and analysis","score":0.9994999766349792,"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/T11374","display_name":"Cleft Lip and Palate Research","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9653000235557556,"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/kinship","display_name":"Kinship","score":0.9072675704956055},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7066589593887329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.684270977973938},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6229881048202515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6135985851287842},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5464009046554565},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.535749614238739},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5290530920028687},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5138945579528809},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4873979687690735},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.4781852066516876},{"id":"https://openalex.org/keywords/similarity-learning","display_name":"Similarity learning","score":0.4631127417087555},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36444926261901855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2827376127243042},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2362453043460846}],"concepts":[{"id":"https://openalex.org/C144348335","wikidata":"https://www.wikidata.org/wiki/Q171318","display_name":"Kinship","level":2,"score":0.9072675704956055},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7066589593887329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684270977973938},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6229881048202515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6135985851287842},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5464009046554565},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.535749614238739},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5290530920028687},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5138945579528809},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4873979687690735},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.4781852066516876},{"id":"https://openalex.org/C2779597229","wikidata":"https://www.wikidata.org/wiki/Q17146505","display_name":"Similarity learning","level":3,"score":0.4631127417087555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36444926261901855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2827376127243042},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2362453043460846},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2016.2635147","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2016.2635147","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3cb6995832174ca387a2d6654c6935f6","is_oa":true,"landing_page_url":"https://doaj.org/article/3cb6995832174ca387a2d6654c6935f6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 4, Pp 10280-10287 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2016.2635147","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2016.2635147","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6859683628","display_name":null,"funder_award_id":"BAICIT-2016004","funder_id":"https://openalex.org/F4320333617","funder_display_name":"Beijing Advanced Innovation Center for Imaging Technology"},{"id":"https://openalex.org/G8159071088","display_name":null,"funder_award_id":"61601310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333617","display_name":"Beijing Advanced Innovation Center for Imaging Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W73315491","https://openalex.org/W401096764","https://openalex.org/W1241252238","https://openalex.org/W1532499126","https://openalex.org/W1546430343","https://openalex.org/W1906145078","https://openalex.org/W1972014290","https://openalex.org/W1992378626","https://openalex.org/W1998230826","https://openalex.org/W2012783213","https://openalex.org/W2013283603","https://openalex.org/W2047186200","https://openalex.org/W2062292812","https://openalex.org/W2071311441","https://openalex.org/W2076434944","https://openalex.org/W2079742827","https://openalex.org/W2100799972","https://openalex.org/W2105026179","https://openalex.org/W2105709960","https://openalex.org/W2108909793","https://openalex.org/W2110599581","https://openalex.org/W2112999064","https://openalex.org/W2117154949","https://openalex.org/W2120100419","https://openalex.org/W2122315118","https://openalex.org/W2125911081","https://openalex.org/W2129440600","https://openalex.org/W2132886138","https://openalex.org/W2138019504","https://openalex.org/W2145287260","https://openalex.org/W2145773134","https://openalex.org/W2147278565","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2163808566","https://openalex.org/W2164322079","https://openalex.org/W2171456302","https://openalex.org/W2172260703","https://openalex.org/W2323684557","https://openalex.org/W2335788292","https://openalex.org/W2343020623","https://openalex.org/W2520903215","https://openalex.org/W2560852071","https://openalex.org/W3105535737","https://openalex.org/W3141334570","https://openalex.org/W6602994362","https://openalex.org/W6613836571","https://openalex.org/W6631637103","https://openalex.org/W6632543029","https://openalex.org/W6675968127","https://openalex.org/W6676305975","https://openalex.org/W6677328822","https://openalex.org/W6681440187","https://openalex.org/W6685096548","https://openalex.org/W6703444992"],"related_works":["https://openalex.org/W1579373186","https://openalex.org/W4312685612","https://openalex.org/W2046291598","https://openalex.org/W4317827232","https://openalex.org/W2890085216","https://openalex.org/W2504703202","https://openalex.org/W4252628068","https://openalex.org/W1708418756","https://openalex.org/W2976679446","https://openalex.org/W2414520379"],"abstract_inverted_index":{"Kinship":[0],"verification":[1,164],"via":[2],"facial":[3],"images":[4,98],"is":[5,99],"an":[6,131],"emerging":[7],"problem":[8],"in":[9,28,37,156,170],"computer":[10],"vision":[11],"and":[12,114,124],"biometrics.":[13],"Recent":[14],"research":[15],"has":[16],"shown":[17],"that":[18,89,147],"learning":[19,44],"a":[20,25,30,40,94],"kin":[21,179],"similarity":[22,42,73,91],"measurement":[23,33,48,180],"plays":[24],"critical":[26],"role":[27],"constructing":[29],"vision-based":[31,178],"kinship":[32,47,108,143,163],"system.":[34],"We":[35,128],"propose":[36],"this":[38,53],"paper":[39],"new":[41],"metric":[43],"method":[45,149],"for":[46,61,76,177],"on":[49,142],"human":[50],"faces.":[51],"To":[52],"end,":[54],"we":[55],"first":[56],"extract":[57],"multiple":[58,70],"feature":[59],"representations":[60],"each":[62,77],"face":[63,67],"image":[64],"using":[65,83],"different":[66],"descriptors.":[68],"Then,":[69],"sparse":[71],"bilinear":[72],"models":[74],"(one":[75],"view)":[78],"are":[79],"jointly":[80],"learned":[81],"by":[82],"joint":[84],"structured":[85],"sparsity-inducing":[86],"norms,":[87],"such":[88],"the":[90,105,112,117,122,136,159,168],"score":[92],"of":[93,96,104],"pair":[95],"child-parent":[97],"consistently":[100],"higher":[101,125],"than":[102],"those":[103],"pairs":[106],"without":[107],"relations":[109],"while":[110],"leveraging":[111],"interactions":[113],"correlations":[115],"among":[116],"multiview":[118],"data":[119,144],"to":[120,134],"obtain":[121],"fused":[123],"level":[126],"information.":[127],"also":[129],"derive":[130],"efficient":[132],"algorithm":[133],"solve":[135],"formulated":[137],"nonsmooth":[138],"objective.":[139],"Experimental":[140],"results":[141],"sets":[145],"show":[146],"our":[148],"achieves":[150],"competitive":[151],"or":[152],"better":[153],"accuracy":[154],"performance":[155],"comparison":[157],"with":[158],"state-of-the-art":[160],"multimetric":[161],"learning-based":[162],"methods":[165],"but":[166],"enjoys":[167],"superiority":[169],"computational":[171],"efficiency,":[172],"making":[173],"it":[174],"more":[175],"practical":[176],"applications.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}