{"id":"https://openalex.org/W2407556733","doi":"https://doi.org/10.1109/wacv.2016.7477667","title":"A novel inheritable color space with application to kinship verification","display_name":"A novel inheritable color space with application to kinship verification","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2407556733","doi":"https://doi.org/10.1109/wacv.2016.7477667","mag":"2407556733"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2016.7477667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","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/A5039181878","display_name":"Qingfeng Liu","orcid":"https://orcid.org/0000-0001-5437-4946"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qingfeng Liu","raw_affiliation_strings":["New Jersey Institute of Technology"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091705235","display_name":"Ajit Puthenputhussery","orcid":"https://orcid.org/0000-0001-7141-1534"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajit Puthenputhussery","raw_affiliation_strings":["New Jersey Institute of Technology"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454866","display_name":"Chengjun Liu","orcid":"https://orcid.org/0000-0002-2036-0770"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengjun Liu","raw_affiliation_strings":["New Jersey Institute of Technology"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039181878"],"corresponding_institution_ids":["https://openalex.org/I118118575"],"apc_list":null,"apc_paid":null,"fwci":1.503,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.87968852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9666000008583069,"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":0.9666000008583069,"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/T10057","display_name":"Face and Expression Recognition","score":0.9624999761581421,"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/T11144","display_name":"melanin and skin pigmentation","score":0.9416999816894531,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7939702868461609},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.740066647529602},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6797349452972412},{"id":"https://openalex.org/keywords/kinship","display_name":"Kinship","score":0.6695950627326965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.505479097366333},{"id":"https://openalex.org/keywords/rgb-color-space","display_name":"RGB color space","score":0.47048500180244446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4653893709182739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4306972622871399},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40831708908081055},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.19246569275856018},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.13239431381225586},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.0653807520866394}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7939702868461609},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.740066647529602},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6797349452972412},{"id":"https://openalex.org/C144348335","wikidata":"https://www.wikidata.org/wiki/Q171318","display_name":"Kinship","level":2,"score":0.6695950627326965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.505479097366333},{"id":"https://openalex.org/C84216515","wikidata":"https://www.wikidata.org/wiki/Q375677","display_name":"RGB color space","level":5,"score":0.47048500180244446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4653893709182739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4306972622871399},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40831708908081055},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.19246569275856018},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.13239431381225586},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0653807520866394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv.2016.7477667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","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":41,"referenced_works":["https://openalex.org/W113380337","https://openalex.org/W1488199789","https://openalex.org/W1498305593","https://openalex.org/W1770825568","https://openalex.org/W1970243926","https://openalex.org/W1972014290","https://openalex.org/W1975780119","https://openalex.org/W1980818935","https://openalex.org/W1984309565","https://openalex.org/W1989811281","https://openalex.org/W1996337501","https://openalex.org/W1998230826","https://openalex.org/W2033051029","https://openalex.org/W2050201048","https://openalex.org/W2058917167","https://openalex.org/W2066477856","https://openalex.org/W2071207147","https://openalex.org/W2079742827","https://openalex.org/W2082950766","https://openalex.org/W2090504921","https://openalex.org/W2090518410","https://openalex.org/W2106053110","https://openalex.org/W2117154949","https://openalex.org/W2132886138","https://openalex.org/W2135346934","https://openalex.org/W2136705357","https://openalex.org/W2139132812","https://openalex.org/W2139721582","https://openalex.org/W2145773134","https://openalex.org/W2162762921","https://openalex.org/W2162874784","https://openalex.org/W2164304065","https://openalex.org/W2165731615","https://openalex.org/W2184812340","https://openalex.org/W2652751060","https://openalex.org/W6629240041","https://openalex.org/W6666888491","https://openalex.org/W6675751002","https://openalex.org/W6677328822","https://openalex.org/W6684395442","https://openalex.org/W6739509182"],"related_works":["https://openalex.org/W3198104320","https://openalex.org/W3123096349","https://openalex.org/W2044382768","https://openalex.org/W2039176266","https://openalex.org/W2805159267","https://openalex.org/W2916810246","https://openalex.org/W2407615025","https://openalex.org/W4240358042","https://openalex.org/W2051365026","https://openalex.org/W1655795019"],"abstract_inverted_index":{"Anthropology":[0],"studies":[1],"discover":[2],"that":[3,129,212],"some":[4],"genetic":[5],"related":[6,140],"facial":[7],"features,":[8],"which":[9,108,137],"are":[10],"inherited":[11],"by":[12,75,232],"children":[13],"from":[14,112,166],"their":[15],"parents,":[16],"can":[17],"be":[18],"used":[19],"for":[20,174],"kinship":[21,49,84,145],"verification.":[22,50,146],"This":[23],"paper":[24],"investigates":[25],"an":[26],"important":[27],"inheritable":[28,36,69,117],"feature":[29,172],"-":[30],"color":[31,37,54,70,98,103,223,230],"and":[32,40,86,121,125,178,204,243],"presents":[33],"a":[34,41,52,67,156,233],"novel":[35,53],"space":[38,71],"(InCS)":[39,72],"generalized":[42,157],"InCS":[43,132,158,165,186,215],"(GInCS)":[44],"framework":[45,159],"with":[46],"application":[47],"to":[48,141,148,162,170,181,218,239],"Specifically,":[51],"similarity":[55,65],"measure":[56],"(CSM)":[57],"is":[58,73,109,138,152,160,187,216],"first":[59],"defined.":[60],"Second,":[61],"based":[62],"on":[63,189],"this":[64],"measure,":[66],"new":[68],"derived":[74],"balancing":[76],"the":[77,81,87,91,101,105,113,116,130,134,142,149,164,167,171,176,179,194,197,200,205,213,221,240],"criterion":[78,88],"of":[79,89,144],"minimizing":[80],"distance":[82,92],"between":[83,93,119],"pairs":[85],"maximizing":[90],"non-kinship":[94],"pairs.":[95],"Unlike":[96],"conventional":[97,222],"spaces,":[99],"e.g.":[100],"RGB":[102],"space,":[104],"proposed":[106,131,185,214],"InCS,":[107],"learned":[110],"automatically":[111],"data,":[114],"captures":[115],"information":[118],"parent":[120],"child.":[122],"Third,":[123],"theoretical":[124],"empirical":[126],"analysis":[127],"show":[128,211],"exhibits":[133],"decorrelation":[135],"property,":[136],"positively":[139],"performance":[143,177],"Robustness":[147],"illumination":[150,182,241],"variation":[151],"also":[153],"discussed.":[154],"Fourth,":[155],"presented":[161],"extend":[163],"pixel":[168],"level":[169,173],"improving":[175],"robustness":[180,238],"variation.":[183],"The":[184],"evaluated":[188],"several":[190],"popular":[191,247],"datasets,":[192],"namely":[193],"KinFaceW-I":[195],"dataset,":[196,199,203],"KinFaceW-II":[198],"UB":[201],"KinFace":[202,207],"Cornell":[206],"dataset.":[208],"Experimental":[209],"results":[210],"able":[217],"(i)":[219],"improve":[220],"spaces":[224,231],"such":[225],"as":[226],"RGB,":[227],"YUV,":[228],"YIQ":[229],"large":[234],"margin,":[235],"(ii)":[236],"achieve":[237],"variation,":[242],"(iii)":[244],"outperforms":[245],"other":[246],"methods.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"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"}