{"id":"https://openalex.org/W1989507772","doi":"https://doi.org/10.1109/icacci.2013.6637254","title":"GMM based approach for human face verification using relative depth features","display_name":"GMM based approach for human face verification using relative depth features","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W1989507772","doi":"https://doi.org/10.1109/icacci.2013.6637254","mag":"1989507772"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2013.6637254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5101878177","display_name":"Ankita Jain","orcid":"https://orcid.org/0000-0002-2636-3665"},"institutions":[{"id":"https://openalex.org/I110675161","display_name":"Infosys (India)","ror":"https://ror.org/03bs18y54","country_code":"IN","type":"company","lineage":["https://openalex.org/I110675161"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ankita Jain","raw_affiliation_strings":["Centre for Research in Engineering Sciences and Technology (CREST), KPIT Cummins Infosystems Limited, Pune, India","Centre for Res. in Eng. Sci. & Technol. (CREST), KPIT Cummins Infosystems Ltd., Pune, India"],"affiliations":[{"raw_affiliation_string":"Centre for Research in Engineering Sciences and Technology (CREST), KPIT Cummins Infosystems Limited, Pune, India","institution_ids":["https://openalex.org/I110675161"]},{"raw_affiliation_string":"Centre for Res. in Eng. Sci. & Technol. (CREST), KPIT Cummins Infosystems Ltd., Pune, India","institution_ids":["https://openalex.org/I110675161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052542063","display_name":"Krishnan Kutty","orcid":null},"institutions":[{"id":"https://openalex.org/I110675161","display_name":"Infosys (India)","ror":"https://ror.org/03bs18y54","country_code":"IN","type":"company","lineage":["https://openalex.org/I110675161"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishnan Kutty","raw_affiliation_strings":["Centre for Research in Engineering Sciences and Technology (CREST), KPIT Cummins Infosystems Limited, Pune, India","Centre for Res. in Eng. Sci. & Technol. (CREST), KPIT Cummins Infosystems Ltd., Pune, India"],"affiliations":[{"raw_affiliation_string":"Centre for Research in Engineering Sciences and Technology (CREST), KPIT Cummins Infosystems Limited, Pune, India","institution_ids":["https://openalex.org/I110675161"]},{"raw_affiliation_string":"Centre for Res. in Eng. Sci. & Technol. (CREST), KPIT Cummins Infosystems Ltd., Pune, India","institution_ids":["https://openalex.org/I110675161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016187175","display_name":"Suresh Yerva","orcid":null},"institutions":[{"id":"https://openalex.org/I110675161","display_name":"Infosys (India)","ror":"https://ror.org/03bs18y54","country_code":"IN","type":"company","lineage":["https://openalex.org/I110675161"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suresh Yerva","raw_affiliation_strings":["Centre for Research in Engineering Sciences and Technology (CREST), KPIT Cummins Infosystems Limited, Pune, India","Centre for Res. in Eng. Sci. & Technol. (CREST), KPIT Cummins Infosystems Ltd., Pune, India"],"affiliations":[{"raw_affiliation_string":"Centre for Research in Engineering Sciences and Technology (CREST), KPIT Cummins Infosystems Limited, Pune, India","institution_ids":["https://openalex.org/I110675161"]},{"raw_affiliation_string":"Centre for Res. in Eng. Sci. & Technol. (CREST), KPIT Cummins Infosystems Ltd., Pune, India","institution_ids":["https://openalex.org/I110675161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101878177"],"corresponding_institution_ids":["https://openalex.org/I110675161"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.06688987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"675","last_page":"680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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":0.9934999942779541,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.993399977684021,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8187499642372131},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7966183423995972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7592933773994446},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7286170721054077},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5333011150360107},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5056850910186768},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5023789405822754},{"id":"https://openalex.org/keywords/planarity-testing","display_name":"Planarity testing","score":0.49060574173927307},{"id":"https://openalex.org/keywords/colored","display_name":"Colored","score":0.48008567094802856},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4396512508392334},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.42354580760002136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3819185495376587},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37059634923934937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14462518692016602}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8187499642372131},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7966183423995972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7592933773994446},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7286170721054077},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5333011150360107},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5056850910186768},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5023789405822754},{"id":"https://openalex.org/C68260962","wikidata":"https://www.wikidata.org/wiki/Q7200967","display_name":"Planarity testing","level":2,"score":0.49060574173927307},{"id":"https://openalex.org/C2778307483","wikidata":"https://www.wikidata.org/wiki/Q5149038","display_name":"Colored","level":2,"score":0.48008567094802856},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4396512508392334},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.42354580760002136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3819185495376587},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37059634923934937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14462518692016602},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2013.6637254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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":19,"referenced_works":["https://openalex.org/W65479595","https://openalex.org/W2000193855","https://openalex.org/W2023764834","https://openalex.org/W2028795476","https://openalex.org/W2046399019","https://openalex.org/W2098776079","https://openalex.org/W2102625004","https://openalex.org/W2104974755","https://openalex.org/W2111918405","https://openalex.org/W2114701396","https://openalex.org/W2135042441","https://openalex.org/W2160754664","https://openalex.org/W2161116336","https://openalex.org/W2161308290","https://openalex.org/W2161369719","https://openalex.org/W4234245929","https://openalex.org/W6602681685","https://openalex.org/W6679774077","https://openalex.org/W6683755010"],"related_works":["https://openalex.org/W4288090301","https://openalex.org/W2982185603","https://openalex.org/W1978684236","https://openalex.org/W2164938550","https://openalex.org/W3003614666","https://openalex.org/W2963573247","https://openalex.org/W1598502370","https://openalex.org/W1816979946","https://openalex.org/W4297455769","https://openalex.org/W191095475"],"abstract_inverted_index":{"Image":[0],"based":[1,20],"face":[2,83,132,154],"detection":[3],"and":[4,11,59,69,84,160,166],"verification":[5],"is":[6,22,86,96,120,133,158],"a":[7,32,76,90],"well":[8],"researched":[9],"topic":[10],"has":[12],"found":[13],"many":[14],"applications.":[15],"The":[16,93],"limitation":[17],"with":[18],"image":[19],"techniques":[21],"that":[23],"3D":[24,39,58,124,129,143],"real":[25,42],"world":[26],"objects":[27,54],"are":[28,46,70,147,150],"mapped":[29],"on":[30,140],"to":[31,50,107,122,164],"2D":[33,137],"plane,":[34],"which":[35,149],"causes":[36],"loss":[37],"of":[38,41,53,79,109,131,170],"features":[40,146],"objects.":[43,172],"Multiple":[44],"systems":[45,65],"available":[47],"in":[48,98,117],"literature":[49],"estimate":[51],"depths":[52],"viz.":[55],"stereo":[56],"images,":[57],"2.5D":[60],"scanners,":[61],"etc.":[62],"However,":[63],"these":[64],"require":[66],"additional":[67],"hardware":[68],"expensive.":[71],"In":[72,126],"the":[73,82,110,112,118,136],"proposed":[74],"approach,":[75],"colored":[77,94],"pattern":[78,95,113,119],"light":[80,165],"scans":[81],"video":[85],"captured":[87],"simultaneously":[88],"using":[89,101],"optical":[91],"camera.":[92],"detected":[97],"every":[99],"frame":[100],"Gaussian":[102],"Mixture":[103],"Model":[104],"(GMM).":[105],"Due":[106],"non-planarity":[108],"face,":[111],"gets":[114],"distorted.":[115],"Distortion":[116],"calculated":[121],"obtain":[123],"information.":[125],"this":[127,141],"way,":[128],"information":[130],"derived":[134],"from":[135],"frames.":[138],"Based":[139],"data,":[142],"or":[144],"depth":[145],"calculated,":[148],"then":[151],"used":[152],"for":[153],"verification.":[155],"This":[156],"approach":[157],"robust":[159],"handles":[161],"variations":[162],"due":[163],"insignificant":[167],"periodic":[168],"changes":[169],"background":[171]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}