{"id":"https://openalex.org/W2030203266","doi":"https://doi.org/10.1109/btas.2013.6712717","title":"On RGB-D face recognition using Kinect","display_name":"On RGB-D face recognition using Kinect","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2030203266","doi":"https://doi.org/10.1109/btas.2013.6712717","mag":"2030203266"},"language":"en","primary_location":{"id":"doi:10.1109/btas.2013.6712717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2013.6712717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)","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/A5028415358","display_name":"Gaurav Goswami","orcid":"https://orcid.org/0000-0003-0250-5603"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Gaurav Goswami","raw_affiliation_strings":["IIIT Delhi","[IIIT Delhi, New Delhi, India.]"],"affiliations":[{"raw_affiliation_string":"IIIT Delhi","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]},{"raw_affiliation_string":"[IIIT Delhi, New Delhi, India.]","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102073826","display_name":"Samarth Bharadwaj","orcid":null},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samarth Bharadwaj","raw_affiliation_strings":["IIIT Delhi","[IIIT Delhi, New Delhi, India.]"],"affiliations":[{"raw_affiliation_string":"IIIT Delhi","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]},{"raw_affiliation_string":"[IIIT Delhi, New Delhi, India.]","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050521702","display_name":"Mayank Vatsa","orcid":"https://orcid.org/0000-0001-5952-2274"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Vatsa","raw_affiliation_strings":["IIIT Delhi","[IIIT Delhi, New Delhi, India.]"],"affiliations":[{"raw_affiliation_string":"IIIT Delhi","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]},{"raw_affiliation_string":"[IIIT Delhi, New Delhi, India.]","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011779957","display_name":"Richa Singh","orcid":"https://orcid.org/0000-0003-4060-4573"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]},{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Richa Singh","raw_affiliation_strings":["IIIT Delhi","[IIIT Delhi, New Delhi, India.]"],"affiliations":[{"raw_affiliation_string":"IIIT Delhi","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]},{"raw_affiliation_string":"[IIIT Delhi, New Delhi, India.]","institution_ids":["https://openalex.org/I119939252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028415358"],"corresponding_institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":9.2533,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.98267811,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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/T10057","display_name":"Face and Expression Recognition","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/T11448","display_name":"Face recognition and analysis","score":0.9994000196456909,"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":0.9980000257492065,"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/rgb-color-model","display_name":"RGB color model","score":0.8274462819099426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.802653431892395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7370646595954895},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6561216115951538},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6446141004562378},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6154878735542297},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5102744102478027},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5078147053718567},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.4805186688899994},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.47512656450271606},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42619889974594116},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.39297249913215637}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8274462819099426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.802653431892395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7370646595954895},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6561216115951538},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6446141004562378},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6154878735542297},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5102744102478027},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5078147053718567},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.4805186688899994},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.47512656450271606},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42619889974594116},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.39297249913215637},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/btas.2013.6712717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2013.6712717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1520420617","https://openalex.org/W1930624869","https://openalex.org/W1970030635","https://openalex.org/W1982048725","https://openalex.org/W2028592945","https://openalex.org/W2063978571","https://openalex.org/W2065595219","https://openalex.org/W2074142320","https://openalex.org/W2087708972","https://openalex.org/W2109647201","https://openalex.org/W2110551327","https://openalex.org/W2118615399","https://openalex.org/W2122882636","https://openalex.org/W2124386111","https://openalex.org/W2128272608","https://openalex.org/W2129594096","https://openalex.org/W2129812935","https://openalex.org/W2131650918","https://openalex.org/W2154461202","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2168356304","https://openalex.org/W2652751060","https://openalex.org/W4214926090","https://openalex.org/W4243205182","https://openalex.org/W6631237528","https://openalex.org/W6640462745","https://openalex.org/W6679503618","https://openalex.org/W6682663018","https://openalex.org/W6739509182"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W4387163326","https://openalex.org/W2185537520","https://openalex.org/W325114128","https://openalex.org/W4285815683","https://openalex.org/W2336272890","https://openalex.org/W4312238398","https://openalex.org/W4308999963"],"abstract_inverted_index":{"Face":[0],"recognition":[1,69,146],"algorithms":[2],"generally":[3],"use":[4],"2D":[5,95,151],"images":[6,35,50],"for":[7,71],"feature":[8,91],"extraction":[9],"and":[10,47,152],"matching.":[11],"In":[12],"order":[13],"to":[14,28,38,41,61,105,111,125,142,149],"achieve":[15,143],"better":[16],"performance,":[17],"3D":[18,34,153],"faces":[19,86],"captured":[20,51],"via":[21],"specialized":[22],"acquisition":[23],"methods":[24],"have":[25],"been":[26],"used":[27,102,141],"develop":[29],"improved":[30,144],"algorithms.":[31],"While":[32],"such":[33,44],"remain":[36],"difficult":[37],"obtain":[39],"due":[40],"several":[42],"issues":[43],"as":[45,103],"cost":[46,54],"accessibility,":[48],"RGB-D":[49,72,85,99,121,134],"by":[52,137],"low":[53],"sensors":[55],"(e.g.":[56],"Kinect)":[57],"are":[58],"comparatively":[59],"easier":[60],"acquire.":[62],"This":[63,115],"research":[64,116],"introduces":[65],"a":[66,78,94,106,119],"novel":[67,120],"face":[68,122,145],"algorithm":[70,76],"images.":[73],"The":[74,97,128],"proposed":[75],"computes":[77],"descriptor":[79,100],"based":[80],"on":[81],"the":[82,89,113,133],"entropy":[83],"of":[84],"along":[87],"with":[88],"saliency":[90],"obtained":[92,136],"from":[93],"face.":[96],"probe":[98],"is":[101],"input":[104],"random":[107],"decision":[108],"forest":[109],"classifier":[110],"establish":[112],"identity.":[114],"also":[117],"presents":[118],"database":[123],"pertaining":[124],"106":[126],"individuals.":[127],"experimental":[129],"results":[130],"indicate":[131],"that":[132],"information":[135],"Kinect":[138],"can":[139],"be":[140],"performance":[147],"compared":[148],"existing":[150],"approaches.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}