{"id":"https://openalex.org/W2169109541","doi":"https://doi.org/10.1109/ijcb.2011.6117501","title":"3D face sketch modeling and assessment for component based face recognition","display_name":"3D face sketch modeling and assessment for component based face recognition","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2169109541","doi":"https://doi.org/10.1109/ijcb.2011.6117501","mag":"2169109541"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb.2011.6117501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb.2011.6117501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Joint Conference on Biometrics (IJCB)","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/A5046724184","display_name":"Shaun Canavan","orcid":"https://orcid.org/0000-0002-1538-476X"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaun Canavan","raw_affiliation_strings":["State University of New York at Binghamton, USA","State University of New york, Binghamton, Binghamton, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of New York at Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"State University of New york, Binghamton, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399115","display_name":"Xing Zhang","orcid":"https://orcid.org/0000-0002-2414-0134"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xing Zhang","raw_affiliation_strings":["State University of New York at Binghamton, USA","State University of New york, Binghamton, Binghamton, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of New York at Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"State University of New york, Binghamton, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411653","display_name":"Lijun Yin","orcid":"https://orcid.org/0000-0002-0343-7190"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lijun Yin","raw_affiliation_strings":["State University of New York at Binghamton, USA","State University of New york, Binghamton, Binghamton, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of New York at Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"State University of New york, Binghamton, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100419830","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0002-9587-4039"},"institutions":[{"id":"https://openalex.org/I161203489","display_name":"Youngstown State University","ror":"https://ror.org/038zf2n28","country_code":"US","type":"education","lineage":["https://openalex.org/I161203489"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Youngstown State University, OH, USA","Youngstown State University, Youngstown, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Youngstown State University, OH, USA","institution_ids":["https://openalex.org/I161203489"]},{"raw_affiliation_string":"Youngstown State University, Youngstown, OH, USA","institution_ids":["https://openalex.org/I161203489"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.19079924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"40","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/T10828","display_name":"Biometric Identification and Security","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/sketch","display_name":"Sketch","score":0.9031021595001221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7833722829818726},{"id":"https://openalex.org/keywords/sketch-recognition","display_name":"Sketch recognition","score":0.7306424975395203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.690076470375061},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6752323508262634},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5883854627609253},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.5848853588104248},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5719531774520874},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5118986368179321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48749518394470215},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4806443750858307},{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.4706168472766876},{"id":"https://openalex.org/keywords/face-hallucination","display_name":"Face hallucination","score":0.4616604447364807},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.4461011588573456},{"id":"https://openalex.org/keywords/facial-motion-capture","display_name":"Facial motion capture","score":0.43077677488327026},{"id":"https://openalex.org/keywords/face-recognition-grand-challenge","display_name":"Face Recognition Grand Challenge","score":0.4294060170650482},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4122990667819977},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.3295436501502991},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2783876359462738},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15222695469856262},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.13549402356147766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11075496673583984},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0929332971572876},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.07111003994941711}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.9031021595001221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7833722829818726},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.7306424975395203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.690076470375061},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6752323508262634},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5883854627609253},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.5848853588104248},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5719531774520874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5118986368179321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48749518394470215},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4806443750858307},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.4706168472766876},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.4616604447364807},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.4461011588573456},{"id":"https://openalex.org/C98907195","wikidata":"https://www.wikidata.org/wiki/Q5428562","display_name":"Facial motion capture","level":5,"score":0.43077677488327026},{"id":"https://openalex.org/C191070858","wikidata":"https://www.wikidata.org/wiki/Q5428343","display_name":"Face Recognition Grand Challenge","level":5,"score":0.4294060170650482},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4122990667819977},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3295436501502991},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2783876359462738},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15222695469856262},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.13549402356147766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11075496673583984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0929332971572876},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.07111003994941711},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/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/ijcb.2011.6117501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb.2011.6117501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1965123936","https://openalex.org/W1969376535","https://openalex.org/W1989702938","https://openalex.org/W2031240449","https://openalex.org/W2033783862","https://openalex.org/W2096076356","https://openalex.org/W2103560686","https://openalex.org/W2115592720","https://openalex.org/W2120749805","https://openalex.org/W2123937777","https://openalex.org/W2133708404","https://openalex.org/W2136063698","https://openalex.org/W2137659841","https://openalex.org/W2143056698","https://openalex.org/W2144073016","https://openalex.org/W2145315492","https://openalex.org/W2152826865","https://openalex.org/W2153288431","https://openalex.org/W2158096215","https://openalex.org/W2161308290","https://openalex.org/W2542323081","https://openalex.org/W4205392983","https://openalex.org/W6679975153","https://openalex.org/W6682686421"],"related_works":["https://openalex.org/W325114128","https://openalex.org/W63491089","https://openalex.org/W2133467193","https://openalex.org/W2940931619","https://openalex.org/W1557146082","https://openalex.org/W2166031825","https://openalex.org/W2185537520","https://openalex.org/W2129261353","https://openalex.org/W4282971840","https://openalex.org/W2121718848"],"abstract_inverted_index":{"3D":[0,22,26,42,51,55,73,79,92,97,101,107,110,113,116],"facial":[1,80,85],"representations":[2],"have":[3,70],"been":[4,12,36],"widely":[5],"used":[6],"for":[7,41],"face":[8,52,56,102,137],"recognition.":[9],"There":[10],"has":[11,35],"intensive":[13],"research":[14],"on":[15,21,38,119,130,148],"geometric":[16,27,39],"matching":[17],"and":[18,25,64,112,135],"similarity":[19,103],"measurement":[20,40],"range":[23],"data":[24],"meshes":[28],"of":[29],"individual":[30],"faces.":[31],"However,":[32],"little":[33],"investigation":[34],"done":[37],"sketch":[43,74,81,86,138],"models.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,69,89],"study":[49],"the":[50,91,95,100,120,132],"recognition":[53,143],"from":[54,61,83],"sketches":[57,63,93,108,114,117],"which":[58],"are":[59,128],"derived":[60],"hand-drawn":[62],"machine":[65],"generated":[66],"sketches.":[67],"First,":[68],"developed":[71],"a":[72,142],"modeling":[75],"approach":[76],"to":[77,94],"create":[78],"models":[82],"2D":[84],"images.":[87],"Second,":[88],"compared":[90],"existing":[96],"scans.":[98],"Third,":[99],"is":[104],"measured":[105],"between":[106],"versus":[109,115],"scans,":[111],"based":[118],"spatial":[121],"Hidden":[122],"Markov":[123],"Model":[124],"(HMM)":[125],"classification.":[126],"Experiments":[127],"conducted":[129],"both":[131],"BU-4DFE":[133],"database":[134],"YSU":[136],"database,":[139],"resulting":[140],"in":[141],"rate":[144],"at":[145],"around":[146],"92%":[147],"average.":[149]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}