{"id":"https://openalex.org/W2808087484","doi":null,"title":"Facial expression recognition based on facial anatomy","display_name":"Facial expression recognition based on facial anatomy","publication_year":2013,"publication_date":"2013-06-06","ids":{"openalex":"https://openalex.org/W2808087484","mag":"2808087484"},"language":"en","primary_location":{"id":"pmh:oai:acikerisim.isikun.edu.tr:11729/1011","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11729/1011","pdf_url":null,"source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"},"parent_works":[],"lineage":["https://openalex.org/W2808087484"],"child_works_count":0,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11729/1011","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038811851","display_name":"Kristin S. Benli","orcid":"https://orcid.org/0000-0001-6282-6703","observed_orcids":["https://orcid.org/0000-0001-6282-6703"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Benli, Kristin Surpuhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5038811851"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9580000042915344,"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":0.9580000042915344,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.02370000071823597,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.011900000274181366,"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/facial-expression-recognition","display_name":"facial expression recognition","score":1.0},{"id":"https://openalex.org/keywords/facial-anatomy","display_name":"facial anatomy","score":0.8730000257492065},{"id":"https://openalex.org/keywords/facial-muscle-activation","display_name":"facial muscle activation","score":0.7110000252723694},{"id":"https://openalex.org/keywords/3d-face-models","display_name":"3D face models","score":0.8349999785423279},{"id":"https://openalex.org/keywords/facial-landmark-tracking","display_name":"facial landmark tracking","score":0.597000002861023},{"id":"https://openalex.org/keywords/optical-flow","display_name":"optical flow","score":0.753000020980835},{"id":"https://openalex.org/keywords/head-pose-estimation","display_name":"head pose estimation","score":0.8360000252723694},{"id":"https://openalex.org/keywords/ray-tracing","display_name":"ray tracing","score":0.7749999761581421},{"id":"https://openalex.org/keywords/basic-emotions","display_name":"basic emotions","score":0.5189999938011169}],"concepts":[{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6171974539756775},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.4718109369277954},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.4150567650794983},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3834809958934784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35355570912361145},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.330422043800354},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.31720584630966187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3163125514984131},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22558152675628662}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:acikerisim.isikun.edu.tr:11729/1011","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11729/1011","pdf_url":null,"source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"},{"id":"pmh:oai:localhost:11729/1011","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/11729/1011","pdf_url":null,"source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"doctoralThesis"}],"best_oa_location":{"id":"pmh:oai:acikerisim.isikun.edu.tr:11729/1011","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11729/1011","pdf_url":null,"source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4285177865","https://openalex.org/W2958264276","https://openalex.org/W2955855292","https://openalex.org/W2755506759","https://openalex.org/W3027021127","https://openalex.org/W7019061065","https://openalex.org/W2809353764","https://openalex.org/W7056789135","https://openalex.org/W2304619091","https://openalex.org/W2319309063"],"abstract_inverted_index":{"In":[0],"this":[1,290],"thesis":[2],"we":[3,287],"propose":[4],"to":[5,51,78,84,98,102,136,166,294],"determine":[6,103],"the":[7,17,66,80,85,99,111,120,125,138,143,150,157,163,168,180,186,209,241,267,295,305,308,312],"underlying":[8],"muscle":[9,210,245],"forces":[10],"that":[11,27,44],"compose":[12],"a":[13,39,57,74,128,231],"facial":[14,20,32,92,237],"expression":[15,53],"under":[16],"constraint":[18],"of":[19,31,62,91,124,149,171,188,194,203,215,234,244,270,281,299,307],"anatomy.":[21],"Muscular":[22],"activities":[23],"are":[24,28,94,108,208,228,292],"novel":[25],"features":[26,227,248],"highly":[29],"representative":[30,242],"expressions.":[33,238],"We":[34,69,118,152,239],"model":[35,43,83,141,172,195],"human":[36,296],"face":[37,82,140,182],"with":[38,59,142,304],"3D":[40,81,139],"generic":[41],"wireframe":[42],"embeds":[45],"all":[46],"major":[47],"muscles.":[48],"The":[49,88,174,191,263,285],"input":[50],"our":[52],"recognition":[54,297],"system":[55,202,214],"is":[56,183,217],"video":[58],"marked":[60],"set":[61],"landmark":[63],"points":[64,72,107],"on":[65,110,249,266],"first":[67],"frame.":[68],"use":[70,153,280],"these":[71],"and":[73,96,161,259,302],"semi-automatic":[75],"fitting":[76],"algorithm":[77],"register":[79],"subject's":[86,144,181],"face.":[87],"influence":[89],"regions":[90],"muscles":[93],"estimated":[95,175],"projected":[97],"image":[100,112,164],"plane":[101,113,165],"feature":[104],"points.":[105],"These":[106],"tracked":[109],"using":[114,219],"optical":[115],"flow":[116],"algorithm.":[117,131],"estimate":[119,167],"rigid":[121],"body":[122],"transformation":[123],"head":[126,145],"through":[127,162],"greedy":[129],"search":[130],"This":[132,213],"stage":[133],"enables":[134],"us":[135,198],"align":[137],"in":[146,185,230,289,311],"consecutive":[147],"frames":[148],"video.":[151],"ray":[154],"tracing":[155],"from":[156],"perspective":[158],"reference":[159],"point":[160],"new":[169],"coordinates":[170,177],"vertices.":[173],"vertex":[176],"indicate":[178],"how":[179],"deformed":[184],"progression":[187],"an":[189,199],"expression.":[190],"relative":[192],"motion":[193],"vertices":[196],"provides":[197],"over-determined":[200],"linear":[201],"equations":[204,216],"where":[205],"unknown":[206],"parameters":[207],"activation":[211],"levels.":[212],"solved":[218],"constrained":[220],"least":[221],"square":[222],"optimization.":[223],"Muscle":[224],"activity":[225],"based":[226,247],"evaluated":[229],"classification":[232,268],"problem":[233,269],"seven":[235,271],"basic":[236],"demonstrate":[240],"power":[243],"force":[246],"four":[250],"classifiers;":[251],"Linear":[252],"Discriminant":[253],"Analysis,":[254],"Naive":[255],"Bayes,":[256],"k-Nearest":[257],"Neighbor":[258],"Support":[260,282],"Vector":[261,283],"Machine.":[262,284],"best":[264],"performance":[265],"expressions":[272],"including":[273],"neutral":[274],"was":[275],"87.1":[276],"%,":[277],"obtained":[278],"by":[279],"results":[286],"attained":[288],"study":[291],"close":[293],"ceiling":[298],"87-91.7":[300],"%":[301],"comparable":[303],"state":[306],"art":[309],"algorithms":[310],"literature.":[313]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2025-10-10T00:00:00"}