{"id":"https://openalex.org/W2114763125","doi":"https://doi.org/10.1109/afgr.2004.1301607","title":"Estimating face pose by facial asymmetry and geometry","display_name":"Estimating face pose by facial asymmetry and geometry","publication_year":2004,"publication_date":"2004-06-10","ids":{"openalex":"https://openalex.org/W2114763125","doi":"https://doi.org/10.1109/afgr.2004.1301607","mag":"2114763125"},"language":"en","primary_location":{"id":"doi:10.1109/afgr.2004.1301607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afgr.2004.1301607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.","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/A5113788480","display_name":"Yuxiao Hu","orcid":"https://orcid.org/0000-0002-1557-3288"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Yuxiao Hu","raw_affiliation_strings":["Microsoft Research Limited, Beijing, China","Microsoft Research, , Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Limited, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research, , Beijing, China","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032116085","display_name":"Longbin Chen","orcid":"https://orcid.org/0000-0003-0545-7360"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Longbin Chen","raw_affiliation_strings":["University of Miami, Coral Gables, FL, USA","University of Miami, Coral Gables, FL"],"affiliations":[{"raw_affiliation_string":"University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"University of Miami, Coral Gables, FL","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056443318","display_name":"Yi Zhou","orcid":"https://orcid.org/0000-0003-0565-9456"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yi Zhou","raw_affiliation_strings":["University of Miami, Coral Gables, FL, USA","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hongjiang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Hongjiang Zhang","raw_affiliation_strings":["University of Miami, Coral Gables, FL, USA","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113788480"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"],"apc_list":null,"apc_paid":null,"fwci":2.2084,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.88715219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9820","issue":null,"first_page":"651","last_page":"657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10057","display_name":"Face and Expression Recognition","score":0.9973000288009644,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9760000109672546,"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":0.8108254075050354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7746250033378601},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7073737382888794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6615906953811646},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5981244444847107},{"id":"https://openalex.org/keywords/asymmetry","display_name":"Asymmetry","score":0.5887131690979004},{"id":"https://openalex.org/keywords/facial-symmetry","display_name":"Facial symmetry","score":0.5258384346961975},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4806858003139496},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45831483602523804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4535258412361145},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.44731175899505615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29574909806251526},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2633081078529358},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07496726512908936}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8108254075050354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7746250033378601},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7073737382888794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6615906953811646},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5981244444847107},{"id":"https://openalex.org/C38976095","wikidata":"https://www.wikidata.org/wiki/Q752641","display_name":"Asymmetry","level":2,"score":0.5887131690979004},{"id":"https://openalex.org/C178195510","wikidata":"https://www.wikidata.org/wiki/Q17013040","display_name":"Facial symmetry","level":2,"score":0.5258384346961975},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4806858003139496},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45831483602523804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4535258412361145},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.44731175899505615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29574909806251526},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2633081078529358},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07496726512908936},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C29694066","wikidata":"https://www.wikidata.org/wiki/Q118301","display_name":"Orthodontics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/afgr.2004.1301607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afgr.2004.1301607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.467.8127","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.467.8127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ifp.illinois.edu/~hu3/FaceTracking_PoseEstimation/Documents/Head pose estimation-CameraReady.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1931059338","https://openalex.org/W2011420243","https://openalex.org/W2096568301","https://openalex.org/W2097365005","https://openalex.org/W2102052448","https://openalex.org/W2103876808","https://openalex.org/W2104750785","https://openalex.org/W2106418974","https://openalex.org/W2122782540","https://openalex.org/W2124798705","https://openalex.org/W2131701119","https://openalex.org/W2136771893","https://openalex.org/W2137385871","https://openalex.org/W2148491550","https://openalex.org/W2153410050","https://openalex.org/W3214102110","https://openalex.org/W6674607832","https://openalex.org/W6676025511","https://openalex.org/W6679246740","https://openalex.org/W6680454319","https://openalex.org/W6682011138","https://openalex.org/W6804270185"],"related_works":["https://openalex.org/W1980563100","https://openalex.org/W1644661642","https://openalex.org/W4297670902","https://openalex.org/W2035154026","https://openalex.org/W2065779551","https://openalex.org/W2050217822","https://openalex.org/W2148091560","https://openalex.org/W2034055915","https://openalex.org/W3125783595","https://openalex.org/W2082471726"],"abstract_inverted_index":{"A":[0],"robust":[1],"pose":[2,22,51,77,99],"estimation":[3],"approach":[4,81],"is":[5,23,66,82],"proposed":[6,80],"by":[7,26],"combining":[8],"facial":[9,35,54],"appearance":[10],"asymmetry":[11,29],"and":[12,52,96,101,114],"3D":[13],"geometry":[14],"in":[15,91,103],"a":[16,69,86],"coarse-to-fine":[17],"framework.":[18],"The":[19,79],"rough":[20,58],"face":[21,50,59,87],"first":[24],"estimated":[25],"analyzing":[27],"the":[28,31,34,49,53,76],"of":[30,33,93],"distribution":[32],"component":[36],"detection":[37],"confidences":[38],"on":[39],"an":[40,45],"image,":[41],"which":[42],"actually":[43],"implies":[44],"intrinsic":[46],"relation":[47],"between":[48],"appearance.":[55],"Then,":[56],"this":[57],"pose,":[60],"as":[61,63],"well":[62],"error":[64],"bandwidth,":[65],"utilized":[67],"into":[68],"3D-to-2D":[70],"geometrical":[71],"model":[72],"matching":[73],"to":[74,84,110],"refine":[75],"estimation.":[78],"able":[83],"track":[85],"with":[88],"fast":[89],"motion":[90],"front":[92],"cluttered":[94],"background":[95],"recover":[97],"its":[98,112],"robustly":[100],"accurately":[102],"real-":[104],"time.":[105],"Experiment":[106],"results":[107],"are":[108],"provided":[109],"demonstrate":[111],"efficiency":[113],"accuracy.":[115]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}