{"id":"https://openalex.org/W1982390156","doi":"https://doi.org/10.1109/btas.2010.5634502","title":"Facial feature localization using graph matching with higher order statistical shape priors and global optimization","display_name":"Facial feature localization using graph matching with higher order statistical shape priors and global optimization","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W1982390156","doi":"https://doi.org/10.1109/btas.2010.5634502","mag":"1982390156"},"language":"en","primary_location":{"id":"doi:10.1109/btas.2010.5634502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2010.5634502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Fourth IEEE 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/A5001856198","display_name":"Shervin Rahimzadeh Arashloo","orcid":"https://orcid.org/0000-0003-0189-4774"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Shervin Rahimzadeh Arashloo","raw_affiliation_strings":["Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK","Center for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK"],"affiliations":[{"raw_affiliation_string":"Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"Center for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028209738","display_name":"Josef Kittler","orcid":"https://orcid.org/0000-0002-8110-9205"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Josef Kittler","raw_affiliation_strings":["Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK","Center for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK"],"affiliations":[{"raw_affiliation_string":"Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"Center for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041107015","display_name":"William Christmas","orcid":"https://orcid.org/0000-0002-6796-3536"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"William J. Christmas","raw_affiliation_strings":["Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK","Center for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK"],"affiliations":[{"raw_affiliation_string":"Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"Center for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001856198"],"corresponding_institution_ids":["https://openalex.org/I28290843"],"apc_list":null,"apc_paid":null,"fwci":1.2931,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80576408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"8"},"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":0.9988999962806702,"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":0.9980999827384949,"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":0.6745274066925049},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6190917491912842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6162642240524292},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5939062237739563},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5215206742286682},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.4978823661804199},{"id":"https://openalex.org/keywords/point-distribution-model","display_name":"Point distribution model","score":0.4806024730205536},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44739970564842224},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.41487663984298706},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.346964955329895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34253546595573425},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3033396899700165}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6745274066925049},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6190917491912842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6162642240524292},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5939062237739563},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5215206742286682},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.4978823661804199},{"id":"https://openalex.org/C118317068","wikidata":"https://www.wikidata.org/wiki/Q2100760","display_name":"Point distribution model","level":2,"score":0.4806024730205536},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44739970564842224},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.41487663984298706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.346964955329895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34253546595573425},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3033396899700165},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/btas.2010.5634502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2010.5634502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.377.5206","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.377.5206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://xm2vtsdb.ee.surrey.ac.uk/CVSSP/Publications/papers/Arashloo-BTAS-2010.pdf","raw_type":"text"},{"id":"pmh:oai:alma.44SUR_INST:11139936280002346","is_oa":false,"landing_page_url":"https://openresearch.surrey.ac.uk/esploro/outputs/conferencePresentation/Facial-feature-localization-using-graph-matching/99516112702346","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"event"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1499329969","https://openalex.org/W1527240141","https://openalex.org/W1579638621","https://openalex.org/W1625255723","https://openalex.org/W1744214816","https://openalex.org/W1855204404","https://openalex.org/W1964885660","https://openalex.org/W1977545325","https://openalex.org/W1987684212","https://openalex.org/W2032479800","https://openalex.org/W2033222113","https://openalex.org/W2038952578","https://openalex.org/W2057175746","https://openalex.org/W2079725183","https://openalex.org/W2082308025","https://openalex.org/W2085183210","https://openalex.org/W2099666521","https://openalex.org/W2105811459","https://openalex.org/W2107723815","https://openalex.org/W2108136692","https://openalex.org/W2108619558","https://openalex.org/W2109434346","https://openalex.org/W2110070888","https://openalex.org/W2114741181","https://openalex.org/W2118877769","https://openalex.org/W2120954940","https://openalex.org/W2127597232","https://openalex.org/W2128262632","https://openalex.org/W2131782326","https://openalex.org/W2137821246","https://openalex.org/W2138451337","https://openalex.org/W2140404463","https://openalex.org/W2140666719","https://openalex.org/W2143792226","https://openalex.org/W2147945459","https://openalex.org/W2150545569","https://openalex.org/W2151103935","https://openalex.org/W2152475608","https://openalex.org/W2152826865","https://openalex.org/W2157244733","https://openalex.org/W2158844819","https://openalex.org/W2160126058","https://openalex.org/W2163352848","https://openalex.org/W2168002178","https://openalex.org/W2169066680","https://openalex.org/W2171193910","https://openalex.org/W2171675680","https://openalex.org/W2542451952","https://openalex.org/W2544981553","https://openalex.org/W2787523326","https://openalex.org/W4213060235","https://openalex.org/W4234534407","https://openalex.org/W4255272741","https://openalex.org/W6629740406","https://openalex.org/W6631618440","https://openalex.org/W6634586226","https://openalex.org/W6637760914","https://openalex.org/W6638958570","https://openalex.org/W6671717920","https://openalex.org/W6676302190","https://openalex.org/W6677548441","https://openalex.org/W6685201359","https://openalex.org/W6729089632"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W2562263695","https://openalex.org/W2135187896","https://openalex.org/W2147201983","https://openalex.org/W2015518264","https://openalex.org/W2795035211","https://openalex.org/W2160108762","https://openalex.org/W2017034551","https://openalex.org/W1990603712","https://openalex.org/W2250899144"],"abstract_inverted_index":{"This":[0],"paper":[1,98],"presents":[2],"a":[3,37,44,91,100,197],"graphical":[4],"model":[5,20],"for":[6,93,102,152,196],"de-formable":[7],"face":[8,94],"matching":[9,200],"and":[10,22,28,53,65,161,202,211],"landmark":[11],"localization":[12,154],"under":[13],"an":[14,49,193],"unknown":[15],"non-rigid":[16],"warp.":[17],"The":[18,70,114,147,176,187],"proposed":[19,71],"learns":[21],"combines":[23],"statistics":[24],"of":[25,31,39,76,83,104,116,143,149,164],"both":[26,157],"appearance":[27],"shape":[29,55,106],"variations":[30,56],"facial":[32,77],"images":[33,163,168,172],"(learnt":[34],"purely":[35],"from":[36,174],"set":[38],"frontal":[40,160],"training":[41],"images)":[42],"in":[43,48,59,128,208],"complex":[45],"objective":[46,61,119],"function":[47,62,120],"unsupervised":[50],"manner.":[51],"Local":[52],"global":[54],"are":[57,139],"included":[58],"the":[60,74,81,86,97,118,124,130,150,159,165],"as":[63,108,141,169,171,192],"binary":[64],"higher":[66,109,131],"order":[67,110,132],"clique":[68],"potentials.":[69],"approach":[72,127,151],"exploits":[73],"sparseness":[75],"features":[78],"to":[79,181,205],"reduce":[80],"complexity":[82],"inference":[84],"over":[85],"probabilistic":[87],"model.":[88],"Besides":[89],"presenting":[90],"method":[92,177,188,201],"feature":[95,153],"localization,":[96],"proposes":[99],"framework":[101],"incorporation":[103],"statistical":[105],"priors":[107],"cliques":[111],"into":[112],"MRFs.":[113],"problem":[115],"optimizing":[117],"is":[121,155,189,203],"performed":[122,156],"using":[123],"dual":[125],"decomposition":[126],"which":[129],"subproblems":[133],"based":[134],"on":[135,158],"point":[136],"distribution":[137],"models":[138],"formulated":[140],"instances":[142],"convex":[144],"quadratic":[145],"programs.":[146],"evaluation":[148],"rotated":[162],"XM2VTS":[166],"dataset":[167],"well":[170],"collected":[173],"Google.":[175],"shows":[178],"high":[179],"robustness":[180],"partial":[182],"occlusion,":[183],"pose":[184],"changes":[185],"etc.":[186],"then":[190],"applied":[191],"initialization":[194],"step":[195],"more":[198],"costly":[199],"shown":[204],"be":[206],"instrumental":[207],"improving":[209],"performance":[210],"reducing":[212],"runtime.":[213]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
