{"id":"https://openalex.org/W2514744075","doi":"https://doi.org/10.1109/icme.2016.7552889","title":"Robust face image alignment using structural priors","display_name":"Robust face image alignment using structural priors","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2514744075","doi":"https://doi.org/10.1109/icme.2016.7552889","mag":"2514744075"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2016.7552889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","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/A5090356888","display_name":"Xiaojie Guo","orcid":"https://orcid.org/0000-0002-0326-8382"},"institutions":[{"id":"https://openalex.org/I4210138172","display_name":"Institute of Information Security","ror":"https://ror.org/03rmfrm44","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210138172"]},{"id":"https://openalex.org/I4391768012","display_name":"State Key Laboratory of Information Security","ror":"https://ror.org/012cr4033","country_code":null,"type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404","https://openalex.org/I4391768012"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Xiaojie Guo","raw_affiliation_strings":["IIE, State Key Laboratory Of Information Security"],"affiliations":[{"raw_affiliation_string":"IIE, State Key Laboratory Of Information Security","institution_ids":["https://openalex.org/I4210138172","https://openalex.org/I4391768012"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008820992","display_name":"Dongdai Lin","orcid":"https://orcid.org/0000-0002-3951-7889"},"institutions":[{"id":"https://openalex.org/I4210138172","display_name":"Institute of Information Security","ror":"https://ror.org/03rmfrm44","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210138172"]},{"id":"https://openalex.org/I4391768012","display_name":"State Key Laboratory of Information Security","ror":"https://ror.org/012cr4033","country_code":null,"type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404","https://openalex.org/I4391768012"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dongdai Lin","raw_affiliation_strings":["IIE, State Key Laboratory Of Information Security"],"affiliations":[{"raw_affiliation_string":"IIE, State Key Laboratory Of Information Security","institution_ids":["https://openalex.org/I4210138172","https://openalex.org/I4391768012"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090356888"],"corresponding_institution_ids":["https://openalex.org/I4210138172","https://openalex.org/I4391768012"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08067196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","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":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","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/T11448","display_name":"Face recognition and analysis","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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7869822978973389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7837886214256287},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6923322677612305},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.674901008605957},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6582077145576477},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6455597281455994},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6449015140533447},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5304604768753052},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5102055072784424},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.503717839717865},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4191233515739441},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.06557795405387878}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7869822978973389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7837886214256287},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6923322677612305},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.674901008605957},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6582077145576477},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6455597281455994},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6449015140533447},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5304604768753052},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5102055072784424},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.503717839717865},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4191233515739441},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.06557795405387878},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2016.7552889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1736339626","https://openalex.org/W1974042113","https://openalex.org/W2013015287","https://openalex.org/W2035746673","https://openalex.org/W2045079045","https://openalex.org/W2058532290","https://openalex.org/W2070789837","https://openalex.org/W2085400714","https://openalex.org/W2103560185","https://openalex.org/W2106950979","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2123921160","https://openalex.org/W2124807296","https://openalex.org/W2125874614","https://openalex.org/W2129812935","https://openalex.org/W2136171036","https://openalex.org/W2137089267","https://openalex.org/W2138424157","https://openalex.org/W2138451337","https://openalex.org/W2145962650","https://openalex.org/W2153663612","https://openalex.org/W2157785665","https://openalex.org/W2160547390","https://openalex.org/W2994340921","https://openalex.org/W6653944615","https://openalex.org/W6659319144","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W1973963881","https://openalex.org/W1580457994","https://openalex.org/W2384651879","https://openalex.org/W2912726270"],"abstract_inverted_index":{"In":[0,71],"sparse":[1],"representation":[2],"based":[3],"face":[4,16,22],"recognition":[5,23,40],"systems,":[6],"the":[7,28,47,53,81,88,92,115],"dictionary":[8],"is":[9,43],"assumed":[10],"to":[11,46,58,78],"be":[12,59],"trained":[13],"using":[14],"well-controlled":[15],"images.":[17],"Many":[18],"classic":[19],"and":[20,68,91,96,101,111],"contemporary":[21],"algorithms":[24],"work":[25],"well":[26],"under":[27],"assumption,":[29],"but":[30],"degrade":[31],"sharply":[32],"when":[33],"they":[34],"are":[35,63],"used":[36],"in":[37,50],"a":[38,76],"real":[39,112],"system.":[41],"This":[42],"mostly":[44],"due":[45],"fact":[48],"that,":[49],"real-world":[51],"scenarios,":[52],"training":[54],"faces":[55],"often":[56],"appear":[57],"loosely":[60],"controlled,":[61],"which":[62],"with":[64],"different":[65],"poses,":[66],"occlusions":[67],"lighting":[69],"conditions.":[70],"this":[72],"paper,":[73],"we":[74],"propose":[75],"method":[77,86],"simultaneously":[79],"handle":[80],"difficulties":[82],"mentioned":[83],"above.":[84],"Our":[85],"eliminates":[87],"pose":[89],"ambiguity":[90],"effect":[93],"of":[94,117],"occlusion":[95],"illumination":[97],"by":[98],"imposing":[99],"spatial":[100],"temporal":[102],"structure":[103],"constraints,":[104],"respectively.":[105],"Experimental":[106],"results":[107],"on":[108],"both":[109],"synthetic":[110],"data":[113],"demonstrate":[114],"efficacy":[116],"our":[118],"proposed":[119],"method.":[120]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
