{"id":"https://openalex.org/W4254516864","doi":"https://doi.org/10.1109/icassp.2003.1199149","title":"Novel example-based shape learning for fast face alignment","display_name":"Novel example-based shape learning for fast face alignment","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W4254516864","doi":"https://doi.org/10.1109/icassp.2003.1199149"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2003.1199149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1199149","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","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/A5003198738","display_name":"Xiujuan Chai","orcid":"https://orcid.org/0000-0002-2757-9900"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiujuan Chai","raw_affiliation_strings":["CAS, Institute of Computing Technology, Beijing, China","Vilab, Computer College, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"CAS, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Vilab, Computer College, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050297728","display_name":"Shiguang Shan","orcid":"https://orcid.org/0000-0002-8348-392X"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Shan","raw_affiliation_strings":["CAS, Institute of Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"CAS, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037562051","display_name":"Wenxue Gao","orcid":"https://orcid.org/0000-0001-8030-8432"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["CAS, Institute of Computing Technology, Beijing, China","Vilab, Computer College, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"CAS, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Vilab, Computer College, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040466138","display_name":"Bo Ca","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Ca","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003198738"],"corresponding_institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50806452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"III","last_page":"229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9835000038146973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.8103222846984863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7533078789710999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6299589276313782},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6025732755661011},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5964829325675964},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5697984099388123},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.5580158233642578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5545395016670227},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5367333889007568},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5350023508071899},{"id":"https://openalex.org/keywords/linearity","display_name":"Linearity","score":0.4322688579559326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36865538358688354}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.8103222846984863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7533078789710999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6299589276313782},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6025732755661011},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5964829325675964},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5697984099388123},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.5580158233642578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5545395016670227},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5367333889007568},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5350023508071899},{"id":"https://openalex.org/C77170095","wikidata":"https://www.wikidata.org/wiki/Q1753188","display_name":"Linearity","level":2,"score":0.4322688579559326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36865538358688354},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2003.1199149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1199149","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","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":11,"referenced_works":["https://openalex.org/W2003467992","https://openalex.org/W2033419168","https://openalex.org/W2038952578","https://openalex.org/W2101055828","https://openalex.org/W2113341759","https://openalex.org/W2114108767","https://openalex.org/W2115689562","https://openalex.org/W2166125343","https://openalex.org/W2172803778","https://openalex.org/W2917743105","https://openalex.org/W6677312218"],"related_works":["https://openalex.org/W2023858428","https://openalex.org/W4247324130","https://openalex.org/W2538259895","https://openalex.org/W2126963364","https://openalex.org/W4400804331","https://openalex.org/W2218509615","https://openalex.org/W2051287254","https://openalex.org/W2370937376","https://openalex.org/W2132337154","https://openalex.org/W2384651879"],"abstract_inverted_index":{"A":[0],"novel":[1,65,93,99,137],"example-based":[2],"shape":[3,36,62,89,134],"learning":[4,50,81],"(ESL)":[5],"strategy":[6],"is":[7,15,102],"proposed":[8,151],"for":[9,135],"facial":[10],"feature":[11],"alignment.":[12],"The":[13],"method":[14],"motivated":[16],"by":[17,71,104],"an":[18,26,105],"intuitive":[19],"and":[20,34,83,147,156],"experimental":[21],"observation":[22],"that":[23,38],"there":[24],"exists":[25],"approximate":[27],"linearity":[28],"relationship":[29],"between":[30],"the":[31,35,61,76,80,88,92,98,110,113,123,127,132,136,145,150],"image":[32,67,101],"difference":[33],"difference,":[37],"is,":[39],"similar":[40,44],"face":[41,45,53,58,66,94,100,138],"images":[42,54,78],"imply":[43],"shapes.":[46],"Therefore,":[47],"given":[48],"a":[49],"set":[51,82],"of":[52,63,91,109,126,149],"with":[55,160],"their":[56],"corresponding":[57],"landmarks":[59],"labeled,":[60],"any":[64],"can":[68,118],"be":[69,119],"learned":[70],"estimating":[72],"its":[73],"similarities":[74,86],"to":[75,87,122,130],"training":[77,111,128],"in":[79,153],"applying":[84],"these":[85],"reconstruction":[90],"image.":[95,139],"Concretely,":[96],"if":[97],"expressed":[103],"optimal":[106,133],"linear":[107,115,124],"combination":[108,116,125],"images,":[112],"same":[114],"coefficients":[117],"directly":[120],"applied":[121],"shapes":[129],"construct":[131],"Our":[140],"experiments":[141],"have":[142],"convincingly":[143],"shown":[144],"effectiveness":[146],"efficiency":[148],"approach":[152],"both":[154],"speed":[155],"accuracy":[157],"performance":[158],"compared":[159],"other":[161],"methods.":[162]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}