{"id":"https://openalex.org/W2113054737","doi":"https://doi.org/10.1109/icip.2005.1530065","title":"Robust face alignment based on local texture classifiers","display_name":"Robust face alignment based on local texture classifiers","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2113054737","doi":"https://doi.org/10.1109/icip.2005.1530065","mag":"2113054737"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1530065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","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/A5100418950","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-6674-692X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Computer Science and Technology Department, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Technology Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074577884","display_name":"Haizhou Ai","orcid":"https://orcid.org/0000-0002-0166-5755"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haizhou Ai","raw_affiliation_strings":["Computer Science and Technology Department, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Technology Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073843882","display_name":"Shengjun Xin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjun Xin","raw_affiliation_strings":["Computer Science and Technology Department, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Technology Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050972076","display_name":"Chang Huang","orcid":"https://orcid.org/0000-0002-2451-5100"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Huang","raw_affiliation_strings":["Computer Science and Technology Department, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Technology Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097176338","display_name":"Shuichiro Tsukiji","orcid":null},"institutions":[{"id":"https://openalex.org/I146230289","display_name":"Omron (Japan)","ror":"https://ror.org/00q0w1h45","country_code":"JP","type":"company","lineage":["https://openalex.org/I146230289"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuichiro Tsukiji","raw_affiliation_strings":["Sensing Technology Laboratory, Omron Corporation, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Sensing Technology Laboratory, Omron Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I146230289"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110512343","display_name":"Shihong Lao","orcid":null},"institutions":[{"id":"https://openalex.org/I146230289","display_name":"Omron (Japan)","ror":"https://ror.org/00q0w1h45","country_code":"JP","type":"company","lineage":["https://openalex.org/I146230289"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shihong Lao","raw_affiliation_strings":["Sensing Technology Laboratory, Omron Corporation, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Sensing Technology Laboratory, Omron Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I146230289"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100418950"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":5.6727,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.96473596,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"II","last_page":"354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9979000091552734,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9842000007629395,"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/discriminative-model","display_name":"Discriminative model","score":0.8391074538230896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.769436240196228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.724330723285675},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7106298208236694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6640226244926453},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4620819091796875},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3758145272731781}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8391074538230896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.769436240196228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.724330723285675},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7106298208236694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6640226244926453},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4620819091796875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3758145272731781},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2005.1530065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.644.2668","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.2668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://media.cs.tsinghua.edu.cn/~ahz/papers/icip05-1312-Face alignment.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.97.1009","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.97.1009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://iris.usc.edu/~zhang11/publication/lzhang_icip05facealignment.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1535137548","https://openalex.org/W1545755623","https://openalex.org/W2032210760","https://openalex.org/W2106494881","https://openalex.org/W2109493099","https://openalex.org/W2116589437","https://openalex.org/W2148378645","https://openalex.org/W2164598857","https://openalex.org/W4244952642","https://openalex.org/W6632004651","https://openalex.org/W6632734240","https://openalex.org/W6676001294","https://openalex.org/W6676607618","https://openalex.org/W6681833455"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W1487808658","https://openalex.org/W2082783427"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,8,33,80],"robust":[3],"face":[4],"alignment":[5],"algorithm":[6,76],"with":[7,59],"novel":[9],"discriminative":[10,43],"local":[11,20,38,55],"texture":[12,21,39],"model.":[13,40],"Different":[14],"from":[15,32],"the":[16,46,50,75],"conventional":[17],"descriptive":[18],"PCA":[19],"model":[22],"in":[23,79],"ASM,":[24],"classifiers":[25],"using":[26],"LUT-type":[27],"Haar-like":[28],"features":[29],"are":[30,87],"trained":[31],"large":[34],"data":[35],"set":[36],"as":[37],"The":[41],"strong":[42],"power":[44],"of":[45,54],"classifier":[47],"greatly":[48],"improves":[49],"accuracy":[51,92],"and":[52,62,74,93],"robustness":[53],"searching":[56],"on":[57],"faces":[58],"expression":[60],"variation":[61],"ambiguous":[63],"contours.":[64],"A":[65],"Bayesian":[66],"framework":[67],"is":[68,77],"configured":[69],"for":[70,83],"shape":[71],"parameter":[72],"optimization":[73],"implemented":[78],"hierarchical":[81],"structure":[82],"efficiency.":[84],"Extensive":[85],"experiments":[86],"reported":[88],"to":[89],"show":[90],"its":[91],"robustness.":[94]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
