{"id":"https://openalex.org/W2521742168","doi":"https://doi.org/10.1007/978-3-319-46654-5_6","title":"Extended Robust Cascaded Pose Regression for Face Alignment","display_name":"Extended Robust Cascaded Pose Regression for Face Alignment","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2521742168","doi":"https://doi.org/10.1007/978-3-319-46654-5_6","mag":"2521742168"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-46654-5_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-46654-5_6","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5032611421","display_name":"Yongxin Ge","orcid":"https://orcid.org/0000-0003-3266-1009"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yongxin Ge","raw_affiliation_strings":["School of Softeware Engineering, Chongqing, 400044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Softeware Engineering, Chongqing, 400044, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089626953","display_name":"Xinyu Ren","orcid":"https://orcid.org/0000-0002-7981-6568"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinyu Ren","raw_affiliation_strings":["School of Softeware Engineering, Chongqing, 400044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Softeware Engineering, Chongqing, 400044, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031123838","display_name":"Cheng Peng","orcid":"https://orcid.org/0000-0002-2174-7811"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng Peng","raw_affiliation_strings":["School of Softeware Engineering, Chongqing, 400044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Softeware Engineering, Chongqing, 400044, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103213673","display_name":"Xuchu Wang","orcid":"https://orcid.org/0000-0002-0211-2781"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuchu Wang","raw_affiliation_strings":["College of Optoelectronic Engineering, Chongqing, 400044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Optoelectronic Engineering, Chongqing, 400044, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5032611421"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"50","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9911999702453613,"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/T11118","display_name":"Evolutionary Psychology and Human Behavior","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7893819808959961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7174041271209717},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6914993524551392},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6546556353569031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6444106101989746},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5471925735473633},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.466553658246994},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44602763652801514},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.43491360545158386},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.4197269380092621},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41890814900398254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27950671315193176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16720789670944214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11094078421592712},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.05194339156150818}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893819808959961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7174041271209717},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6914993524551392},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6546556353569031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6444106101989746},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5471925735473633},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.466553658246994},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44602763652801514},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.43491360545158386},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.4197269380092621},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41890814900398254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27950671315193176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16720789670944214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11094078421592712},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.05194339156150818},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-46654-5_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-46654-5_6","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W202494559","https://openalex.org/W204612701","https://openalex.org/W1963599662","https://openalex.org/W1977821862","https://openalex.org/W2014322185","https://openalex.org/W2026302673","https://openalex.org/W2038891881","https://openalex.org/W2038952578","https://openalex.org/W2076017598","https://openalex.org/W2078775693","https://openalex.org/W2105026179","https://openalex.org/W2111372597","https://openalex.org/W2116277445","https://openalex.org/W2120954940","https://openalex.org/W2132924377","https://openalex.org/W2135132101","https://openalex.org/W2135915000","https://openalex.org/W2136000821","https://openalex.org/W2138406903","https://openalex.org/W2152826865","https://openalex.org/W2157285372","https://openalex.org/W2166694921","https://openalex.org/W2180187800","https://openalex.org/W2284800790","https://openalex.org/W2561675875"],"related_works":["https://openalex.org/W2384527366","https://openalex.org/W2285494230","https://openalex.org/W31220157","https://openalex.org/W1989621828","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W4236479416","https://openalex.org/W2165884543","https://openalex.org/W3186837933"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
