{"id":"https://openalex.org/W102873416","doi":"https://doi.org/10.1007/978-3-642-10520-3_63","title":"Using Subspace Multiple Linear Regression for 3D Face Shape Prediction from a Single Image","display_name":"Using Subspace Multiple Linear Regression for 3D Face Shape Prediction from a Single Image","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W102873416","doi":"https://doi.org/10.1007/978-3-642-10520-3_63","mag":"102873416"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-10520-3_63","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-10520-3_63","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":"book-chapter","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/A5071778349","display_name":"Mario Castel\u00e1n","orcid":"https://orcid.org/0000-0001-5846-6645"},"institutions":[{"id":"https://openalex.org/I4210138439","display_name":"Centro de Investigaci\u00f3n en Materiales Avanzados","ror":"https://ror.org/03h954e30","country_code":"MX","type":"facility","lineage":["https://openalex.org/I4210138439"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Mario Castel\u00e1n","raw_affiliation_strings":["Grupo de Rob\u00f3tica y Manufactura Avanzada, Centro de Investigaci\u00f3n y de Estudios Avanzados del I.P.N., Ramos Arizpe, Coah. 25900, M\u00e9xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Grupo de Rob\u00f3tica y Manufactura Avanzada, Centro de Investigaci\u00f3n y de Estudios Avanzados del I.P.N., Ramos Arizpe, Coah. 25900, M\u00e9xico","institution_ids":["https://openalex.org/I4210138439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087281826","display_name":"Gustavo A. Puerto-Souza","orcid":null},"institutions":[{"id":"https://openalex.org/I124618812","display_name":"Mathematics Research Center","ror":"https://ror.org/02nhmp827","country_code":"MX","type":"facility","lineage":["https://openalex.org/I124618812"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Gustavo A. Puerto-Souza","raw_affiliation_strings":["Centro de Investigaci\u00f3n en Matem\u00e1ticas, Guanajuato, Gto. 36240, M\u00e9xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Investigaci\u00f3n en Matem\u00e1ticas, Guanajuato, Gto. 36240, M\u00e9xico","institution_ids":["https://openalex.org/I124618812"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021229459","display_name":"Johan Van Horebeek","orcid":null},"institutions":[{"id":"https://openalex.org/I124618812","display_name":"Mathematics Research Center","ror":"https://ror.org/02nhmp827","country_code":"MX","type":"facility","lineage":["https://openalex.org/I124618812"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Johan Van Horebeek","raw_affiliation_strings":["Centro de Investigaci\u00f3n en Matem\u00e1ticas, Guanajuato, Gto. 36240, M\u00e9xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Investigaci\u00f3n en Matem\u00e1ticas, Guanajuato, Gto. 36240, M\u00e9xico","institution_ids":["https://openalex.org/I124618812"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.5642,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88694242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"662","last_page":"673"},"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":0.9984999895095825,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9866999983787537,"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/latent-variable","display_name":"Latent variable","score":0.6003128290176392},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5707197189331055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5604824423789978},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.550041913986206},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5346760749816895},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5201275944709778},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4983057975769043},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.4899083971977234},{"id":"https://openalex.org/keywords/principal-component-regression","display_name":"Principal component regression","score":0.4817516803741455},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4784819483757019},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4740849733352661},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4589664936065674},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4583970010280609},{"id":"https://openalex.org/keywords/segmented-regression","display_name":"Segmented regression","score":0.4519958794116974},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.45115718245506287},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.45068660378456116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4482038617134094},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4128364324569702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4044874906539917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2998446822166443},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2764190137386322},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26598265767097473},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.2632474899291992}],"concepts":[{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6003128290176392},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5707197189331055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5604824423789978},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.550041913986206},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5346760749816895},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5201275944709778},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4983057975769043},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.4899083971977234},{"id":"https://openalex.org/C74887250","wikidata":"https://www.wikidata.org/wiki/Q3455892","display_name":"Principal component regression","level":3,"score":0.4817516803741455},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4784819483757019},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4740849733352661},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4589664936065674},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4583970010280609},{"id":"https://openalex.org/C35519122","wikidata":"https://www.wikidata.org/wiki/Q3775699","display_name":"Segmented regression","level":4,"score":0.4519958794116974},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.45115718245506287},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45068660378456116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4482038617134094},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4128364324569702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4044874906539917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2998446822166443},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2764190137386322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26598265767097473},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.2632474899291992},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-10520-3_63","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-10520-3_63","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W62477","https://openalex.org/W97083571","https://openalex.org/W1550922062","https://openalex.org/W1561105421","https://openalex.org/W1684948690","https://openalex.org/W2025341678","https://openalex.org/W2042535240","https://openalex.org/W2048903266","https://openalex.org/W2049844434","https://openalex.org/W2079775628","https://openalex.org/W2081660651","https://openalex.org/W2117113028","https://openalex.org/W2130259898","https://openalex.org/W2133533182","https://openalex.org/W2147597023","https://openalex.org/W2152826865","https://openalex.org/W2154727199","https://openalex.org/W2158863190","https://openalex.org/W2160126058","https://openalex.org/W2162267177","https://openalex.org/W2172803778","https://openalex.org/W2237250383","https://openalex.org/W2493402089","https://openalex.org/W2502896360","https://openalex.org/W2541974030","https://openalex.org/W4240385847"],"related_works":["https://openalex.org/W2468593193","https://openalex.org/W2981666789","https://openalex.org/W1966115210","https://openalex.org/W2042294628","https://openalex.org/W4396824786","https://openalex.org/W4229916583","https://openalex.org/W760609589","https://openalex.org/W1582645007","https://openalex.org/W2066772060","https://openalex.org/W2360026486"],"abstract_inverted_index":null,"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
