{"id":"https://openalex.org/W2022652211","doi":"https://doi.org/10.1109/cvpr.2012.6247979","title":"On partial least squares in head pose estimation: How to simultaneously deal with misalignment","display_name":"On partial least squares in head pose estimation: How to simultaneously deal with misalignment","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2022652211","doi":"https://doi.org/10.1109/cvpr.2012.6247979","mag":"2022652211"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5019991353","display_name":"Murad Al Haj","orcid":null},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. A. Haj","raw_affiliation_strings":["Centre de Visi\u00f3 per Computador Universitat Aut\u00f2noma de Barcelona Bellaterra, Barcelona 08193, Spain#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Visi\u00f3 per Computador Universitat Aut\u00f2noma de Barcelona Bellaterra, Barcelona 08193, Spain#TAB#","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085462015","display_name":"Jordi Gonz\u00e0lez","orcid":"https://orcid.org/0000-0001-8033-0306"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Gonzalez","raw_affiliation_strings":["Centre de Visi\u00f3 per Computador, Universitat Aut\u00f2noma de Barcelona, Bellaterra, Barcelona, Spain","Centre de Visi\u00f3 per Computador Universitat Aut\u00f2noma de Barcelona Bellaterra, Barcelona 08193, Spain#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Visi\u00f3 per Computador, Universitat Aut\u00f2noma de Barcelona, Bellaterra, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]},{"raw_affiliation_string":"Centre de Visi\u00f3 per Computador Universitat Aut\u00f2noma de Barcelona Bellaterra, Barcelona 08193, Spain#TAB#","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111878160","display_name":"L.S. Davis","orcid":"https://orcid.org/0009-0001-1414-8415"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. S. Davis","raw_affiliation_strings":["Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA","Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.2728,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.98591717,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2602","last_page":"2609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.998199999332428,"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":0.998199999332428,"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":0.9973999857902527,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9950000047683716,"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/pose","display_name":"Pose","score":0.845650315284729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7589782476425171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7331127524375916},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6518367528915405},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.6377739906311035},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6159051060676575},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5564179420471191},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.49637991189956665},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.4703785479068756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44512128829956055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2770252823829651},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15328890085220337}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.845650315284729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7589782476425171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7331127524375916},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6518367528915405},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.6377739906311035},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6159051060676575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5564179420471191},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.49637991189956665},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.4703785479068756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44512128829956055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2770252823829651},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15328890085220337},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2012.6247979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.687.5074","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.687.5074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cvpapers.com/papers/1558.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"},{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321505","display_name":"Generalitat de Catalunya","ror":"https://ror.org/01bg62x04"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1492469939","https://openalex.org/W1539100311","https://openalex.org/W1598707800","https://openalex.org/W1734489760","https://openalex.org/W1931059338","https://openalex.org/W1969739082","https://openalex.org/W1974167603","https://openalex.org/W2014744412","https://openalex.org/W2025758641","https://openalex.org/W2030899956","https://openalex.org/W2047291883","https://openalex.org/W2050173620","https://openalex.org/W2079054988","https://openalex.org/W2093329631","https://openalex.org/W2101974252","https://openalex.org/W2118924889","https://openalex.org/W2123514608","https://openalex.org/W2135533176","https://openalex.org/W2139269942","https://openalex.org/W2141047752","https://openalex.org/W2142578527","https://openalex.org/W2146656095","https://openalex.org/W2149382413","https://openalex.org/W2158051493","https://openalex.org/W2158844819","https://openalex.org/W2158863190","https://openalex.org/W2337904331","https://openalex.org/W2912990735","https://openalex.org/W4256035763","https://openalex.org/W6629537090","https://openalex.org/W6632040937","https://openalex.org/W6636026134","https://openalex.org/W6637616170","https://openalex.org/W6680102115","https://openalex.org/W6680508596","https://openalex.org/W6704028418","https://openalex.org/W6950617718"],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W3089306886","https://openalex.org/W2113785214","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W4387967917","https://openalex.org/W4312694060","https://openalex.org/W4386075737","https://openalex.org/W4382141741","https://openalex.org/W2951583186"],"abstract_inverted_index":{"Head":[0],"pose":[1,29,39,71],"estimation":[2,102],"is":[3,40],"a":[4,60,108],"critical":[5],"problem":[6,76,103],"in":[7],"many":[8],"computer":[9,15],"vision":[10],"applications.":[11],"These":[12],"include":[13],"human":[14],"interaction,":[16],"video":[17],"surveillance,":[18],"face":[19],"and":[20,72,104],"expression":[21],"recognition.":[22],"In":[23],"most":[24],"prior":[25],"work":[26],"on":[27,36,63,100,114],"heads":[28],"estimation,":[30],"the":[31,34,38,48,54,74,89,101,115],"positions":[32],"of":[33,56,80,92],"faces":[35],"which":[37],"to":[41,69,110],"be":[42],"estimated":[43],"are":[44,50,83],"specified":[45],"manually.":[46],"Therefore,":[47],"results":[49,99],"reported":[51],"without":[52],"studying":[53],"effect":[55],"misalignment.":[57],"We":[58],"propose":[59],"method":[61],"based":[62,113],"partial":[64],"least":[65],"squares":[66],"(PLS)":[67],"regression":[68],"estimate":[70],"solve":[73],"alignment":[75],"simultaneously.":[77],"The":[78],"contributions":[79],"this":[81],"paper":[82],"two-fold:":[84],"1)":[85],"we":[86,106],"show":[87],"that":[88],"kernel":[90],"version":[91],"PLS":[93,117],"(kPLS)":[94],"achieves":[95],"better":[96],"than":[97],"state-of-the-art":[98],"2)":[105],"develop":[107],"technique":[109],"reduce":[111],"misalignment":[112],"learned":[116],"factors.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}