{"id":"https://openalex.org/W2040299921","doi":"https://doi.org/10.1109/icip.2012.6466818","title":"Automatic head pose estimation using randomly projected dense SIFT descriptors","display_name":"Automatic head pose estimation using randomly projected dense SIFT descriptors","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2040299921","doi":"https://doi.org/10.1109/icip.2012.6466818","mag":"2040299921"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2012.6466818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6466818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","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/A5054881970","display_name":"Huy Tho Ho","orcid":null},"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":true,"raw_author_name":"Huy Tho Ho","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Maryland, College Park, MD","Department Of Electrical & Computer Engineering, Center for Automation Research, UMIACS, University of Maryland, College Park, 20742, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department Of Electrical & Computer Engineering, Center for Automation Research, UMIACS, University of Maryland, College Park, 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650"},"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":"Rama Chellappa","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Maryland, College Park, MD","Department Of Electrical & Computer Engineering, Center for Automation Research, UMIACS, University of Maryland, College Park, 20742, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department Of Electrical & Computer Engineering, Center for Automation Research, UMIACS, University of Maryland, College Park, 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054881970"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":6.0401,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.96899005,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"153","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9958000183105469,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9690999984741211,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8396754264831543},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7382409572601318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6722503900527954},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6540136933326721},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6285610198974609},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6158701181411743},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6109991669654846},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5888581871986389},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.542507529258728},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4929366111755371},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.4516899883747101},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4475192427635193},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43787938356399536},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.42444276809692383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2499203383922577},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09399271011352539}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8396754264831543},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7382409572601318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6722503900527954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6540136933326721},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6285610198974609},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6158701181411743},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6109991669654846},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5888581871986389},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.542507529258728},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4929366111755371},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.4516899883747101},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4475192427635193},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43787938356399536},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.42444276809692383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2499203383922577},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09399271011352539},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2012.6466818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6466818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1230023165","https://openalex.org/W1969739082","https://openalex.org/W1974167603","https://openalex.org/W2089497633","https://openalex.org/W2096525100","https://openalex.org/W2102210486","https://openalex.org/W2130298105","https://openalex.org/W2131227845","https://openalex.org/W2137226992","https://openalex.org/W2145808141","https://openalex.org/W2148603752","https://openalex.org/W2149382413","https://openalex.org/W2151103935","https://openalex.org/W2172272445","https://openalex.org/W2237250383","https://openalex.org/W2979473749","https://openalex.org/W3097609957","https://openalex.org/W3099514962","https://openalex.org/W4292023222","https://openalex.org/W6628174443","https://openalex.org/W6679370400","https://openalex.org/W6680532697","https://openalex.org/W6685119854","https://openalex.org/W6769341872"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W2049930962"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5,74],"automatic":[6],"method":[7],"for":[8],"determining":[9],"the":[10,31,52,55,78,84,103,110,125,128],"head":[11,79],"pose":[12],"from":[13,40,109],"a":[14,24,28],"given":[15],"face":[16,19,112],"image.":[17],"The":[18,81],"image":[20,32,113],"is":[21,33,47,87],"divided":[22],"into":[23],"regular":[25],"grid":[26,42],"and":[27,61,102],"representation":[29],"of":[30,54,77,83,127],"obtained":[34],"by":[35],"extracting":[36],"dense":[37],"SIFT":[38,57],"descriptors":[39],"its":[41],"points.":[43],"Random":[44],"Projection":[45],"(RP)":[46],"then":[48],"applied":[49],"to":[50,72,106,123],"reduce":[51],"dimension":[53],"concatenated":[56],"descriptor":[58],"vector.":[59],"Classification":[60],"regression":[62],"using":[63],"Support":[64],"Vector":[65],"Machine":[66],"(SVM)":[67],"are":[68,121],"combined":[69],"in":[70,115],"order":[71],"obtain":[73],"accurate":[75],"estimate":[76],"pose.":[80],"advantage":[82],"proposed":[85],"approach":[86],"that":[88],"it":[89],"does":[90],"not":[91],"require":[92],"facial":[93],"feature":[94],"points":[95],"such":[96],"as":[97,114],"eye":[98],"corners,":[99],"mouth":[100],"corners":[101],"nose":[104],"tip":[105],"be":[107],"extracted":[108],"input":[111],"many":[116],"other":[117],"methods.":[118],"Experimental":[119],"results":[120],"presented":[122],"demonstrate":[124],"effectiveness":[126],"approach.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
