{"id":"https://openalex.org/W2084108735","doi":"https://doi.org/10.1145/2407746.2407759","title":"Depth-based real time head pose tracking using 3D template matching","display_name":"Depth-based real time head pose tracking using 3D template matching","publication_year":2012,"publication_date":"2012-11-28","ids":{"openalex":"https://openalex.org/W2084108735","doi":"https://doi.org/10.1145/2407746.2407759","mag":"2084108735"},"language":"en","primary_location":{"id":"doi:10.1145/2407746.2407759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2407746.2407759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2012 Technical Briefs","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/A5036538145","display_name":"Yu Li Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu Tu","raw_affiliation_strings":["National Taiwan University","National Taiwan University > > > > > >"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University > > > > > >","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101725760","display_name":"Hong-Shiang Lin","orcid":"https://orcid.org/0000-0003-4645-6719"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hong-Shiang Lin","raw_affiliation_strings":["National Taiwan University","National Taiwan University > > > > > >"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University > > > > > >","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060076282","display_name":"Tsung-Hua Li","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Hua Li","raw_affiliation_strings":["National Taiwan University","National Taiwan University > > > > > >"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University > > > > > >","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077508678","display_name":"Ming Ouhyoung","orcid":"https://orcid.org/0000-0002-3038-6958"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming Ouhyoung","raw_affiliation_strings":["National Taiwan University","National Taiwan University > > > > > >"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University > > > > > >","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036538145"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58987819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/computer-science","display_name":"Computer science","score":0.8042201995849609},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7681448459625244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7203572988510132},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6917188167572021},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6012170314788818},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5607762932777405},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5505561828613281},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5387197136878967},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5181747674942017},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5160133838653564},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.42221543192863464},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4154207706451416},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.41142329573631287},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2764838933944702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09004750847816467}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8042201995849609},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7681448459625244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7203572988510132},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6917188167572021},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6012170314788818},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5607762932777405},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5505561828613281},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5387197136878967},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5181747674942017},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5160133838653564},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.42221543192863464},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4154207706451416},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.41142329573631287},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2764838933944702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09004750847816467},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2407746.2407759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2407746.2407759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2012 Technical Briefs","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1492651331","https://openalex.org/W1643185111","https://openalex.org/W1945366407","https://openalex.org/W1948353611","https://openalex.org/W1974744233","https://openalex.org/W1992187125","https://openalex.org/W2012928704","https://openalex.org/W2127661044","https://openalex.org/W2131146434","https://openalex.org/W2136548002","https://openalex.org/W2137104937","https://openalex.org/W2145808141","https://openalex.org/W2148381543","https://openalex.org/W2149382413","https://openalex.org/W2151782086","https://openalex.org/W2151802865","https://openalex.org/W2169965057","https://openalex.org/W2543025677","https://openalex.org/W2616465717","https://openalex.org/W3136489197","https://openalex.org/W3143763605"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W4320086129","https://openalex.org/W2885114961"],"abstract_inverted_index":{"In":[0],"this":[1,91],"paper,":[2],"we":[3],"propose":[4],"a":[5,39,55],"system":[6,79],"to":[7],"estimate":[8],"head":[9,113],"poses":[10],"only":[11,74],"using":[12],"depth":[13,57,70,125],"information":[14],"in":[15,101,116],"real-time.":[16],"An":[17],"optimization":[18],"method":[19,43],"based":[20],"on":[21],"3D":[22,117],"model":[23],"fitting":[24],"is":[25],"developed.":[26],"We":[27,53,105],"iteratively":[28],"minimize":[29],"the":[30,50,69,73,88,96,102],"distance":[31],"between":[32],"source":[33],"and":[34,67],"target":[35],"point":[36],"clouds":[37],"of":[38,90,98,110],"user's":[40],"head.":[41],"The":[42],"give":[44],"fully":[45],"real-time":[46,112],"responses":[47],"(30fps)":[48],"without":[49],"GPU":[51],"speedup.":[52],"adopt":[54],"commodity":[56],"sensor":[58],"named":[59],"Microsoft":[60],"Kinect":[61],"as":[62,64,72],"well":[63],"Asus":[65],"Xtion,":[66],"use":[68],"image":[71],"input":[75],"so":[76],"that":[77,107],"our":[78],"will":[80],"not":[81],"be":[82,120],"affected":[83],"by":[84],"illumination":[85],"variations.":[86],"However,":[87],"simplicity":[89],"acquisition":[92],"device":[93],"comes":[94],"at":[95],"cost":[97],"frequent":[99],"noises":[100],"acquired":[103],"data.":[104,126],"demonstrate":[106],"6":[108],"degrees":[109],"freedom":[111],"motion":[114],"tracking":[115],"space":[118],"can":[119],"achieved":[121],"with":[122],"such":[123],"noisy":[124]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
