{"id":"https://openalex.org/W2402725670","doi":"https://doi.org/10.1049/iet-cvi.2015.0242","title":"Kernel locality\u2010constrained sparse coding for head pose estimation","display_name":"Kernel locality\u2010constrained sparse coding for head pose estimation","publication_year":2016,"publication_date":"2016-05-20","ids":{"openalex":"https://openalex.org/W2402725670","doi":"https://doi.org/10.1049/iet-cvi.2015.0242","mag":"2402725670"},"language":"en","primary_location":{"id":"doi:10.1049/iet-cvi.2015.0242","doi":"https://doi.org/10.1049/iet-cvi.2015.0242","is_oa":false,"landing_page_url":"https://doi.org/10.1049/iet-cvi.2015.0242","pdf_url":null,"source":{"id":"https://openalex.org/S166929102","display_name":"IET Computer Vision","issn_l":"1751-9632","issn":["1751-9632","1751-9640"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-c","cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Computer Vision","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"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/A5004082294","display_name":"Hyunduk Kim","orcid":"https://orcid.org/0000-0002-3901-1327","observed_orcids":["https://orcid.org/0000-0002-3901-1327"]},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunduk Kim","raw_affiliation_strings":["Department of IoT and Robotics Convergence Research, DGIST, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IoT and Robotics Convergence Research, DGIST, Daegu, Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024679227","display_name":"Myoung\u2010Kyu Sohn","orcid":"https://orcid.org/0000-0002-1393-7818","observed_orcids":["https://orcid.org/0000-0002-1393-7818"]},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myoung\u2010Kyu Sohn","raw_affiliation_strings":["Department of IoT and Robotics Convergence Research, DGIST, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IoT and Robotics Convergence Research, DGIST, Daegu, Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038019752","display_name":"Dong\u2010Ju Kim","orcid":"https://orcid.org/0000-0003-1836-2977","observed_orcids":["https://orcid.org/0000-0003-1836-2977"]},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong\u2010Ju Kim","raw_affiliation_strings":["Department of IoT and Robotics Convergence Research, DGIST, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IoT and Robotics Convergence Research, DGIST, Daegu, Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100653535","display_name":"Sang\u2010Heon Lee","orcid":"https://orcid.org/0000-0002-3655-7981","observed_orcids":["https://orcid.org/0000-0002-3655-7981","https://orcid.org/0009-0000-2345-5858","https://orcid.org/0000-0002-7400-9564"]},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sang\u2010Heon Lee","raw_affiliation_strings":["Department of IoT and Robotics Convergence Research, DGIST, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IoT and Robotics Convergence Research, DGIST, Daegu, Korea","institution_ids":["https://openalex.org/I193352282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100653535"],"corresponding_institution_ids":["https://openalex.org/I193352282"],"apc_list":{"value":2510,"currency":"USD","value_usd":2510},"apc_paid":null,"fwci":0.6383,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71357315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"10","issue":"8","first_page":"828","last_page":"835"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.6664999723434448,"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":0.6664999723434448,"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":0.2207999974489212,"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":0.03779999911785126,"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/head-pose-estimation","display_name":"head pose estimation","score":0.9769999980926514},{"id":"https://openalex.org/keywords/sparse-coding","display_name":"sparse coding","score":0.8399999737739563},{"id":"https://openalex.org/keywords/locality-constrained-linear-coding","display_name":"locality-constrained linear coding","score":0.9520000219345093},{"id":"https://openalex.org/keywords/kernel-methods","display_name":"kernel methods","score":0.9779999852180481},{"id":"https://openalex.org/keywords/feature-encoding","display_name":"feature encoding","score":0.7860000133514404},{"id":"https://openalex.org/keywords/kernel-feature-space","display_name":"kernel feature space","score":0.7269999980926514}],"concepts":[{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.7559705376625061},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661013126373291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6486189365386963},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5962400436401367},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.562523603439331},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5616658926010132},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5556374788284302},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.47517603635787964},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.45372653007507324},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4423861801624298},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3724795877933502},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3570566177368164},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2988443672657013},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12612369656562805},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1049/iet-cvi.2015.0242","doi":"https://doi.org/10.1049/iet-cvi.2015.0242","is_oa":false,"landing_page_url":"https://doi.org/10.1049/iet-cvi.2015.0242","pdf_url":null,"source":{"id":"https://openalex.org/S166929102","display_name":"IET Computer Vision","issn_l":"1751-9632","issn":["1751-9632","1751-9640"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-c","cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6fbc104930534792bd0cb5cd9424d04b","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/6fbc104930534792bd0cb5cd9424d04b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IET Computer Vision, Vol 10, Iss 8, Pp 828-835 (2016)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322006","display_name":"Ministry of Culture, Sports and Tourism","ror":"https://ror.org/02fkk6k65"},{"id":"https://openalex.org/F4320323890","display_name":"Korea Creative Content Agency","ror":"https://ror.org/036vyg793"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1608287351","https://openalex.org/W1969560868","https://openalex.org/W1969739082","https://openalex.org/W1974744233","https://openalex.org/W2006902452","https://openalex.org/W2017214807","https://openalex.org/W2017909532","https://openalex.org/W2027922120","https://openalex.org/W2043360443","https://openalex.org/W2047291883","https://openalex.org/W2072801637","https://openalex.org/W2080107612","https://openalex.org/W2085390190","https://openalex.org/W2085730440","https://openalex.org/W2089028794","https://openalex.org/W2096027770","https://openalex.org/W2097918186","https://openalex.org/W2126767866","https://openalex.org/W2127661044","https://openalex.org/W2129812935","https://openalex.org/W2139212933","https://openalex.org/W2140095548","https://openalex.org/W2145808141","https://openalex.org/W2149382413","https://openalex.org/W2150796457","https://openalex.org/W2151103935","https://openalex.org/W2156637418","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2169384781","https://openalex.org/W2169696215","https://openalex.org/W2536599074","https://openalex.org/W2543025677","https://openalex.org/W2597289420","https://openalex.org/W3210232381","https://openalex.org/W4243970587","https://openalex.org/W4256035763"],"related_works":["https://openalex.org/W2195375974","https://openalex.org/W1558171043","https://openalex.org/W2047291883","https://openalex.org/W2137858747","https://openalex.org/W2130298105","https://openalex.org/W2213673037","https://openalex.org/W2563840489","https://openalex.org/W1964674436","https://openalex.org/W2017909532","https://openalex.org/W2355144560"],"abstract_inverted_index":{"In":[0,31,79,154],"many":[1],"situations,":[2],"it":[3,65],"would":[4],"be":[5],"practical":[6],"for":[7,42],"a":[8,15,19,37,53,57,128,162],"computer":[9],"system":[10],"user":[11,26],"interface":[12],"to":[13,88,111,161],"have":[14],"model":[16],"of":[17,61,72,102,115,131,175],"where":[18],"person":[20],"is":[21,27,127],"looking":[22],"and":[23,173],"what":[24],"the":[25,34,69,73,76,99,104,113,137,141,145,151,156,170,176],"paying":[28],"attention":[29],"to.":[30],"this":[32],"study,":[33],"authors":[35,105,119,138],"describe":[36],"novel":[38],"feature":[39,77,147],"coding":[40,49,83,109],"method":[41,51],"head":[43,163],"pose":[44,164],"estimation.":[45],"The":[46,118],"widely\u2010used":[47],"sparse":[48,58,108,124],"(SC)":[50],"encodes":[52],"test":[54],"sample":[55],"using":[56,134],"linear":[59,82],"combination":[60],"training":[62],"samples.":[63],"However,":[64],"does":[66],"not":[67],"consider":[68],"underlying":[70],"structure":[71],"data":[74,92,143],"in":[75],"space.":[78],"contrast,":[80],"locality\u2010constrained":[81,107,123],"(LLC)":[84],"utilises":[85],"locality":[86],"constraints":[87],"project":[89],"each":[90],"input":[91,142],"into":[93,144],"its":[94],"local\u2010coordinate":[95],"system.":[96],"Based":[97],"on":[98],"recent":[100],"success":[101],"LLC,":[103],"introduce":[106],"(LSC)":[110],"overcome":[112],"limitation":[114],"Sparse":[116],"Coding.":[117],"also":[120],"propose":[121],"kernel":[122,135,146,152],"coding,":[125],"which":[126],"non\u2010linear":[129],"extension":[130],"LSC.":[132],"By":[133],"tricks,":[136],"implicitly":[139],"map":[140],"space":[148],"associated":[149],"with":[150],"function.":[153],"experiments,":[155],"proposed":[157],"algorithm":[158],"was":[159],"applied":[160],"estimation":[165],"application.":[166],"Experimental":[167],"results":[168],"demonstrated":[169],"increased":[171],"effectiveness":[172],"robustness":[174],"method.":[177]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}