{"id":"https://openalex.org/W2902882139","doi":"https://doi.org/10.1109/icpr.2018.8545460","title":"Local Regression Based Hourglass Network for Hand Pose Estimation from a Single Depth Image","display_name":"Local Regression Based Hourglass Network for Hand Pose Estimation from a Single Depth Image","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902882139","doi":"https://doi.org/10.1109/icpr.2018.8545460","mag":"2902882139"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059344854","display_name":"Jia Li","orcid":"https://orcid.org/0000-0002-4346-8696"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Li","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103123751","display_name":"Zengfu Wang","orcid":"https://orcid.org/0000-0003-1859-900X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengfu Wang","raw_affiliation_strings":["Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"108","issue":null,"first_page":"1767","last_page":"1772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/hourglass","display_name":"Hourglass","score":0.9461812376976013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7531081438064575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7403679490089417},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.7049382925033569},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6903819441795349},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.676378607749939},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5267407298088074},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5183575749397278},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49386054277420044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45156198740005493},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4176706373691559},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14990347623825073},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13777968287467957}],"concepts":[{"id":"https://openalex.org/C127532173","wikidata":"https://www.wikidata.org/wiki/Q179904","display_name":"Hourglass","level":2,"score":0.9461812376976013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7531081438064575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7403679490089417},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.7049382925033569},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6903819441795349},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.676378607749939},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5267407298088074},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5183575749397278},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49386054277420044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45156198740005493},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4176706373691559},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14990347623825073},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13777968287467957},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1702419847","https://openalex.org/W1836465849","https://openalex.org/W2075156252","https://openalex.org/W2110619642","https://openalex.org/W2134538062","https://openalex.org/W2137940226","https://openalex.org/W2194775991","https://openalex.org/W2210697964","https://openalex.org/W2214145768","https://openalex.org/W2307770531","https://openalex.org/W2407277412","https://openalex.org/W2466381304","https://openalex.org/W2587626861","https://openalex.org/W2593707335","https://openalex.org/W2605462541","https://openalex.org/W2613718673","https://openalex.org/W2962811204","https://openalex.org/W2963119249","https://openalex.org/W2963488642","https://openalex.org/W2963613382","https://openalex.org/W2964121744","https://openalex.org/W2964350391","https://openalex.org/W3105217837","https://openalex.org/W6620707391","https://openalex.org/W6638667902","https://openalex.org/W6694260854","https://openalex.org/W6697925102"],"related_works":["https://openalex.org/W2008001194","https://openalex.org/W2512390310","https://openalex.org/W2059645356","https://openalex.org/W3141841835","https://openalex.org/W3139354174","https://openalex.org/W4379932926","https://openalex.org/W3209856089","https://openalex.org/W3016755410","https://openalex.org/W4384787011","https://openalex.org/W2172272445"],"abstract_inverted_index":{"Hand":[0],"pose":[1,68],"estimation":[2,187],"plays":[3],"an":[4,52,150],"important":[5],"role":[6],"in":[7,32,72],"many":[8],"applications":[9],"such":[10],"as":[11],"human-computer":[12],"interaction.":[13],"With":[14],"the":[15,22,37,66,70,87,90,97,105,112,119,131,137,140,143,154,163,183],"advent":[16],"of":[17,24,41,69,86,92,126,139,186],"commodity":[18],"depth":[19,74],"sensors":[20],"and":[21,39,103,115,142,182],"developments":[23],"deep":[25],"learning,":[26],"noticeable":[27],"improvements":[28],"have":[29],"been":[30],"made":[31],"this":[33,48],"field":[34],"recently.":[35],"Nevertheless,":[36],"accuracy":[38],"robustness":[40],"existing":[42],"approaches":[43],"are":[44],"still":[45],"dissatisfying.":[46],"In":[47],"paper,":[49],"we":[50,95,110,123],"propose":[51],"end-to-end":[53],"local":[54],"regression":[55,113],"based":[56],"hourglass":[57,81],"network":[58,141],"with":[59],"a":[60,73,78,166,179],"modified":[61],"loss":[62,128,144],"function":[63,145],"to":[64,83,118,149,162,190],"estimate":[65],"3D":[67],"hand":[71],"image.":[75],"We":[76],"use":[77],"third":[79],"order":[80],"block":[82],"extract":[84],"features":[85],"hand.":[88],"At":[89],"top":[91],"our":[93],"network,":[94],"slice":[96],"feature":[98],"map":[99],"into":[100],"several":[101],"regions":[102,106],"regress":[104],"independently":[107],"first.":[108],"Then,":[109],"merge":[111],"results":[114,134],"feed":[116],"them":[117],"final":[120],"regressor.":[121],"Besides,":[122],"compare":[124],"performances":[125],"different":[127],"functions":[129],"for":[130],"task.":[132],"The":[133],"indicate":[135],"that":[136],"structure":[138],"designed":[146],"here":[147],"lead":[148],"obvious":[151],"improvement.":[152],"And":[153],"proposed":[155],"approach":[156],"is":[157,188],"comparable":[158],"to,":[159],"or":[160],"superior":[161],"state-of-the-art":[164],"on":[165,178],"public":[167],"challenging":[168],"dataset.":[169],"Our":[170],"system":[171],"can":[172],"run":[173],"at":[174],"over":[175],"910":[176],"FPS":[177],"single":[180],"GPU,":[181],"mean":[184],"error":[185],"reduced":[189],"12.36":[191],"mm.":[192]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}