{"id":"https://openalex.org/W2810285540","doi":"https://doi.org/10.1145/3197768.3197791","title":"A Comparative Study of Matrix Completion and Recovery Techniques for Human Pose Estimation","display_name":"A Comparative Study of Matrix Completion and Recovery Techniques for Human Pose Estimation","publication_year":2018,"publication_date":"2018-06-26","ids":{"openalex":"https://openalex.org/W2810285540","doi":"https://doi.org/10.1145/3197768.3197791","mag":"2810285540"},"language":"en","primary_location":{"id":"doi:10.1145/3197768.3197791","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3197768.3197791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference","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/A5080139837","display_name":"Dennis Bautembach","orcid":"https://orcid.org/0000-0002-8596-3636"},"institutions":[{"id":"https://openalex.org/I142617266","display_name":"University of Crete","ror":"https://ror.org/00dr28g20","country_code":"GR","type":"education","lineage":["https://openalex.org/I142617266"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CZ","GR"],"is_corresponding":false,"raw_author_name":"Dennis Bautembach","raw_affiliation_strings":["Institute of Computer Science, FORTH, Computer Science Department, University of Crete"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, FORTH, Computer Science Department, University of Crete","institution_ids":["https://openalex.org/I142617266","https://openalex.org/I4210155092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041114689","display_name":"Iason Oikonomidis","orcid":"https://orcid.org/0000-0002-9503-3723"},"institutions":[{"id":"https://openalex.org/I4210121775","display_name":"FORTH Institute of Computer Science","ror":"https://ror.org/02tf48g55","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210121775","https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Iason Oikonomidis","raw_affiliation_strings":["Institute of Computer Science, FORTH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, FORTH","institution_ids":["https://openalex.org/I4210121775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023467254","display_name":"Antonis Argyros","orcid":"https://orcid.org/0000-0001-8230-3192"},"institutions":[{"id":"https://openalex.org/I142617266","display_name":"University of Crete","ror":"https://ror.org/00dr28g20","country_code":"GR","type":"education","lineage":["https://openalex.org/I142617266"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["CZ","FR","GR"],"is_corresponding":false,"raw_author_name":"Antonis Argyros","raw_affiliation_strings":["Computer Science Department, University of Crete, Institute of Computer Science, FORTH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Crete, Institute of Computer Science, FORTH","institution_ids":["https://openalex.org/I4210156583","https://openalex.org/I142617266","https://openalex.org/I4210155092"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.212,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.54855156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9930999875068665,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/matrix-completion","display_name":"Matrix completion","score":0.8232300281524658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7221496105194092},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6980710029602051},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6085906624794006},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.6056737899780273},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5638339519500732},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5558204650878906},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.545973002910614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5199362635612488},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4388429820537567},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38512304425239563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38480085134506226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37442049384117126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36073732376098633},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10418134927749634},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08769214153289795}],"concepts":[{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.8232300281524658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7221496105194092},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6980710029602051},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6085906624794006},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6056737899780273},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5638339519500732},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5558204650878906},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.545973002910614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5199362635612488},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4388429820537567},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38512304425239563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38480085134506226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37442049384117126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36073732376098633},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10418134927749634},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08769214153289795},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3197768.3197791","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3197768.3197791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6015493335","display_name":null,"funder_award_id":"Co4Robots, ACANTO","funder_id":"https://openalex.org/F4320333069","funder_display_name":"Fourth Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320333069","display_name":"Fourth Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W21906493","https://openalex.org/W1539279955","https://openalex.org/W1633557510","https://openalex.org/W1702419847","https://openalex.org/W1736339626","https://openalex.org/W1927298993","https://openalex.org/W1928739709","https://openalex.org/W1993267444","https://openalex.org/W2072974424","https://openalex.org/W2075156252","https://openalex.org/W2080873731","https://openalex.org/W2086509056","https://openalex.org/W2090110089","https://openalex.org/W2103015390","https://openalex.org/W2114663654","https://openalex.org/W2130399002","https://openalex.org/W2137940226","https://openalex.org/W2168415715","https://openalex.org/W2172156083","https://openalex.org/W2218414108","https://openalex.org/W2227547437","https://openalex.org/W2302727884","https://openalex.org/W2330914857","https://openalex.org/W2342006632","https://openalex.org/W2348221703","https://openalex.org/W2382036597","https://openalex.org/W2404595106","https://openalex.org/W2466332079","https://openalex.org/W2554247908","https://openalex.org/W2557698284","https://openalex.org/W2559085405","https://openalex.org/W2566741951","https://openalex.org/W2611328865","https://openalex.org/W2611932403","https://openalex.org/W2621133069","https://openalex.org/W2716174519","https://openalex.org/W2756050327","https://openalex.org/W2768683308","https://openalex.org/W2776768244","https://openalex.org/W2892492239","https://openalex.org/W2917252586","https://openalex.org/W2919115771","https://openalex.org/W2950762923","https://openalex.org/W2963119249","https://openalex.org/W2963515833","https://openalex.org/W2963592930","https://openalex.org/W3104577407"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W3171829319","https://openalex.org/W3213413335","https://openalex.org/W3152273675"],"abstract_inverted_index":{"We":[0,98,123],"present":[1],"a":[2,61,65,87],"comparative":[3],"study":[4],"of":[5,16,67,86,102,108,112,131],"three":[6,103],"matrix":[7],"completion":[8,71],"and":[9,72,80],"recovery":[10,73],"techniques,":[11],"applied":[12],"to":[13,32,43],"the":[14,45,50,77,90,100,109,132],"problem":[15],"human":[17],"pose":[18,21],"estimation.":[19],"Human":[20],"estimation":[22,26,110],"algorithms":[23],"may":[24,29],"exhibit":[25],"noise":[27],"or":[28,58],"completely":[30],"fail":[31],"provide":[33],"estimates":[34],"for":[35,129],"some":[36],"joints.":[37],"A":[38],"post-process":[39],"is":[40],"often":[41],"employed":[42],"recover":[44],"missing":[46,84],"joints'":[47],"locations":[48],"from":[49,64],"available":[51],"ones,":[52],"typically":[53],"by":[54,59,82,96,125],"enforcing":[55],"kinematic":[56],"constraints":[57],"using":[60],"prior":[62],"learned":[63],"database":[66],"natural":[68],"poses.":[69],"Matrix":[70],"techniques":[74,105],"fall":[75],"into":[76],"latter":[78],"category":[79],"operate":[81],"filling-in":[83],"entries":[85,92],"matrix,":[88],"with":[89],"available/non-missing":[91],"being":[93],"potentially":[94],"corrupted":[95],"noise.":[97],"compare":[99],"performance":[101],"such":[104],"in":[106],"terms":[107],"error":[111],"their":[113,118],"output":[114],"as":[115,117],"well":[116],"runtime":[119],"under":[120],"varying":[121],"parameters.":[122],"conclude":[124],"recommending":[126],"use":[127],"cases":[128],"each":[130],"compared":[133],"techniques.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}