{"id":"https://openalex.org/W2922270057","doi":"https://doi.org/10.23919/apsipa.2018.8659679","title":"MOCAP signal interpolation using low-rank matrix recovery","display_name":"MOCAP signal interpolation using low-rank matrix recovery","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2922270057","doi":"https://doi.org/10.23919/apsipa.2018.8659679","mag":"2922270057"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659679","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5007055745","display_name":"Ryuji Imamura","orcid":null},"institutions":[{"id":"https://openalex.org/I17056963","display_name":"The University of Kitakyushu","ror":"https://ror.org/03mfefw72","country_code":"JP","type":"education","lineage":["https://openalex.org/I17056963"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryuji Imamura","raw_affiliation_strings":["Kitakyushu Shiritsu Daigaku, Kitakyushu, Fukuoka, JP"],"affiliations":[{"raw_affiliation_string":"Kitakyushu Shiritsu Daigaku, Kitakyushu, Fukuoka, JP","institution_ids":["https://openalex.org/I17056963"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025207272","display_name":"Masahiro Okuda","orcid":"https://orcid.org/0000-0002-3245-2672"},"institutions":[{"id":"https://openalex.org/I17056963","display_name":"The University of Kitakyushu","ror":"https://ror.org/03mfefw72","country_code":"JP","type":"education","lineage":["https://openalex.org/I17056963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Okuda","raw_affiliation_strings":["University of Kitakyushu, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"University of Kitakyushu, Fukuoka, Japan","institution_ids":["https://openalex.org/I17056963"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007055745"],"corresponding_institution_ids":["https://openalex.org/I17056963"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.20702853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"871","last_page":"874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9980000257492065,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9968000054359436,"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/acceleration","display_name":"Acceleration","score":0.6431419849395752},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.630516529083252},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.5807784199714661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5731325149536133},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5584311485290527},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5527721643447876},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5423636436462402},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.539105236530304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4873993992805481},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47877705097198486},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.43934184312820435},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.4347879886627197},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43396061658859253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3413669764995575},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.258286714553833},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14415356516838074},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07882702350616455}],"concepts":[{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6431419849395752},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.630516529083252},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.5807784199714661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5731325149536133},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5584311485290527},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5527721643447876},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5423636436462402},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.539105236530304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4873993992805481},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47877705097198486},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.43934184312820435},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.4347879886627197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43396061658859253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3413669764995575},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.258286714553833},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14415356516838074},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07882702350616455},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659679","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.800000011920929,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W564195451","https://openalex.org/W1736339626","https://openalex.org/W1969698720","https://openalex.org/W1986661373","https://openalex.org/W2006761437","https://openalex.org/W2027801633","https://openalex.org/W2052415866","https://openalex.org/W2060970792","https://openalex.org/W2113148808","https://openalex.org/W2119350939","https://openalex.org/W2160194549","https://openalex.org/W2163178057","https://openalex.org/W2187153638","https://openalex.org/W2233376955","https://openalex.org/W2362586938","https://openalex.org/W2600509566","https://openalex.org/W2611328865","https://openalex.org/W6684105909","https://openalex.org/W6687102498"],"related_works":["https://openalex.org/W4221157149","https://openalex.org/W4283122425","https://openalex.org/W2057590040","https://openalex.org/W3135513863","https://openalex.org/W1991825408","https://openalex.org/W1507830821","https://openalex.org/W2969889343","https://openalex.org/W4306936641","https://openalex.org/W1621084367","https://openalex.org/W2408897693"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,14,58,71],"new":[3],"regularization":[4,86],"method":[5,102],"for":[6,29],"3D":[7],"MOCAP":[8,15,47,104],"(Motion":[9],"Capture)":[10],"signal":[11,16,48,105],"restoration.":[12],"As":[13],"restoration":[17,106],"method,":[18],"methods":[19],"considering":[20],"low-rankness":[21],"and":[22,69,114],"smoothness":[23,40],"or":[24],"Truncated":[25],"Nuclear":[26],"Norm":[27],"(TrNN)":[28],"low-rank":[30],"approximation":[31],"have":[32],"been":[33],"proposed.":[34],"However,":[35],"with":[36,107],"these":[37],"methods,":[38],"the":[39,42,46,57,70,75,85,89,93,111,117,122],"in":[41,92,110],"time":[43,94,112],"direction":[44,113],"of":[45,63],"cannot":[49],"be":[50],"sufficiently":[51],"restored.":[52],"In":[53,96],"this":[54,101],"study,":[55],"from":[56],"priori":[59,72],"knowledge":[60,73],"that":[61,74,116],"many":[62],"human":[64],"movements":[65],"involve":[66],"smooth":[67],"acceleration/deceleration":[68,76],"patterns":[77],"are":[78],"similar":[79],"among":[80],"related":[81],"joints,":[82],"we":[83,99],"introduce":[84],"based":[87],"on":[88],"second-order":[90],"differentiation":[91],"direction.":[95],"numerical":[97],"experiments,":[98],"apply":[100],"to":[103,121],"continuous":[108],"missing":[109],"show":[115],"performance":[118],"is":[119],"superior":[120],"conventional":[123],"methods.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-02-26T08:16:20.718346","created_date":"2025-10-10T00:00:00"}
