{"id":"https://openalex.org/W2903189966","doi":"https://doi.org/10.1145/3281505.3283393","title":"Random-forest-based initializer for solving inverse problem in 3D motion tracking systems","display_name":"Random-forest-based initializer for solving inverse problem in 3D motion tracking systems","publication_year":2018,"publication_date":"2018-11-28","ids":{"openalex":"https://openalex.org/W2903189966","doi":"https://doi.org/10.1145/3281505.3283393","mag":"2903189966"},"language":"en","primary_location":{"id":"doi:10.1145/3281505.3283393","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3281505.3283393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology","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/A5014830158","display_name":"Ryo Sugawara","orcid":"https://orcid.org/0000-0003-3824-6682"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryo Sugawara","raw_affiliation_strings":["Tohoku University, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100601282","display_name":"Jiawei Huang","orcid":"https://orcid.org/0000-0001-7670-2971"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiawei Huang","raw_affiliation_strings":["Tohoku University, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052000885","display_name":"Kazuki Takashima","orcid":"https://orcid.org/0000-0002-1020-5750"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Takashima","raw_affiliation_strings":["Tohoku University, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014324841","display_name":"Taku Komura","orcid":"https://orcid.org/0000-0002-2729-5860"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Taku Komura","raw_affiliation_strings":["University of Edinburgh, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006797047","display_name":"Yoshifumi Kitarmura","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshifumi Kitarmura","raw_affiliation_strings":["Tohoku University, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014830158"],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14291912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9957000017166138,"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"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9957000017166138,"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"}},{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/tracking","display_name":"Tracking (education)","score":0.6668144464492798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6120592355728149},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5302759408950806},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48087528347969055},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4793285131454468},{"id":"https://openalex.org/keywords/initial-value-problem","display_name":"Initial value problem","score":0.45769792795181274},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.45605960488319397},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4151933789253235},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3690587878227234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2746928930282593}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6668144464492798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6120592355728149},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5302759408950806},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48087528347969055},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4793285131454468},{"id":"https://openalex.org/C26955809","wikidata":"https://www.wikidata.org/wiki/Q10167591","display_name":"Initial value problem","level":2,"score":0.45769792795181274},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.45605960488319397},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4151933789253235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3690587878227234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2746928930282593},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3281505.3283393","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3281505.3283393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2016685556","https://openalex.org/W2021070595","https://openalex.org/W2065676176"],"related_works":["https://openalex.org/W3208095355","https://openalex.org/W2177370417","https://openalex.org/W2052507016","https://openalex.org/W2084086966","https://openalex.org/W2180461068","https://openalex.org/W2051816080","https://openalex.org/W4310813911","https://openalex.org/W2023861399","https://openalex.org/W2156730189","https://openalex.org/W2358962854"],"abstract_inverted_index":{"Many":[0],"motion":[1,19,149],"tracking":[2,11,64,69,150],"systems":[3],"require":[4],"solving":[5,29],"inverse":[6,31,109],"problem":[7,110],"to":[8,37,49,89,101,141],"compute":[9],"the":[10,25,39],"result":[12],"from":[13],"original":[14],"sensor":[15],"measurements.":[16],"For":[17],"real-time":[18,108,146],"tracking,":[20],"such":[21],"typical":[22],"solutions":[23],"as":[24,128],"Gauss-Newton":[26],"method":[27,113],"for":[28,55,60,106,131],"their":[30],"problems":[32],"need":[33],"an":[34,129,135],"initial":[35,53,79,104],"value":[36,54,80],"optimize":[38],"cost":[40],"function":[41],"through":[42],"iterations.":[43],"A":[44],"powerful":[45],"initializer":[46,97,130,140],"is":[47,74,144],"crucial":[48],"generate":[50],"a":[51,95,115,145],"proper":[52,103],"every":[56],"time":[57],"instance":[58],"and,":[59],"achieving":[61],"continuous":[62],"accurate":[63],"without":[65],"errors":[66],"and":[67,85,122,125],"rapid":[68],"recovery":[70],"even":[71],"when":[72],"it":[73,127],"temporally":[75],"interrupted.":[76],"An":[77],"improper":[78],"easily":[81],"causes":[82],"optimization":[83],"divergence,":[84],"cannot":[86],"always":[87],"lead":[88],"reasonable":[90],"solutions.":[91],"Therefore,":[92],"we":[93,137],"propose":[94],"new":[96],"based":[98],"on":[99],"random-forest":[100,116],"obtain":[102],"values":[105],"efficient":[107],"computation.":[111],"Our":[112],"trains":[114],"model":[117],"with":[118,152],"varied":[119],"massive":[120],"inputs":[121],"corresponding":[123],"outputs":[124],"uses":[126],"runtime":[132],"optimization.":[133],"As":[134],"instance,":[136],"apply":[138],"our":[139],"IM3D[1],":[142],"which":[143],"magnetic":[147],"3D":[148],"system":[151],"multiple":[153],"tiny,":[154],"identifiable,":[155],"wireless,":[156],"occlusion-free":[157],"passive":[158],"markers":[159],"(LC":[160],"coils).":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}