{"id":"https://openalex.org/W4312700680","doi":"https://doi.org/10.1109/iros47612.2022.9982265","title":"3D Human Pose Estimation in Weightless Environments Using a Fisheye Camera","display_name":"3D Human Pose Estimation in Weightless Environments Using a Fisheye Camera","publication_year":2022,"publication_date":"2022-10-23","ids":{"openalex":"https://openalex.org/W4312700680","doi":"https://doi.org/10.1109/iros47612.2022.9982265"},"language":"en","primary_location":{"id":"doi:10.1109/iros47612.2022.9982265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9982265","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5030641342","display_name":"Koji Minoda","orcid":"https://orcid.org/0000-0002-8331-1546"},"institutions":[{"id":"https://openalex.org/I13805885","display_name":"Vaughn College of Aeronautics and Technology","ror":"https://ror.org/056e22e24","country_code":"US","type":"education","lineage":["https://openalex.org/I13805885"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Koji Minoda","raw_affiliation_strings":["Artificial Intelligence Laboratory, University of Tokyo,Department of Aeronautics and Astronautics,Tokyo,Japan","Department of Aeronautics and Astronautics, Artificial Intelligence Laboratory, University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Laboratory, University of Tokyo,Department of Aeronautics and Astronautics,Tokyo,Japan","institution_ids":["https://openalex.org/I13805885"]},{"raw_affiliation_string":"Department of Aeronautics and Astronautics, Artificial Intelligence Laboratory, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012762510","display_name":"Takehisa Yairi","orcid":"https://orcid.org/0000-0003-2408-028X"},"institutions":[{"id":"https://openalex.org/I13805885","display_name":"Vaughn College of Aeronautics and Technology","ror":"https://ror.org/056e22e24","country_code":"US","type":"education","lineage":["https://openalex.org/I13805885"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Takehisa Yairi","raw_affiliation_strings":["Artificial Intelligence Laboratory, University of Tokyo,Department of Aeronautics and Astronautics,Tokyo,Japan","Department of Aeronautics and Astronautics, Artificial Intelligence Laboratory, University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Laboratory, University of Tokyo,Department of Aeronautics and Astronautics,Tokyo,Japan","institution_ids":["https://openalex.org/I13805885"]},{"raw_affiliation_string":"Department of Aeronautics and Astronautics, Artificial Intelligence Laboratory, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.177,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52885639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4100","last_page":"4105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9965000152587891,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9957000017166138,"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/computer-vision","display_name":"Computer vision","score":0.7871948480606079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7592912912368774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7254849672317505},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6681589484214783},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.631773829460144},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5191561579704285},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.48151931166648865},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4423849880695343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08075976371765137}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7871948480606079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7592912912368774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254849672317505},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6681589484214783},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.631773829460144},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5191561579704285},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.48151931166648865},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4423849880695343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08075976371765137},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros47612.2022.9982265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9982265","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1938096026","https://openalex.org/W2101032778","https://openalex.org/W2293220651","https://openalex.org/W2612706635","https://openalex.org/W2797184202","https://openalex.org/W2913308533","https://openalex.org/W2916798096","https://openalex.org/W2950548915","https://openalex.org/W2963037989","https://openalex.org/W2963598138","https://openalex.org/W2982627166","https://openalex.org/W2989648550","https://openalex.org/W3004734937","https://openalex.org/W3174776197","https://openalex.org/W3180815863","https://openalex.org/W4288325606","https://openalex.org/W6620707391","https://openalex.org/W6764322716"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4387967917","https://openalex.org/W4386925306","https://openalex.org/W3000714840","https://openalex.org/W4387968151","https://openalex.org/W3132124459","https://openalex.org/W2946083937","https://openalex.org/W2894986065","https://openalex.org/W4299867837"],"abstract_inverted_index":{"Three-dimensional":[0],"(3D)":[1],"human":[2,68,104],"pose":[3,69,107],"estimation":[4,70,108],"is":[5,50,82],"one":[6],"of":[7,34,47,56,91,96,164],"the":[8,21,39,54,93,113,148,161],"most":[9],"basic":[10],"tasks":[11],"for":[12],"human-interacting":[13],"robots.":[14],"Especially":[15],"in":[16,52],"weightless":[17,78],"environments":[18],"such":[19],"as":[20,102],"International":[22],"Space":[23],"Station":[24],"(ISS),":[25],"wherein":[26],"objects":[27],"may":[28],"move":[29],"with":[30,43],"a":[31,41,44,65,73,130],"higher":[32],"degree":[33],"freedom":[35],"compared":[36],"to":[37,128,136,146],"on":[38,86,112],"ground,":[40],"camera":[42,75,126],"wider":[45],"field":[46],"view":[48],"(FOV)":[49],"crucial":[51],"improving":[53],"probability":[55],"capturing":[57],"surrounding":[58],"humans.":[59],"To":[60,119],"this":[61,121],"end,":[62],"we":[63,123],"propose":[64],"learning-based":[66],"3D":[67],"(3D-HPE)":[71],"using":[72,115],"fisheye":[74,98,135,167],"targeted":[76],"at":[77],"environments.":[79],"One":[80],"impediment":[81],"that":[83,155],"3D-HPE":[84],"trained":[85],"existing":[87,103],"datasets":[88,109],"are":[89,110],"incapable":[90],"addressing":[92],"adverse":[94,162],"effects":[95,163],"strong":[97],"distortion":[99],"and":[100,106,166],"weightlessness":[101,165],"detection":[105],"recorded":[111],"ground":[114],"typical":[116],"rectilinear":[117,137],"cameras.":[118],"overcome":[120],"difficulty,":[122],"integrate":[124],"virtual":[125],"projection":[127],"perform":[129],"detected":[131],"human-centered":[132],"undistortion":[133],"from":[134],"images.":[138],"We":[139],"also":[140],"include":[141],"upside-down":[142],"augmentation":[143],"during":[144],"training":[145],"improve":[147],"performance":[149],"toward":[150],"weightlessness.":[151],"Our":[152],"results":[153],"show":[154],"these":[156],"two":[157],"techniques":[158],"successfully":[159],"mitigate":[160],"distortion.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
