{"id":"https://openalex.org/W2149022877","doi":"https://doi.org/10.1109/robot.2008.4543332","title":"Fast 3D reconstruction of human shape and motion tracking by parallel fast level set method","display_name":"Fast 3D reconstruction of human shape and motion tracking by parallel fast level set method","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2149022877","doi":"https://doi.org/10.1109/robot.2008.4543332","mag":"2149022877"},"language":"en","primary_location":{"id":"doi:10.1109/robot.2008.4543332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2008.4543332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Robotics and Automation","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/A5047624385","display_name":"Yumi Iwashita","orcid":"https://orcid.org/0000-0001-8931-0571"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yumi Iwashita","raw_affiliation_strings":["Graduate School of Information Science and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Electrical Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073445963","display_name":"Ryo Kurazume","orcid":"https://orcid.org/0000-0002-4219-7644"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryo Kurazume","raw_affiliation_strings":["Graduate School of Information Science and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Electrical Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102983401","display_name":"Kenji Hara","orcid":"https://orcid.org/0000-0003-1649-1046"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenji Hara","raw_affiliation_strings":["Graduate School of Design"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Design","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051387162","display_name":"Seiichi Uchida","orcid":"https://orcid.org/0000-0001-8592-7566"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seiichi Uchida","raw_affiliation_strings":["Graduate School of Information Science and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Electrical Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052323075","display_name":"Ken\u2019ichi Morooka","orcid":"https://orcid.org/0000-0002-3308-6803"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ken'ichi Morooka","raw_affiliation_strings":["Digital Medicine Initiative, Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Medicine Initiative, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048493630","display_name":"Tsutomu Hasegawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsutomu Hasegawa","raw_affiliation_strings":["Graduate School of Information Science and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Electrical Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":null,"first_page":"980","last_page":"986"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.996999979019165,"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-science","display_name":"Computer science","score":0.7355138063430786},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6252142190933228},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5956466794013977},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.5703850984573364},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.5202680826187134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5110803842544556},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5091790556907654},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4927716553211212},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.49213308095932007},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.46932265162467957},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.459975004196167},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.42426079511642456},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.42367109656333923},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.4170600175857544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36469846963882446},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2974177598953247},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29093268513679504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18407580256462097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7355138063430786},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6252142190933228},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5956466794013977},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.5703850984573364},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.5202680826187134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5110803842544556},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5091790556907654},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4927716553211212},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.49213308095932007},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.46932265162467957},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.459975004196167},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42426079511642456},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.42367109656333923},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4170600175857544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36469846963882446},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2974177598953247},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29093268513679504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18407580256462097},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/robot.2008.4543332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2008.4543332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.329.7311","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.7311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://fortune.ait.kyushu-u.ac.jp/~yumi/pdf/ICRA08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1532903863","https://openalex.org/W1786660833","https://openalex.org/W1999244633","https://openalex.org/W2042418341","https://openalex.org/W2056528953","https://openalex.org/W2063366997","https://openalex.org/W2080731801","https://openalex.org/W2099266232","https://openalex.org/W2110432750","https://openalex.org/W2113815908","https://openalex.org/W2117007522","https://openalex.org/W2125628462","https://openalex.org/W2146475084","https://openalex.org/W2148275720","https://openalex.org/W2153903029","https://openalex.org/W2160291759","https://openalex.org/W2168545424","https://openalex.org/W4246266500"],"related_works":["https://openalex.org/W2367921179","https://openalex.org/W657288383","https://openalex.org/W3080476861","https://openalex.org/W3196329781","https://openalex.org/W2098360446","https://openalex.org/W1980083116","https://openalex.org/W2233054077","https://openalex.org/W1966783661","https://openalex.org/W2122184585","https://openalex.org/W2223158884"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,78,83,98,112],"parallel":[4],"algorithm":[5,39],"of":[6,25,40,116,123,126,140,167],"the":[7,12,41,72,121,132,138,141,147,157,162,177],"Level":[8,15,32,42,74,143],"Set":[9,16,33,43,75,144],"Method":[10,34,44,76],"named":[11],"Parallel":[13],"Fast":[14,31,73,142],"Method,":[17,145],"and":[18,28,45,59,81,103,146,153,161,171],"its":[19],"application":[20],"for":[21,88],"real-time":[22,84],"3D":[23,60],"reconstruction":[24,62,170],"human":[26,168],"shape":[27,61,169],"motion.":[29],"The":[30],"is":[35,135,151],"an":[36],"efficient":[37,101],"implementation":[38],"has":[46],"been":[47],"applied":[48],"to":[49,156],"several":[50],"applications":[51],"such":[52],"as":[53],"object":[54,127],"tracking":[55],"in":[56,137],"video":[57],"images":[58],"using":[63,176],"multiple":[64],"stereo":[65],"cameras.":[66],"In":[67,129],"this":[68,130],"paper,":[69],"we":[70],"implement":[71],"on":[77,97,120],"PC":[79,99],"cluster":[80],"develop":[82,111],"motion":[85,134,160],"capture":[86],"system":[87,179],"arbitrary":[89,172],"viewpoint":[90,173],"image":[91,174],"synthesis.":[92],"To":[93],"obtain":[94],"high":[95],"performance":[96],"cluster,":[100],"load-balancing":[102],"resource":[104],"allocation":[105],"algorithms":[106],"are":[107,180],"crucial":[108],"problems.":[109],"We":[110],"novel":[113],"optimization":[114],"technique":[115],"load":[117,149,164],"distribution":[118,150],"based":[119],"estimation":[122],"moving":[124],"direction":[125],"boundaries.":[128],"technique,":[131],"boundary":[133,159],"estimated":[136,158],"framework":[139],"optimum":[148],"predicted":[152],"performed":[154],"according":[155],"current":[163],"balance.":[165],"Experiments":[166],"synthesis":[175],"proposed":[178],"successfully":[181],"carried":[182],"out.":[183]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
