{"id":"https://openalex.org/W2107636660","doi":"https://doi.org/10.2312/pe/vriphys/vriphys11/073-082","title":"Towards Symmetry Axis based Markerless Motion Capture","display_name":"Towards Symmetry Axis based Markerless Motion Capture","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2107636660","doi":"https://doi.org/10.2312/pe/vriphys/vriphys11/073-082","mag":"2107636660"},"language":"en","primary_location":{"id":"pmh:oai:publica.fraunhofer.de:publica/373079","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/373079","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pe/vriphys/vriphys11/073-082","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059432518","display_name":"Philip Hartmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hartmann, Philip","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090904094","display_name":"Svenja Kahn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kahn, Svenja","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111386940","display_name":"Ulrich Bockholt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bockholt, Ulrich","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5046597105","display_name":"Arjan Kuijper","orcid":"https://orcid.org/0000-0002-6413-0061"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuijper, Arjan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.802748441696167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7532410621643066},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.7057644128799438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6658598780632019},{"id":"https://openalex.org/keywords/symmetry","display_name":"Symmetry (geometry)","score":0.5901088118553162},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.5845659971237183},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5403137803077698},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5041834115982056},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.4834531247615814},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4612393081188202},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4586716592311859},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.42576563358306885},{"id":"https://openalex.org/keywords/human-body-model","display_name":"Human-body model","score":0.4137730002403259},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.1786211133003235},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15672361850738525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15441444516181946}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.802748441696167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7532410621643066},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.7057644128799438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6658598780632019},{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.5901088118553162},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5845659971237183},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5403137803077698},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5041834115982056},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.4834531247615814},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4612393081188202},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4586716592311859},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.42576563358306885},{"id":"https://openalex.org/C2781089380","wikidata":"https://www.wikidata.org/wiki/Q5936753","display_name":"Human-body model","level":2,"score":0.4137730002403259},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.1786211133003235},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15672361850738525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15441444516181946},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:publica.fraunhofer.de:publica/373079","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/373079","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},{"id":"doi:10.2312/pe/vriphys/vriphys11/073-082","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe/vriphys/vriphys11/073-082","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.2312/pe/vriphys/vriphys11/073-082","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe/vriphys/vriphys11/073-082","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W32917455","https://openalex.org/W1484350793","https://openalex.org/W1541185748","https://openalex.org/W1553512048","https://openalex.org/W1571757825","https://openalex.org/W1741230646","https://openalex.org/W1753211532","https://openalex.org/W1992855374","https://openalex.org/W1994508094","https://openalex.org/W1998946997","https://openalex.org/W2043843868","https://openalex.org/W2043977471","https://openalex.org/W2049381231","https://openalex.org/W2062329955","https://openalex.org/W2075918384","https://openalex.org/W2082444128","https://openalex.org/W2097397022","https://openalex.org/W2099244020","https://openalex.org/W2104484606","https://openalex.org/W2128667126","https://openalex.org/W2147297883","https://openalex.org/W2157506695","https://openalex.org/W2172156083","https://openalex.org/W2226523001","https://openalex.org/W2396712510","https://openalex.org/W3159914786"],"related_works":["https://openalex.org/W2070213417","https://openalex.org/W2317155187","https://openalex.org/W2098190380","https://openalex.org/W2160502388","https://openalex.org/W2938158531","https://openalex.org/W3140236450","https://openalex.org/W3175228822","https://openalex.org/W2111255829","https://openalex.org/W2912252300","https://openalex.org/W1561488981","https://openalex.org/W1479711592","https://openalex.org/W2125239883","https://openalex.org/W2136985351","https://openalex.org/W1500854295","https://openalex.org/W1997773243","https://openalex.org/W1593321380","https://openalex.org/W1525555146","https://openalex.org/W2045512591","https://openalex.org/W2088960508","https://openalex.org/W1966803613"],"abstract_inverted_index":{"A":[0],"natural":[1],"interaction":[2],"with":[3,22,36,62,132],"virtual":[4,24],"environments":[5],"is":[6,149],"one":[7],"of":[8,15,33,76,97,106,120,165,173],"the":[9,13,23,31,34,56,77,95,98,103,107,118,121,146,158,163],"key":[10],"issues":[11],"for":[12,151],"usability":[14],"Virtual":[16],"Reality":[17],"applications.":[18],"Device-free,":[19],"intuitive":[20],"interactions":[21],"world":[25],"can":[26,51,155],"be":[27,52],"achieved":[28],"by":[29],"capturing":[30],"movements":[32],"user":[35],"markerless":[37,46],"motion":[38,47],"capture.":[39],"In":[40],"this":[41],"work":[42],"we":[43],"present":[44],"a":[45,63,72,81,90,133,136,166,171],"capture":[48,157],"approach":[49,69,128,148],"which":[50,85,154,169],"used":[53,115],"to":[54,101,116],"estimate":[55,102],"human":[57,99,123],"body":[58,86,100,108],"pose":[59,119],"in":[60,84,124],"real-time":[61],"single":[64],"depth":[65,138,152],"camera.":[66,139],"The":[67,126],"presented":[68,127],"requires":[70],"neither":[71],"3D":[73],"shape":[74],"model":[75],"tracked":[78,122],"person":[79,167],"nor":[80],"training":[82],"phase":[83],"shapes":[87],"are":[88,113],"learned":[89],"priori.":[91],"Instead,":[92],"it":[93],"analyzes":[94],"curvature":[96,160],"symmetry":[104,111],"axes":[105,112],"joints.":[109],"These":[110],"then":[114],"calculate":[117],"real-time.":[125],"was":[129],"evaluated":[130],"qualitatively":[131],"time-of-flight":[134],"and":[135,168],"Kinect":[137],"Furthermore,":[140],"quantitative":[141],"simulation":[142],"results":[143],"show":[144],"that":[145],"proposed":[147],"promising":[150],"cameras":[153],"reliably":[156],"surface":[159],"(and":[161],"thus":[162],"normals)":[164],"have":[170],"resolution":[172],"at":[174],"least":[175],"320x240":[176],"pixel.":[177]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}