{"id":"https://openalex.org/W2922375402","doi":"https://doi.org/10.5220/0007383605740581","title":"Template based Human Pose and Shape Estimation from a Single RGB-D Image","display_name":"Template based Human Pose and Shape Estimation from a Single RGB-D Image","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2922375402","doi":"https://doi.org/10.5220/0007383605740581","mag":"2922375402"},"language":"en","primary_location":{"id":"doi:10.5220/0007383605740581","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007383605740581","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0007383605740581","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101993984","display_name":"Zhongguo Li","orcid":null},"institutions":[{"id":"https://openalex.org/I1279596006","display_name":"Statistics Sweden","ror":"https://ror.org/05x7wz523","country_code":"SE","type":"government","lineage":["https://openalex.org/I1279596006"]},{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Zhongguo Li","raw_affiliation_strings":["Centre for Mathematical Sciences, Lund University and Sweden, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Mathematical Sciences, Lund University and Sweden, --- Select a Country ---","institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069875065","display_name":"Anders Heyden","orcid":"https://orcid.org/0000-0002-3063-355X"},"institutions":[{"id":"https://openalex.org/I1279596006","display_name":"Statistics Sweden","ror":"https://ror.org/05x7wz523","country_code":"SE","type":"government","lineage":["https://openalex.org/I1279596006"]},{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Anders Heyden","raw_affiliation_strings":["Centre for Mathematical Sciences, Lund University and Sweden, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Mathematical Sciences, Lund University and Sweden, --- Select a Country ---","institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I187531555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026331205","display_name":"Magnus Oskarsson","orcid":"https://orcid.org/0000-0002-1789-8094"},"institutions":[{"id":"https://openalex.org/I1279596006","display_name":"Statistics Sweden","ror":"https://ror.org/05x7wz523","country_code":"SE","type":"government","lineage":["https://openalex.org/I1279596006"]},{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Magnus Oskarsson","raw_affiliation_strings":["Centre for Mathematical Sciences, Lund University and Sweden, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Mathematical Sciences, Lund University and Sweden, --- Select a Country ---","institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I187531555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2744,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.56376478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"574","last_page":"581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9975000023841858,"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":0.9975000023841858,"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":0.977400004863739,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9764000177383423,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7568047046661377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7298340797424316},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7199583053588867},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6635026931762695},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6187583804130554},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.6187545657157898},{"id":"https://openalex.org/keywords/human-body-model","display_name":"Human-body model","score":0.596193253993988},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5793764591217041},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5520713925361633},{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.5120599865913391},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47431397438049316},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.4622933566570282},{"id":"https://openalex.org/keywords/3d-model","display_name":"3d model","score":0.4244725704193115},{"id":"https://openalex.org/keywords/human-body","display_name":"Human body","score":0.4239782691001892},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.399606853723526},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.37848445773124695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22788503766059875}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7568047046661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298340797424316},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7199583053588867},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6635026931762695},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6187583804130554},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.6187545657157898},{"id":"https://openalex.org/C2781089380","wikidata":"https://www.wikidata.org/wiki/Q5936753","display_name":"Human-body model","level":2,"score":0.596193253993988},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5793764591217041},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5520713925361633},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.5120599865913391},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47431397438049316},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.4622933566570282},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.4244725704193115},{"id":"https://openalex.org/C193293595","wikidata":"https://www.wikidata.org/wiki/Q23852","display_name":"Human body","level":2,"score":0.4239782691001892},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.399606853723526},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.37848445773124695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22788503766059875},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0007383605740581","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007383605740581","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},{"id":"pmh:oai:lup.lub.lu.se:3c23bf11-b858-4f3d-8b4c-230aad74ee7c","is_oa":false,"landing_page_url":"https://lup.lub.lu.se/record/3c23bf11-b858-4f3d-8b4c-230aad74ee7c","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"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":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"doi:10.5220/0007383605740581","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007383605740581","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2113785214","https://openalex.org/W2946083937","https://openalex.org/W2088028039","https://openalex.org/W2798721181","https://openalex.org/W4386075737","https://openalex.org/W1974260915","https://openalex.org/W4382141741","https://openalex.org/W2961161784","https://openalex.org/W1584682045","https://openalex.org/W1607742242"],"abstract_inverted_index":{"Estimating":[0],"the":[1,5,20,39,64,71,106,109,113,117,126,133,153],"3D":[2,40,65,82,135,154],"model":[3,43,58,94,115,136,157],"of":[4,108,125],"human":[6,21,41,155],"body":[7,22,42,93,127,156],"is":[8,15,97,137],"needed":[9],"for":[10],"many":[11],"applications.":[12],"However,":[13],"this":[14],"a":[16,25,35,45,56,91],"challenging":[17],"problem":[18],"since":[19],"inherently":[23],"has":[24],"high":[26],"complexity":[27],"due":[28],"to":[29,37,77,89],"self-occlusions":[30],"and":[31,63,81,116,122,132,144],"articulation.":[32],"We":[33],"present":[34],"method":[36,150],"reconstruct":[38],"from":[44],"single":[46],"RGB-D":[47],"image.":[48,73],"2D":[49,80],"joint":[50,66,83,110],"points":[51,67,111],"are":[52,68,128],"firstly":[53],"predicted":[54],"by":[55],"CNN-based":[57],"called":[59],"convolutional":[60],"pose":[61,121],"machine,":[62],"calculated":[69],"using":[70],"depth":[72],"Then,":[74],"we":[75],"propose":[76],"utilize":[78],"both":[79],"points,":[84],"which":[85,104],"provide":[86],"more":[87],"information,":[88],"fit":[90],"parametric":[92,118],"(SMPL).":[95],"This":[96],"implemented":[98],"through":[99,130],"minimizing":[100],"an":[101],"objective":[102],"function,":[103],"measures":[105],"difference":[107],"between":[112],"observed":[114],"model.":[119],"The":[120,139],"shape":[123],"parameters":[124],"obtained":[129],"optimization":[131],"final":[134],"estimated.":[138],"experiments":[140],"on":[141],"synthetic":[142],"data":[143,146],"real":[145],"demonstrate":[147],"that":[148],"our":[149],"can":[151],"estimate":[152],"correctly.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
