{"id":"https://openalex.org/W3159704063","doi":"https://doi.org/10.3390/s21093029","title":"Human Motion Tracking with Less Constraint of Initial Posture from a Single RGB-D Sensor","display_name":"Human Motion Tracking with Less Constraint of Initial Posture from a Single RGB-D Sensor","publication_year":2021,"publication_date":"2021-04-26","ids":{"openalex":"https://openalex.org/W3159704063","doi":"https://doi.org/10.3390/s21093029","mag":"3159704063","pmid":"https://pubmed.ncbi.nlm.nih.gov/33925847"},"language":"en","primary_location":{"id":"doi:10.3390/s21093029","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21093029","pdf_url":"https://www.mdpi.com/1424-8220/21/9/3029/pdf?version=1619428271","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/9/3029/pdf?version=1619428271","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100322151","display_name":"Chen Liu","orcid":"https://orcid.org/0000-0002-2819-704X"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Liu","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang 110819, China","Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China"],"raw_orcid":"https://orcid.org/0000-0002-2819-704X","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang 110819, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043482575","display_name":"Anna Wang","orcid":"https://orcid.org/0000-0001-9905-767X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anna Wang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113680366","display_name":"Chunguang Bu","orcid":"https://orcid.org/0000-0002-3880-1175"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunguang Bu","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370074","display_name":"Wenhui Wang","orcid":"https://orcid.org/0000-0002-3434-5002"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Wang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113112024","display_name":"Haijing Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijing Sun","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang 110819, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043482575","https://openalex.org/A5113680366"],"corresponding_institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366","https://openalex.org/I9224756"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.9698,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77062251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":"9","first_page":"3029","last_page":"3029"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994000196456909,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.7888917922973633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7826173901557922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7605617642402649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6696697473526001},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.523501455783844},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5146887898445129},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4875454306602478},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4575440585613251},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4361899793148041},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.4223175644874573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2385578155517578},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17808663845062256}],"concepts":[{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.7888917922973633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7826173901557922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7605617642402649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6696697473526001},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.523501455783844},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5146887898445129},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4875454306602478},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4575440585613251},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4361899793148041},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.4223175644874573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2385578155517578},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17808663845062256},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s21093029","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21093029","pdf_url":"https://www.mdpi.com/1424-8220/21/9/3029/pdf?version=1619428271","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33925847","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33925847","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:9767783918cf45d7b7a974a492e228e4","is_oa":true,"landing_page_url":"https://doaj.org/article/9767783918cf45d7b7a974a492e228e4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 9, p 3029 (2021)","raw_type":"article"},{"id":"pmh:oai:ir.sia.cn/:173321/29061","is_oa":false,"landing_page_url":"http://ir.sia.cn/handle/173321/29061","pdf_url":null,"source":{"id":"https://openalex.org/S4377196984","display_name":"SIA OpenIR (Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I19820366","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I19820366"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/9/3029/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21093029","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 9; Pages: 3029","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8123514","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8123514","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21093029","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21093029","pdf_url":"https://www.mdpi.com/1424-8220/21/9/3029/pdf?version=1619428271","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7745817240","display_name":null,"funder_award_id":"2019YFC1511200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3159704063.pdf","grobid_xml":"https://content.openalex.org/works/W3159704063.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1917711508","https://openalex.org/W1938204631","https://openalex.org/W1967554269","https://openalex.org/W1985290145","https://openalex.org/W1987648924","https://openalex.org/W2001358217","https://openalex.org/W2008550072","https://openalex.org/W2029308066","https://openalex.org/W2042843908","https://openalex.org/W2058328050","https://openalex.org/W2099940712","https://openalex.org/W2122578066","https://openalex.org/W2221659194","https://openalex.org/W2229412420","https://openalex.org/W2294438834","https://openalex.org/W2325034626","https://openalex.org/W2461005315","https://openalex.org/W2483862638","https://openalex.org/W2607483565","https://openalex.org/W2736384647","https://openalex.org/W2768345177","https://openalex.org/W2781475793","https://openalex.org/W2797440557","https://openalex.org/W2797515701","https://openalex.org/W2799135238","https://openalex.org/W2894678789","https://openalex.org/W2897814836","https://openalex.org/W2924060277","https://openalex.org/W2936102783","https://openalex.org/W2939665722","https://openalex.org/W2940644374","https://openalex.org/W2944041518","https://openalex.org/W2962754033","https://openalex.org/W2963515833","https://openalex.org/W2963669509","https://openalex.org/W2963995996","https://openalex.org/W2964219767","https://openalex.org/W2965207611","https://openalex.org/W2965843368","https://openalex.org/W2966154984","https://openalex.org/W2971467054","https://openalex.org/W2978956737","https://openalex.org/W2981514602","https://openalex.org/W2981637078","https://openalex.org/W2991621301","https://openalex.org/W3002025905","https://openalex.org/W3011070051","https://openalex.org/W3013099397","https://openalex.org/W3014169829","https://openalex.org/W3020426744","https://openalex.org/W3034828482","https://openalex.org/W3035291735","https://openalex.org/W3035492592","https://openalex.org/W3035507572","https://openalex.org/W3035551320","https://openalex.org/W3041416670","https://openalex.org/W3045726889","https://openalex.org/W3063678635","https://openalex.org/W3069968251","https://openalex.org/W3096718826","https://openalex.org/W3107812413","https://openalex.org/W3109877674","https://openalex.org/W3215052027","https://openalex.org/W4210678508","https://openalex.org/W4233857083","https://openalex.org/W6661102929"],"related_works":["https://openalex.org/W1670332068","https://openalex.org/W2095618524","https://openalex.org/W2735770592","https://openalex.org/W1971024059","https://openalex.org/W1502062143","https://openalex.org/W4224236531","https://openalex.org/W4291993329","https://openalex.org/W2063177452","https://openalex.org/W2413982977","https://openalex.org/W2268850994"],"abstract_inverted_index":{"High-quality":[0],"and":[1,14,24,47,145],"complete":[2,65],"human":[3,16,39,45,118],"motion":[4,40],"4D":[5],"reconstruction":[6],"is":[7],"of":[8,104,126,148],"great":[9],"significance":[10],"for":[11],"immersive":[12],"VR":[13],"even":[15],"operation.":[17],"However,":[18],"it":[19],"has":[20,30],"inevitable":[21],"self-scanning":[22,60,149],"constraints,":[23],"tracking":[25],"under":[26],"monocular":[27],"settings":[28],"also":[29],"strict":[31,94],"restrictions.":[32],"In":[33,78],"this":[34],"paper,":[35],"we":[36,62,107,115],"propose":[37],"a":[38,53,64,82,93],"capture":[41,49],"system":[42],"combined":[43],"with":[44],"priors":[46,119],"performance":[48],"that":[50,132],"only":[51,67],"uses":[52],"single":[54],"RGB-D":[55],"sensor.":[56],"To":[57,96],"break":[58],"the":[59,69,75,102,105,109,124],"constraint,":[61],"generated":[63],"mesh":[66],"using":[68],"front":[70],"view":[71],"input":[72],"to":[73,80,122],"initialize":[74,89],"geometric":[76,143],"capture.":[77],"order":[79,121],"construct":[81],"correct":[83],"warping":[84,144],"field,":[85],"most":[86],"previous":[87],"methods":[88],"their":[90],"systems":[91],"in":[92,117,120],"way.":[95],"maintain":[97],"high":[98],"fidelity":[99],"while":[100,111,140],"increasing":[101],"easiness":[103],"system,":[106],"updated":[108],"model":[110,127],"capturing":[112],"motion.":[113],"Additionally,":[114],"blended":[116],"improve":[123],"reliability":[125],"warping.":[128],"Extensive":[129],"experiments":[130],"demonstrated":[131],"our":[133],"method":[134],"can":[135],"be":[136],"used":[137],"more":[138],"comfortably":[139],"maintaining":[141],"credible":[142],"remaining":[146],"free":[147],"constraints.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}