{"id":"https://openalex.org/W6963488474","doi":"https://doi.org/10.21227/xa3r-z859","title":"EFMP: Extrinsic Parameters-free Multi-view 3D Human Pose Estimation","display_name":"EFMP: Extrinsic Parameters-free Multi-view 3D Human Pose Estimation","publication_year":2025,"publication_date":"2025-02-17","ids":{"openalex":"https://openalex.org/W6963488474","doi":"https://doi.org/10.21227/xa3r-z859"},"language":"zh","primary_location":{"id":"doi:10.21227/xa3r-z859","is_oa":true,"landing_page_url":"https://doi.org/10.21227/xa3r-z859","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/xa3r-z859","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"zhang, zijian","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"zhang, zijian","raw_affiliation_strings":["\u5317\u4eac\u90ae\u7535\u5927\u5b66"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u5317\u4eac\u90ae\u7535\u5927\u5b66","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.49129998683929443},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.3806000053882599},{"id":"https://openalex.org/keywords/3d-model","display_name":"3d model","score":0.3546999990940094},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.3522999882698059},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3481999933719635}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6654000282287598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6538000106811523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5795999765396118},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.49129998683929443},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.3806000053882599},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3522999882698059},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.30140000581741333},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.2976999878883362}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/xa3r-z859","is_oa":true,"landing_page_url":"https://doi.org/10.21227/xa3r-z859","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.21227/xa3r-z859","is_oa":true,"landing_page_url":"https://doi.org/10.21227/xa3r-z859","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"\u73b0\u6709\u7684\u591a\u89c6\u56fe":[0],"3D":[1,6,42,44],"\u4eba\u4f53\u59ff\u6001\u4f30\u8ba1":[2,7],"\u65b9\u6cd5\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u4f9d\u8d56\u4e8e\u7cbe\u786e\u7684\u5916\u5728\u6821\u51c6\uff0c\u800c":[3],"\u663e\u8457\u9650\u5236\u4e86\u5b83\u4eec\u5728\u4e0d\u53d7\u63a7\u5236\u7684\u60c5\u51b5\u4e0b\u7684\u5b9e\u9645\u90e8\u7f72":[4],"\u73af\u5883\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e00\u9650\u5236\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u65e0\u5916\u5728\u53c2\u6570\u7684\u591a\u89c6\u56fe":[5],"\uff08EFMP\uff09":[8],"\u6846\u67b6\uff0c\u5176\u4e2d\u5305\u542b\u4e09\u4e2a\u6280\u672f\u8d21\u732e\u3002\u7b2c\u4e00":[9],"\u63d0\u51fa\u4e86\u4e00\u79cd\u5c40\u90e8\u5168\u5c40\u59ff\u6001\u5d4c\u5165":[10],"\uff08LGPE\uff09":[11],"\u65b9\u6848":[12],"\u540c\u65f6\u6355\u83b7\u7ec6\u7c92\u5ea6\u7684\u5173\u8282\u4f9d\u8d56\u5173\u7cfb":[13],"\u540c\u65f6\u5efa\u7acb\u4ea4\u53c9\u89c6\u56fe\u5bf9\u5e94\u5173\u7cfb\u3002\u5176\u6b21\uff0c\u5f00\u53d1\u4e86":[14],"SpatialView":[15],"Joint":[16],"Transformer":[17],"\uff08SVJFormer\uff09":[18],"\u67b6\u6784":[19],"\u5177\u6709\u4e09\u4e2a\u4e13\u7528\u7ec4\u4ef6\uff1a\uff081\uff09":[20],"\u7279\u5f81\u8f6c\u6362":[21],"\u8c03\u5236":[22],"\uff08FTM\uff09":[23],"\u4e3a":[24],"\u4e0d\u540c\u7684\u6807\u8bb0\u6765\u6a21\u62df\u5f02\u6784\u5173\u7cfb\u6a21\u5f0f;(2)":[25],"\u5148\u9a8c\u77e5\u8bc6\u589e\u5f3a":[26],"\uff08PKE\uff09":[27],"\u7cfb\u7edf\u5730\u6574\u5408":[28],"\u4eba\u7c7b\u8fd0\u52a8\u5b66\u7ea6\u675f\u548c\u591a\u89c6\u56fe\u51e0\u4f55\u5148\u9a8c":[29],"\u901a\u8fc7\u7ed3\u6784\u62d3\u6251\u7f16\u7801\u8fdb\u884c\u6ce8\u610f\u529b\u8ba1\u7b97;":[30],"\uff083\uff09":[31],"\u7a7a\u95f4\u89c6\u56fe\u8054\u5408\u6ce8\u610f\u529b":[32],"\uff08SVJA\uff09":[33],"\u5b9e\u73b0\u89e3\u8026":[34],"\u7a7a\u95f4\u89c6\u56fe\u6ce8\u610f\u529b\u8ba1\u7b97\uff0c\u7136\u540e\u8fdb\u884c\u8054\u5408\u5206\u5e03\u5efa\u6a21\uff0c\u4ee5\u6355\u83b7\u5206\u5c42\u7a7a\u95f4\u89c6\u56fe\u4f9d\u8d56\u5173\u7cfb\u3002":[35],"\u7b2c\u4e09\u79cd\u662f\u57fa\u4e8e\u9aa8\u9abc\u91cd\u6295\u5f71\u7684":[36],"Multi-view":[37],"Aggregation":[38],"\u5f15\u5165":[39],"\uff08BPMA\uff09":[40],"\u673a\u5236\u4ee5\u6574\u5408\u591a\u4e2a":[41],"\u8f93\u51fa\u4e3a\u5355\u4e2a\u66f4\u9ad8\u8d28\u91cf\u7684":[43],"\u59ff\u52bf\uff0c\u7528\u4e8e\u5b9e\u9645\u5e94\u7528\u3002\u5bf9":[45],"3":[46],"\u4e2a\u57fa\u51c6\u6d4b\u8bd5\u7684\u5e7f\u6cdb\u5b9e\u9a8c\u8868\u660e":[47],"\u6211\u4eec\u7684\u65b9\u6cd5\u5b9e\u73b0\u4e86\u6700\u5148\u8fdb\u7684\u6027\u80fd\uff0c\u540c\u65f6":[48],"\u4fdd\u6301\u7d27\u51d1\u7684\u6a21\u578b\u5927\u5c0f\u3002\u4ee3\u7801\u548c\u7ed3\u679c\u53ef\u7528":[49],"\u5728":[50],"https://github.com/Z-Z-J/EFMP\u3002":[51]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
