{"id":"https://openalex.org/W4389212245","doi":"https://doi.org/10.1007/s41095-023-0346-4","title":"3D hand pose and shape estimation from monocular RGB via efficient 2D cues","display_name":"3D hand pose and shape estimation from monocular RGB via efficient 2D cues","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389212245","doi":"https://doi.org/10.1007/s41095-023-0346-4"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-023-0346-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-023-0346-4.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-023-0346-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022648020","display_name":"Fenghao Zhang","orcid":"https://orcid.org/0000-0002-5405-590X"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fenghao Zhang","raw_affiliation_strings":["Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, School of Biomedical Engineering, South Central Minzu University, Wuhan, 430074, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, School of Biomedical Engineering, South Central Minzu University, Wuhan, 430074, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101797838","display_name":"Lin Zhao","orcid":"https://orcid.org/0000-0002-0103-3459"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhao","raw_affiliation_strings":["National Key Laboratory of Science and Technology of Multi-spectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology of Multi-spectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057569405","display_name":"S D Li","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengling Li","raw_affiliation_strings":["Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, School of Biomedical Engineering, South Central Minzu University, Wuhan, 430074, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, School of Biomedical Engineering, South Central Minzu University, Wuhan, 430074, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008451144","display_name":"Wanjuan Su","orcid":"https://orcid.org/0000-0002-5497-4682"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanjuan Su","raw_affiliation_strings":["National Key Laboratory of Science and Technology of Multi-spectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology of Multi-spectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018616266","display_name":"Liman Liu","orcid":"https://orcid.org/0000-0003-3775-8571"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liman Liu","raw_affiliation_strings":["Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, School of Biomedical Engineering, South Central Minzu University, Wuhan, 430074, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, School of Biomedical Engineering, South Central Minzu University, Wuhan, 430074, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087239641","display_name":"Wenbing Tao","orcid":"https://orcid.org/0000-0003-3284-864X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbing Tao","raw_affiliation_strings":["National Key Laboratory of Science and Technology of Multi-spectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology of Multi-spectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":0,"currency":"USD","value_usd":0,"provenance":"doaj"},"apc_paid":null,"fwci":0.274,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":1,"citation_normalized_percentile":{"value":0.556134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":68,"max":79},"biblio":{"volume":"10","issue":"1","first_page":"79","last_page":"96"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9954,"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":0.9954,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9822,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9818,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/rgb-color-model","display_name":"RGB color model","score":0.51891875},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D Reconstruction","score":0.50456583},{"id":"https://openalex.org/keywords/octree","display_name":"Octree","score":0.47742212},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44682565}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7727283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75688386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.63761604},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.62578434},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.62073004},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.51891875},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.50456583},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.49716142},{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.47742212},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44682565},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41638523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40331554},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.17952421},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.10128185},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-023-0346-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-023-0346-4.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-023-0346-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-023-0346-4.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.61}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":46,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W2032618685","https://openalex.org/W2082322650","https://openalex.org/W2117539524","https://openalex.org/W2143641248","https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W2768683308","https://openalex.org/W2793289255","https://openalex.org/W2798581336","https://openalex.org/W2798637590","https://openalex.org/W2897765997","https://openalex.org/W2962811204","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2963207848","https://openalex.org/W2963508807","https://openalex.org/W2963907666","https://openalex.org/W2963995996","https://openalex.org/W2964093990","https://openalex.org/W2964211001","https://openalex.org/W2968722025","https://openalex.org/W2973857456","https://openalex.org/W2979577579","https://openalex.org/W2982601397","https://openalex.org/W2984612350","https://openalex.org/W2984624776","https://openalex.org/W2997233412","https://openalex.org/W3013780467","https://openalex.org/W3013785695","https://openalex.org/W3015636086","https://openalex.org/W3034470433","https://openalex.org/W3035385851","https://openalex.org/W3035446326","https://openalex.org/W3112418082","https://openalex.org/W3121324303","https://openalex.org/W3171008617","https://openalex.org/W3175199633","https://openalex.org/W3178872387","https://openalex.org/W3186268659","https://openalex.org/W3201806127","https://openalex.org/W3202457644","https://openalex.org/W4200186532","https://openalex.org/W4214492424","https://openalex.org/W4214684804","https://openalex.org/W4220862052"],"related_works":["https://openalex.org/W2776826689","https://openalex.org/W2773541276","https://openalex.org/W2626146704","https://openalex.org/W2392270594","https://openalex.org/W2389430001","https://openalex.org/W2349758302","https://openalex.org/W2348653124","https://openalex.org/W2156453104","https://openalex.org/W2089908184","https://openalex.org/W1979313280"],"abstract_inverted_index":{"Abstract":[0],"Estimating":[1],"3D":[2,52,157,185],"hand":[3,19,34,54,128,143,158,179,186,201,212],"shape":[4,55],"from":[5,150,203],"a":[6,76,142,155,170,189],"single-view":[7],"RGB":[8],"image":[9,113],"is":[10,123,174],"important":[11],"for":[12,69,87,131],"many":[13],"applications.":[14],"However,":[15],"the":[16,49,112,135,151,166,200,204,216,224],"diversity":[17],"of":[18,39,51,184,199],"shapes":[20],"and":[21,25,32,105,130,160,220],"postures,":[22],"depth":[23,82],"ambiguity,":[24],"occlusion":[26],"may":[27],"result":[28],"in":[29,84,165],"pose":[30,45,71,100,136],"errors":[31],"noisy":[33],"meshes.":[35],"Making":[36],"full":[37],"use":[38,61,141],"2D":[40,44,62,78,97,119,161,206],"cues":[41],"such":[42],"as":[43],"can":[46],"effectively":[47],"improve":[48],"quality":[50],"human":[53],"estimation.":[56,72],"In":[57],"this":[58,122],"paper,":[59],"we":[60,109,140],"joint":[63,152],"heatmaps":[64],"to":[65,80,114,126,146,176,181,208,214],"obtain":[66],"spatial":[67,148],"details":[68],"robust":[70],"We":[73],"also":[74,124],"introduce":[75],"depth-independent":[77],"mesh":[79,85,159,162,171,191,202,213],"avoid":[81],"ambiguity":[83],"regression":[86],"efficient":[88],"hand-image":[89],"alignment.":[90],"Our":[91],"method":[92],"has":[93],"four":[94],"cascaded":[95],"stages:":[96],"cue":[98,120],"extraction,":[99],"feature":[101,137],"encoding,":[102],"initial":[103,167],"reconstruction,":[104],"reconstruction":[106,168,217],"refinement.":[107],"Specifically,":[108],"first":[110],"encode":[111],"determine":[115],"semantic":[116],"features":[117,180],"during":[118,134],"extraction;":[121],"used":[125,175],"predict":[127,209],"joints":[129,144],"segmentation.":[132],"Then,":[133],"encoding":[138],"stage,":[139],"encoder":[145],"learn":[147],"information":[149],"heatmaps.":[153],"Next,":[154],"coarse":[156],"are":[163],"obtained":[164],"step;":[169],"squeeze-and-excitation":[172],"block":[173],"fuse":[177],"different":[178],"enhance":[182],"perception":[183],"structures.":[187],"Finally,":[188],"global":[190],"refinement":[192],"stage":[193],"learns":[194],"non-local":[195],"relations":[196],"between":[197],"vertices":[198],"predicted":[205],"mesh,":[207],"an":[210],"offset":[211],"fine-tune":[215],"results.":[218],"Quantitative":[219],"qualitative":[221],"results":[222],"on":[223],"FreiHAND":[225],"benchmark":[226],"dataset":[227],"demonstrate":[228],"that":[229],"our":[230],"approach":[231],"achieves":[232],"state-of-the-art":[233],"performance.":[234]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4389212245","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2024-12-09T08:13:59.964740","created_date":"2023-12-01"}