{"id":"https://openalex.org/W4411336618","doi":"https://doi.org/10.1109/tip.2025.3578256","title":"A Coarse-to-Fine Multi-Hypothesis Method for Ambiguous Hand Pose Estimation","display_name":"A Coarse-to-Fine Multi-Hypothesis Method for Ambiguous Hand Pose Estimation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411336618","doi":"https://doi.org/10.1109/tip.2025.3578256","pmid":"https://pubmed.ncbi.nlm.nih.gov/40522794"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3578256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3578256","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005576432","display_name":"Yuting Ge","orcid":"https://orcid.org/0000-0002-7545-6438"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuting Ge","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7545-6438","affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026897684","display_name":"Chi Xu","orcid":"https://orcid.org/0000-0002-5301-9376"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Xu","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5301-9376","affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100753413","display_name":"Li Cheng","orcid":"https://orcid.org/0000-0003-3261-3533"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Li Cheng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Vision and Learning Laboratory, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0003-3261-3533","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Vision and Learning Laboratory, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005576432"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11045259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"4302","last_page":"4314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9947999715805054,"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":0.9947999715805054,"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":0.9925000071525574,"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":0.986299991607666,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.629962682723999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5975012183189392},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4984922409057617},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4916554093360901},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.486247181892395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4388648271560669},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3402807116508484}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.629962682723999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5975012183189392},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4984922409057617},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4916554093360901},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.486247181892395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4388648271560669},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3402807116508484},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3578256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3578256","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:40522794","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40522794","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":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G285611512","display_name":null,"funder_award_id":"62273318","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6972568856","display_name":null,"funder_award_id":"61876170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W2049996926","https://openalex.org/W2085261163","https://openalex.org/W2099800354","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2521041279","https://openalex.org/W2536305597","https://openalex.org/W2565639579","https://openalex.org/W2583372902","https://openalex.org/W2583585015","https://openalex.org/W2768683308","https://openalex.org/W2794530402","https://openalex.org/W2949924544","https://openalex.org/W2962730651","https://openalex.org/W2962811204","https://openalex.org/W2963091746","https://openalex.org/W2963207848","https://openalex.org/W2963532621","https://openalex.org/W2964291722","https://openalex.org/W2964304707","https://openalex.org/W2964318832","https://openalex.org/W2968459013","https://openalex.org/W2972662547","https://openalex.org/W2978956737","https://openalex.org/W2981637078","https://openalex.org/W2982627166","https://openalex.org/W2998273692","https://openalex.org/W3014641072","https://openalex.org/W3034479523","https://openalex.org/W3035186639","https://openalex.org/W3041416670","https://openalex.org/W3106080728","https://openalex.org/W3180172155","https://openalex.org/W3189475686","https://openalex.org/W3200418030","https://openalex.org/W3203617912","https://openalex.org/W3203745449","https://openalex.org/W3215666689","https://openalex.org/W4214517305","https://openalex.org/W4214770715","https://openalex.org/W4226047505","https://openalex.org/W4226524636","https://openalex.org/W4288054517","https://openalex.org/W4292828425","https://openalex.org/W4298014233","https://openalex.org/W4312395531","https://openalex.org/W4312648215","https://openalex.org/W4312677021","https://openalex.org/W4312923690","https://openalex.org/W4313015918","https://openalex.org/W4375928944","https://openalex.org/W4385245566","https://openalex.org/W4386065372","https://openalex.org/W4386065417","https://openalex.org/W4386075525","https://openalex.org/W4386075692","https://openalex.org/W4386075813","https://openalex.org/W4386076611","https://openalex.org/W4386076700","https://openalex.org/W4386083060","https://openalex.org/W4386158912","https://openalex.org/W4390190574","https://openalex.org/W4390871676","https://openalex.org/W4390871710","https://openalex.org/W4390871828","https://openalex.org/W4390872539","https://openalex.org/W4390873463","https://openalex.org/W4390874574","https://openalex.org/W4390970200","https://openalex.org/W4393158891","https://openalex.org/W4401990634","https://openalex.org/W4402726978","https://openalex.org/W4402727599","https://openalex.org/W4402771885","https://openalex.org/W4405800723","https://openalex.org/W4406891766","https://openalex.org/W4408100541","https://openalex.org/W6752910514","https://openalex.org/W6781568228","https://openalex.org/W6786132994","https://openalex.org/W6846121917"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0],"hand":[1,24,32,122],"pose":[2,123,243],"estimation,":[3,124],"challenges":[4],"such":[5],"as":[6],"occlusion":[7],"often":[8,56],"result":[9],"in":[10,30,48,75,110],"partial":[11],"observation":[12],"of":[13,91,133,151,169,206],"a":[14,117,137,143,152],"human":[15],"hand,":[16],"making":[17],"it":[18],"difficult":[19],"to":[20,28,58,65,101,146,179,185,196,235,256],"uniquely":[21],"determine":[22],"the":[23,66,89,102,131,204,257],"pose,":[25],"thus":[26],"leading":[27],"ambiguity":[29,62],"certain":[31],"regions.":[33],"Heatmap-based":[34],"methods":[35,55,82],"may":[36],"struggle":[37],"with":[38,142,193],"locating":[39],"ambiguous":[40,92,134,156,207],"joints":[41,182],"and":[42,72,113,175,213,230],"end":[43],"up":[44],"violating":[45],"physiological":[46],"constraints":[47],"their":[49,94],"predictions.":[50],"Parametric":[51],"model":[52,145],"based":[53],"single-solution":[54,104,259],"fail":[57],"adequately":[59],"address":[60],"this":[61],"issue":[63],"due":[64,195],"inherent":[67],"one-to-many":[68],"mappings":[69],"between":[70],"input":[71],"output,":[73],"resulting":[74],"unstable":[76],"regression.":[77],"While":[78],"some":[79],"existing":[80,246],"multi-hypothesis":[81,119,247],"have":[83],"improved":[84],"diversity":[85,112],"by":[86,125,162],"directly":[87],"modeling":[88],"distribution":[90,132,154,205],"hypotheses,":[93,166],"localization":[95,253],"accuracy":[96],"still":[97],"falls":[98],"short":[99],"compared":[100],"recent":[103],"methods.":[105,260],"To":[106],"achieve":[107],"quality":[108],"results":[109,254],"both":[111,228],"accuracy,":[114],"we":[115,202],"propose":[116],"novel":[118],"approach":[120,224],"for":[121],"progressively":[126],"integrating":[127],"heatmap":[128,173],"information":[129],"into":[130],"poses":[135,208],"using":[136,209],"RANSAC-like":[138],"strategy.":[139],"It":[140,232],"starts":[141],"conditional-flow":[144],"provide":[147],"an":[148],"initial":[149],"estimate":[150],"coarse":[153],"over":[155],"joint":[157],"poses.":[158],"This":[159],"is":[160,233],"followed":[161],"randomly":[163],"sampling":[164],"multiple":[165],"projecting":[167],"each":[168],"them":[170],"onto":[171],"2D":[172],"plane,":[174],"employing":[176],"consensus":[177],"checks":[178],"identify":[180],"unambiguous":[181],"that":[183],"adhere":[184],"skeletal":[186],"constraints.":[187],"Joint":[188],"features":[189],"are":[190,219,225],"then":[191],"resampled,":[192],"mismatches":[194],"incorrect":[197],"estimations":[198],"being":[199],"eliminated.":[200],"Finally,":[201],"refine":[203],"graph":[210],"neural":[211],"networks":[212],"attention":[214],"mechanisms.":[215],"Extensive":[216],"empirical":[217],"experiments":[218],"carried":[220],"out,":[221],"where":[222],"our":[223],"carefully":[226],"examined":[227],"qualitatively":[229],"quantitatively.":[231],"shown":[234],"not":[236],"only":[237],"produce":[238],"more":[239],"diverse":[240],"&":[241],"feasible":[242],"hypotheses":[244],"than":[245],"methods,":[248],"but":[249],"also":[250],"achieves":[251],"accurate":[252],"comparable":[255],"state-of-the-art":[258]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
