{"id":"https://openalex.org/W2264996925","doi":"https://doi.org/10.1631/fitee.1500126","title":"Extracting hand articulations from monocular depth images using curvature scale space descriptors","display_name":"Extracting hand articulations from monocular depth images using curvature scale space descriptors","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2264996925","doi":"https://doi.org/10.1631/fitee.1500126","mag":"2264996925"},"language":"en","primary_location":{"id":"doi:10.1631/fitee.1500126","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.1500126","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5083450478","display_name":"Shaofan Wang","orcid":"https://orcid.org/0000-0002-3045-624X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shao-fan Wang","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371573","display_name":"Chun Li","orcid":"https://orcid.org/0000-0003-2311-3422"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Li","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046193794","display_name":"Dehui Kong","orcid":"https://orcid.org/0000-0001-7722-7172"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De-hui Kong","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao-cai Yin","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China","Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, 100081, China","School of Software Technology, Dalian University of Technology, Dalian, 116024, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, 100081, China","institution_ids":[]},{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology, Dalian, 116024, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083450478"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":1.6193,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83297239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"17","issue":"1","first_page":"41","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9990000128746033,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9876999855041504,"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":0.7505201101303101},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7008618116378784},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.6975429058074951},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.6865420341491699},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5397928357124329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5381141304969788},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5252227783203125},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45057302713394165},{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.44563743472099304},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.42056870460510254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36970657110214233},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3504353165626526},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.2378188967704773},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20642250776290894},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1747315526008606},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11645248532295227}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7505201101303101},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7008618116378784},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6975429058074951},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.6865420341491699},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5397928357124329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5381141304969788},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5252227783203125},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45057302713394165},{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.44563743472099304},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.42056870460510254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36970657110214233},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3504353165626526},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.2378188967704773},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20642250776290894},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1747315526008606},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11645248532295227},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1631/fitee.1500126","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.1500126","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G170227407","display_name":null,"funder_award_id":"61402024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2339317039","display_name":null,"funder_award_id":"61390510","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3232442476","display_name":null,"funder_award_id":"61227004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5230005997","display_name":null,"funder_award_id":"61370120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6061649528","display_name":null,"funder_award_id":"61300065","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":23,"referenced_works":["https://openalex.org/W1969927402","https://openalex.org/W1981498149","https://openalex.org/W1982507005","https://openalex.org/W1987739120","https://openalex.org/W1990947293","https://openalex.org/W2008295997","https://openalex.org/W2023986425","https://openalex.org/W2041175617","https://openalex.org/W2075156252","https://openalex.org/W2088785110","https://openalex.org/W2100642335","https://openalex.org/W2102518911","https://openalex.org/W2112262632","https://openalex.org/W2116790095","https://openalex.org/W2125850087","https://openalex.org/W2134538062","https://openalex.org/W2138993043","https://openalex.org/W2141437475","https://openalex.org/W2161604086","https://openalex.org/W2162254475","https://openalex.org/W2183320212","https://openalex.org/W2478657783","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W2909957174","https://openalex.org/W4246278799","https://openalex.org/W2559403121","https://openalex.org/W2350699021","https://openalex.org/W2374392618","https://openalex.org/W2168716251","https://openalex.org/W2033156724"],"abstract_inverted_index":{"We":[0,19],"propose":[1],"a":[2,9,43],"framework":[3],"of":[4,35,42,47,61,63,68,109,114,127],"hand":[5,22,137],"articulation":[6],"detection":[7],"from":[8,24],"monocular":[10],"depth":[11,27],"image":[12],"using":[13,38,76],"curvature":[14],"scale":[15],"space":[16],"(CSS)":[17],"descriptors.":[18],"extract":[20],"the":[21,31,36,39,48,53,58,66,69,84,89,106,112,136],"contour":[23,37],"an":[25],"input":[26],"image,":[28],"and":[29,33,91],"obtain":[30],"fingertips":[32,55,90,113],"finger-valleys":[34,92],"local":[40,59,107],"extrema":[41,108],"modified":[44,85],"CSS":[45,86],"map":[46],"contour.":[49,70],"Then":[50],"we":[51],"recover":[52,111],"undetected":[54],"according":[56],"to":[57,100],"change":[60],"depths":[62,110],"points":[64],"in":[65],"interior":[67],"Compared":[71],"with":[72,142],"traditional":[73,119],"appearance-based":[74,120,145],"approaches":[75,121],"either":[77],"angle":[78],"detectors":[79],"or":[80,102],"convex":[81],"hull":[82],"detectors,":[83],"descriptor":[87],"extracts":[88],"more":[93,98,139],"precisely":[94,140],"since":[95],"it":[96],"is":[97],"robust":[99],"noisy":[101],"corrupted":[103],"data;":[104],"moreover,":[105],"bending":[115],"fingers":[116],"well":[117],"while":[118],"hardly":[122],"work":[123],"without":[124],"matching":[125],"models":[126],"hands.":[128],"Experimental":[129],"results":[130],"show":[131],"that":[132],"our":[133],"method":[134],"captures":[135],"articulations":[138],"compared":[141],"three":[143],"state-of-the-art":[144],"approaches.":[146]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-02-22T13:39:03.778224","created_date":"2025-10-10T00:00:00"}