{"id":"https://openalex.org/W2886155997","doi":"https://doi.org/10.2312/vmv.20171258","title":"Data Driven Synthesis of Hand Grasps from 3-D Object Models","display_name":"Data Driven Synthesis of Hand Grasps from 3-D Object Models","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2886155997","doi":"https://doi.org/10.2312/vmv.20171258","mag":"2886155997"},"language":"en","primary_location":{"id":"doi:10.2312/vmv.20171258","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20171258","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/vmv.20171258","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102917774","display_name":"Soumajit Majumder","orcid":"https://orcid.org/0000-0002-0150-1208"},"institutions":[{"id":"https://openalex.org/I1329325741","display_name":"Philips (Finland)","ror":"https://ror.org/01g4jev56","country_code":"FI","type":"company","lineage":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Majumder, Soumajit","raw_affiliation_strings":["Philips (Finland), Vantaa, Finland"],"affiliations":[{"raw_affiliation_string":"Philips (Finland), Vantaa, Finland","institution_ids":["https://openalex.org/I1329325741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074424672","display_name":"Haojiong Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Haojiong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5006278133","display_name":"Angela Yao","orcid":"https://orcid.org/0000-0001-7418-6141"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yao, Angela","raw_affiliation_strings":["University of Bonn, Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102917774"],"corresponding_institution_ids":["https://openalex.org/I1329325741"],"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":"45","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9979000091552734,"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":0.9979000091552734,"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/T12290","display_name":"Human Motion and Animation","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5836077928543091},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5037404894828796},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4957526624202728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46845412254333496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5836077928543091},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5037404894828796},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4957526624202728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46845412254333496}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/vmv.20171258","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20171258","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2886155997","is_oa":false,"landing_page_url":"https://diglib.eg.org/handle/10.2312/vmv20171258","pdf_url":null,"source":{"id":"https://openalex.org/S4306421152","display_name":"Vision Modeling and Visualization","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Vision Modeling and Visualization","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/vmv.20171258","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20171258","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W636050417","https://openalex.org/W2964984213","https://openalex.org/W86433607","https://openalex.org/W2794857800","https://openalex.org/W2091396490","https://openalex.org/W2887254955","https://openalex.org/W3023860076","https://openalex.org/W2801392054","https://openalex.org/W2962906303","https://openalex.org/W2090210210","https://openalex.org/W2193388275","https://openalex.org/W2008766101","https://openalex.org/W2205969003","https://openalex.org/W3118182197","https://openalex.org/W2104273718","https://openalex.org/W2068641309","https://openalex.org/W1601168916","https://openalex.org/W2151001101","https://openalex.org/W1997510806","https://openalex.org/W1977535585"],"abstract_inverted_index":{"Modeling":[0],"and":[1,17,29,88,100,121,132],"predicting":[2,25],"human":[3,93],"hand":[4,27,94,130],"grasping":[5],"interactions":[6],"is":[7],"an":[8,34],"active":[9],"area":[10],"of":[11,24,54,91,104,118],"research":[12],"in":[13,50],"robotics,":[14],"computer":[15,18],"vision":[16],"graphics.":[19],"We":[20,108],"tackle":[21],"the":[22,30,48,51,61,86,98,105,136],"problem":[23,81],"plausible":[26,129],"grasps":[28,131],"contact":[31,133],"points":[32,134],"given":[33],"input":[35],"3-D":[36,52,115],"object":[37,116],"model.":[38],"Such":[39],"a":[40,78,92],"prediction":[41],"task":[42],"can":[43,67,126],"be":[44,68],"difficult":[45],"due":[46],"to":[47],"variations":[49],"structure":[53],"daily":[55,119],"use":[56,120],"objects":[57,66],"as":[58,60,77,95,97],"well":[59,96],"different":[62],"ways":[63],"that":[64,123],"similar":[65],"manipulated.":[69],"In":[70],"this":[71],"work,":[72],"we":[73],"formulate":[74],"grasp":[75],"synthesis":[76],"constrained":[79],"optimization":[80],"which":[82],"takes":[83],"into":[84],"account":[85],"anthropomorphic":[87],"kinematic":[89],"limitations":[90],"local":[99],"global":[101],"geometric":[102],"properties":[103],"interacting":[106],"object.":[107,137],"evaluate":[109],"our":[110,124],"proposed":[111],"algorithm":[112,125],"on":[113,135],"twelve":[114],"models":[117],"demonstrate":[122],"successfully":[127],"predict":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
