{"id":"https://openalex.org/W1484420044","doi":"https://doi.org/10.1109/icar.2015.7251523","title":"Comparison of action-grounded and non-action-grounded 3-D shape features for object affordance classification","display_name":"Comparison of action-grounded and non-action-grounded 3-D shape features for object affordance classification","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1484420044","doi":"https://doi.org/10.1109/icar.2015.7251523","mag":"1484420044"},"language":"en","primary_location":{"id":"doi:10.1109/icar.2015.7251523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icar.2015.7251523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advanced Robotics (ICAR)","raw_type":"proceedings-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/A5032201984","display_name":"Barry Ridge","orcid":"https://orcid.org/0000-0002-7240-8182"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":true,"raw_author_name":"Barry Ridge","raw_affiliation_strings":["Department of Automation, Biocybernetics and Robotics, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","Laboratory of Humanoid and Cognitive Robotics, Department of Automation, Biocybernetics and Robotics, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Biocybernetics and Robotics, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]},{"raw_affiliation_string":"Laboratory of Humanoid and Cognitive Robotics, Department of Automation, Biocybernetics and Robotics, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048165304","display_name":"Emre U\u011fur","orcid":"https://orcid.org/0000-0001-9597-2731"},"institutions":[{"id":"https://openalex.org/I190249584","display_name":"Universit\u00e4t Innsbruck","ror":"https://ror.org/054pv6659","country_code":"AT","type":"education","lineage":["https://openalex.org/I190249584"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Emre Ugur","raw_affiliation_strings":["Intelligent and Interactive Systems Laboratory, University of Innsbruck, Austria"],"affiliations":[{"raw_affiliation_string":"Intelligent and Interactive Systems Laboratory, University of Innsbruck, Austria","institution_ids":["https://openalex.org/I190249584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019399129","display_name":"Ale\u0161 Ude","orcid":"https://orcid.org/0000-0003-3677-3972"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Ales Ude","raw_affiliation_strings":["Department of Automation, Biocybernetics and Robotics, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","Laboratory of Humanoid and Cognitive Robotics, Department of Automation, Biocybernetics and Robotics, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Biocybernetics and Robotics, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]},{"raw_affiliation_string":"Laboratory of Humanoid and Cognitive Robotics, Department of Automation, Biocybernetics and Robotics, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032201984"],"corresponding_institution_ids":["https://openalex.org/I3006985408"],"apc_list":null,"apc_paid":null,"fwci":1.683,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84956125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"635","last_page":"641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9980000257492065,"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":0.9933000206947327,"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/affordance","display_name":"Affordance","score":0.832101583480835},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7412533760070801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.66163170337677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6479276418685913},{"id":"https://openalex.org/keywords/grounded-theory","display_name":"Grounded theory","score":0.5938733816146851},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5341101884841919},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4523492753505707},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34054645895957947},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.0658801794052124},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.060019493103027344}],"concepts":[{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.832101583480835},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7412533760070801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66163170337677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6479276418685913},{"id":"https://openalex.org/C156325361","wikidata":"https://www.wikidata.org/wiki/Q1152864","display_name":"Grounded theory","level":3,"score":0.5938733816146851},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5341101884841919},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4523492753505707},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34054645895957947},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.0658801794052124},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.060019493103027344},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icar.2015.7251523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icar.2015.7251523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advanced Robotics (ICAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W26690283","https://openalex.org/W1679913846","https://openalex.org/W1933657216","https://openalex.org/W1974652642","https://openalex.org/W2012350342","https://openalex.org/W2017304631","https://openalex.org/W2021277572","https://openalex.org/W2023758701","https://openalex.org/W2047286442","https://openalex.org/W2050595634","https://openalex.org/W2074658631","https://openalex.org/W2076593519","https://openalex.org/W2085261163","https://openalex.org/W2087775928","https://openalex.org/W2094150678","https://openalex.org/W2102783898","https://openalex.org/W2115519999","https://openalex.org/W2115846099","https://openalex.org/W2132322793","https://openalex.org/W2132602743","https://openalex.org/W2151098000","https://openalex.org/W2154203887","https://openalex.org/W2155217025","https://openalex.org/W2166776397","https://openalex.org/W2330143912","https://openalex.org/W2911964244","https://openalex.org/W4237222446"],"related_works":["https://openalex.org/W1972718289","https://openalex.org/W1791514435","https://openalex.org/W2346831895","https://openalex.org/W2248634132","https://openalex.org/W2016646572","https://openalex.org/W4386875132","https://openalex.org/W2470899375","https://openalex.org/W2417026147","https://openalex.org/W3089455568","https://openalex.org/W2604548540"],"abstract_inverted_index":{"Recent":[0],"work":[1],"in":[2,5,94],"robotics,":[3],"particularly":[4],"the":[6,16,42,54,57,67,74,109,130],"domains":[7],"of":[8,18,56,69,132,139],"object":[9,23,45,71,96],"manipulation":[10,32,55],"and":[11,78,91],"affordance":[12,97],"learning,":[13],"has":[14],"seen":[15],"development":[17],"action-grounded":[19,89,134],"features,":[20,38],"that":[21,25,65,104,128],"is,":[22],"features":[24,48,64,90,93],"are":[26,49],"defined":[27],"dynamically":[28],"with":[29,44,51],"respect":[30,52],"to":[31,53,73],"actions.":[33],"Rather":[34],"than":[35],"using":[36,62],"pose-invariant":[37],"as":[39,113,115],"is":[40],"often":[41],"case":[43],"recognition,":[46],"such":[47],"grounded":[50],"object,":[58],"for":[59],"instance,":[60],"by":[61],"shape":[63],"describe":[66],"surface":[68],"an":[70,85,95,101,120],"relative":[72],"push":[75,116],"contact":[76],"point":[77],"direction.":[79],"In":[80],"this":[81,133],"paper":[82],"we":[83,124],"provide":[84,125],"experimental":[86,102,126],"comparison":[87],"between":[88],"non-grounded":[92],"classification":[98],"setting.":[99],"Using":[100],"platform":[103],"gathers":[105],"3-D":[106],"data":[107],"from":[108,119],"Kinect":[110],"RGB-D":[111],"sensor,":[112],"well":[114],"action":[117],"trajectories":[118],"electromagnetic":[121],"tracking":[122],"system,":[123],"results":[127],"demonstrate":[129],"effectiveness":[131],"approach":[135],"across":[136],"a":[137],"range":[138],"state-of-the-art":[140],"classifiers.":[141]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}