{"id":"https://openalex.org/W1921959922","doi":"https://doi.org/10.5220/0004651802610269","title":"3D Object Recognition based on the Reference Point Ensemble","display_name":"3D Object Recognition based on the Reference Point Ensemble","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1921959922","doi":"https://doi.org/10.5220/0004651802610269","mag":"1921959922"},"language":"en","primary_location":{"id":"doi:10.5220/0004651802610269","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004651802610269","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004651802610269","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113766691","display_name":"Toshiaki Ejima","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Toshiaki Ejima","raw_affiliation_strings":["Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087155173","display_name":"Shuichi Enokida","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuichi Enokida","raw_affiliation_strings":["Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031851593","display_name":"Hisashi Ideguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I119487337","display_name":"Yaskawa Electric (Japan)","ror":"https://ror.org/037qwc103","country_code":"JP","type":"company","lineage":["https://openalex.org/I119487337"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hisashi Ideguchi","raw_affiliation_strings":["YASKAWA Electric Corporation, 2-1 Kurosakishiroishi, Yahatanishi-ku, Kitakyushu 806-0004, Japan"],"affiliations":[{"raw_affiliation_string":"YASKAWA Electric Corporation, 2-1 Kurosakishiroishi, Yahatanishi-ku, Kitakyushu 806-0004, Japan","institution_ids":["https://openalex.org/I119487337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043769254","display_name":"Toshiyuki Kouno","orcid":null},"institutions":[{"id":"https://openalex.org/I119487337","display_name":"Yaskawa Electric (Japan)","ror":"https://ror.org/037qwc103","country_code":"JP","type":"company","lineage":["https://openalex.org/I119487337"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiyuki Kouno","raw_affiliation_strings":["YASKAWA Electric Corporation, 2-1 Kurosakishiroishi, Yahatanishi-ku, Kitakyushu 806-0004, Japan"],"affiliations":[{"raw_affiliation_string":"YASKAWA Electric Corporation, 2-1 Kurosakishiroishi, Yahatanishi-ku, Kitakyushu 806-0004, Japan","institution_ids":["https://openalex.org/I119487337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049428704","display_name":"Tomoyuki Horiuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I119487337","display_name":"Yaskawa Electric (Japan)","ror":"https://ror.org/037qwc103","country_code":"JP","type":"company","lineage":["https://openalex.org/I119487337"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoyuki Horiuchi","raw_affiliation_strings":["YASKAWA Electric Corporation, 2-1 Kurosakishiroishi, Yahatanishi-ku, Kitakyushu 806-0004, Japan"],"affiliations":[{"raw_affiliation_string":"YASKAWA Electric Corporation, 2-1 Kurosakishiroishi, Yahatanishi-ku, Kitakyushu 806-0004, Japan","institution_ids":["https://openalex.org/I119487337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113766691"],"corresponding_institution_ids":["https://openalex.org/I207014233"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.04344234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9991000294685364,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9991000294685364,"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/T13579","display_name":"Image and Video Stabilization","score":0.9965999722480774,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/hough-transform","display_name":"Hough transform","score":0.724738597869873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.629128634929657},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.6244442462921143},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5727157592773438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5653643608093262},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.501060962677002},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4683144986629486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46124711632728577},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45320984721183777},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3910974860191345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2518758475780487},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.16324353218078613}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.724738597869873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.629128634929657},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.6244442462921143},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5727157592773438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5653643608093262},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.501060962677002},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4683144986629486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46124711632728577},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45320984721183777},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3910974860191345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2518758475780487},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.16324353218078613},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004651802610269","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004651802610269","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0004651802610269","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004651802610269","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-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/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2003466055","https://openalex.org/W2114275278","https://openalex.org/W1489511283","https://openalex.org/W2974914859","https://openalex.org/W2026565050","https://openalex.org/W2110244802","https://openalex.org/W2163728705","https://openalex.org/W949345935"],"abstract_inverted_index":{"In":[0,85,203],"the":[1,14,24,47,55,58,70,74,82,86,98,121,126,129,150,168,171,185,206,215,225,272,277],"present":[2],"paper,":[3],"we":[4],"have":[5,193],"proposed":[6,87,169,278],"a":[7,20,89,102,112,117,157,178],"high-performance":[8],"3D":[9,104,114,165,201],"recognition":[10,208],"method":[11],"based":[12],"on":[13,81],"reference":[15,29,35,49,60,71,75,92,108,131,191,239],"point":[16,30,76,93,109,146],"ensemble,":[17],"which":[18,39,148],"is":[19,40,78,95,111,140,161,175,271],"natural":[21],"extension":[22],"of":[23,33,38,69,91,101,116,224,235,251,259,276],"generalized":[25],"Hough":[26,65,136,138,231],"transform.":[27],"The":[28,67],"ensemble":[31,77,110],"consists":[32],"several":[34],"points,":[36],"each":[37,144,229],"color-coded":[41],"by":[42,97,128,212],"green":[43,59,145,188,230],"or":[44,189],"red,":[45],"where":[46],"red":[48,130,190,238],"points":[50,61,72,132,192,240],"are":[51,62,133,241,262],"used":[52,63,134],"to":[53,153,197],"verify":[54],"hypothesis,":[56],"and":[57,184,233,257],"for":[64,135,164,200],"voting.":[66,137],"configuration":[68],"in":[73,120,143,167,228,243,264],"designed":[79],"depending":[80],"model":[83],"shape.":[84],"method,":[88,170],"set":[90],"ensembles":[94],"generated":[96,107],"local":[99],"features":[100],"given":[103,118],"scene.":[105,122],"Each":[106],"hypothetical":[113],"pose":[115],"object":[119],"Hypotheses":[123],"passing":[124],"through":[125],"verification":[127,186],"voting":[139,151,159,173],"performed":[141],"independently":[142,227],"space,":[147],"reduces":[149],"space":[152,160,174,232],"three":[154],"dimensions.":[155],"Although":[156],"six-dimensional":[158,172],"generally":[162],"needed":[163],"recognition,":[166],"decomposed":[176],"into":[177,253],"few":[179],"three-dimensional":[180],"spaces.":[181],"This":[182,267],"decomposition":[183],"using":[187],"been":[194,210],"demonstrated":[195],"experimentally":[196],"be":[198],"effective":[199,207],"recognition.":[202],"other":[204],"words,":[205],"has":[209],"achieved":[211],"skillfully":[213],"switching":[214,269],"following":[216],"two":[217],"different":[218],"modes.":[219],"(A)":[220],"Individual":[221],"mode:":[222],"Voting":[223],"hypothesis":[226,236,255],"verifying":[234],"with":[237],"done":[242,263],"this":[244,265],"mode.":[245,266],"(B)":[246],"Ensemble":[247],"mode":[248,268],":":[249],"Verifying":[250],"registration":[252],"PHL(promising":[254],"list)":[256],"aggregating":[258],"total":[260],"votes":[261],"mechanism":[270],"most":[273],"significant":[274],"characteristic":[275],"method.":[279]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2016-06-24T00:00:00"}
