{"id":"https://openalex.org/W3133569103","doi":"https://doi.org/10.1109/dicta51227.2020.9363389","title":"A Survey on Training Free 3D Texture-less Object Recognition Techniques","display_name":"A Survey on Training Free 3D Texture-less Object Recognition Techniques","publication_year":2020,"publication_date":"2020-11-29","ids":{"openalex":"https://openalex.org/W3133569103","doi":"https://doi.org/10.1109/dicta51227.2020.9363389","mag":"3133569103"},"language":"en","primary_location":{"id":"doi:10.1109/dicta51227.2020.9363389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","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/A5060095192","display_name":"Piyush Joshi","orcid":"https://orcid.org/0000-0003-1355-6713"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Piyush Joshi","raw_affiliation_strings":["School of Metallurgy and Materials, University of Birmingham, Birmingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Metallurgy and Materials, University of Birmingham, Birmingham, United Kingdom","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046019885","display_name":"Alireza Rastegarpanah","orcid":"https://orcid.org/0000-0003-4264-6857"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alireza Rastegarpanah","raw_affiliation_strings":["School of Metallurgy and Materials, University of Birmingham, Birmingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Metallurgy and Materials, University of Birmingham, Birmingham, United Kingdom","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005183926","display_name":"Rustam Stolkin","orcid":"https://orcid.org/0000-0002-0890-8836"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rustam Stolkin","raw_affiliation_strings":["School of Metallurgy and Materials, University of Birmingham, Birmingham, UK"],"affiliations":[{"raw_affiliation_string":"School of Metallurgy and Materials, University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060095192"],"corresponding_institution_ids":["https://openalex.org/I79619799"],"apc_list":null,"apc_paid":null,"fwci":0.6903,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80161991,"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":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7563419342041016},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.718294620513916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7123206853866577},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6218206286430359},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5903869867324829},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.5887693166732788},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5690426826477051},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5311046242713928},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.530456006526947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5208564400672913},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5004634857177734},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.48930904269218445},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4669175148010254},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3129073679447174},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2066296935081482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07932600378990173}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7563419342041016},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.718294620513916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7123206853866577},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6218206286430359},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5903869867324829},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.5887693166732788},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5690426826477051},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5311046242713928},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.530456006526947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5208564400672913},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5004634857177734},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.48930904269218445},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4669175148010254},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3129073679447174},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2066296935081482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07932600378990173},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta51227.2020.9363389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/115c0bd2-c60a-412e-a914-d9063a90797e","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/115c0bd2-c60a-412e-a914-d9063a90797e","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Joshi , P , Rastegarpanah , A & Stolkin , R 2020 , A Survey on Training Free 3D Texture-less Object Recognition Techniques . in 2020 Digital Image Computing: Techniques and Applications, DICTA 2020 . https://doi.org/10.1109/DICTA51227.2020.9363389","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3073281705","display_name":null,"funder_award_id":"EP/S032428/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7795727766","display_name":null,"funder_award_id":"EP/P017487/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1735588541","https://openalex.org/W1881711072","https://openalex.org/W2007200979","https://openalex.org/W2021108091","https://openalex.org/W2029403310","https://openalex.org/W2029661185","https://openalex.org/W2039708910","https://openalex.org/W2051410832","https://openalex.org/W2052916917","https://openalex.org/W2054329862","https://openalex.org/W2070955084","https://openalex.org/W2099606917","https://openalex.org/W2101199297","https://openalex.org/W2107235635","https://openalex.org/W2109384047","https://openalex.org/W2116466193","https://openalex.org/W2117183049","https://openalex.org/W2130558599","https://openalex.org/W2131663644","https://openalex.org/W2136020167","https://openalex.org/W2145169631","https://openalex.org/W2148596671","https://openalex.org/W2151103935","https://openalex.org/W2152864241","https://openalex.org/W2160643963","https://openalex.org/W2160821342","https://openalex.org/W2161168419","https://openalex.org/W2161969291","https://openalex.org/W2739698496","https://openalex.org/W3101921002","https://openalex.org/W6637923771","https://openalex.org/W6683253545"],"related_works":["https://openalex.org/W196505194","https://openalex.org/W2578478211","https://openalex.org/W2207218974","https://openalex.org/W2387237626","https://openalex.org/W2182443753","https://openalex.org/W2014001742","https://openalex.org/W2403129783","https://openalex.org/W4394017669","https://openalex.org/W2188151889","https://openalex.org/W1841786463"],"abstract_inverted_index":{"Local":[0],"surface":[1],"feature":[2],"based":[3],"3D":[4,43],"object":[5,45],"recognition":[6,21,46,71],"is":[7,59],"a":[8,88],"rapidly":[9],"growing":[10],"research":[11,93],"field.":[12],"In":[13],"time-critical":[14],"applications":[15],"such":[16],"as":[17,28],"robotics,":[18],"training":[19,69],"free":[20,31,50,70],"techniques":[22,47,72],"are":[23,30,49],"always":[24],"the":[25,60,74,83],"first":[26,61],"choice":[27],"they":[29],"from":[32,51],"heavy":[33],"statistical":[34],"training.":[35,53],"This":[36],"paper":[37],"presents":[38],"an":[39,78],"experimental":[40,65],"analysis":[41],"of":[42,67],"texture-less":[44],"that":[48,63],"any":[52],"To":[54],"our":[55],"best":[56],"knowledge,":[57],"this":[58],"survey":[62],"includes":[64],"evaluation":[66],"top-rated":[68],"on":[73,82,90],"datasets":[75],"acquired":[76],"by":[77],"RGBD":[79],"camera.":[80],"Based":[81],"experimentation,":[84],"we":[85],"briefly":[86],"present":[87],"discussion":[89],"potential":[91],"future":[92],"directions.":[94]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
