{"id":"https://openalex.org/W2772815378","doi":"https://doi.org/10.1109/access.2017.2783331","title":"Evolutionary Feature Learning for 3-D Object Recognition","display_name":"Evolutionary Feature Learning for 3-D Object Recognition","publication_year":2017,"publication_date":"2017-12-14","ids":{"openalex":"https://openalex.org/W2772815378","doi":"https://doi.org/10.1109/access.2017.2783331","mag":"2772815378"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2783331","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2783331","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2783331","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049303874","display_name":"Syed Afaq Ali Shah","orcid":"https://orcid.org/0000-0003-2181-8445"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Syed Afaq Ali Shah","raw_affiliation_strings":["The University of Western Australia, Crawley, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2181-8445","affiliations":[{"raw_affiliation_string":"The University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009750573","display_name":"Mohammed Bennamoun","orcid":"https://orcid.org/0000-0002-6603-3257"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohammed Bennamoun","raw_affiliation_strings":["The University of Western Australia, Crawley, WA, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014216530","display_name":"Farid Boussa\u00efd","orcid":"https://orcid.org/0000-0001-7250-7407"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Farid Boussaid","raw_affiliation_strings":["The University of Western Australia, Crawley, WA, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026090443","display_name":"Lyndon While","orcid":null},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lyndon While","raw_affiliation_strings":["The University of Western Australia, Crawley, WA, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177877127"],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":0.901,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81278944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"2434","last_page":"2444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9929999709129333,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9929999709129333,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9912999868392944,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9907000064849854,"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/computer-science","display_name":"Computer science","score":0.8087959289550781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7776823043823242},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6039806604385376},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.545641303062439},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5209975838661194},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4846394658088684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4742904305458069},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4733828604221344},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4690212309360504},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4549911916255951},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44619283080101013},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4313362240791321},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4137831926345825},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32159918546676636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8087959289550781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7776823043823242},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6039806604385376},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.545641303062439},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5209975838661194},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4846394658088684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4742904305458069},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4733828604221344},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4690212309360504},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4549911916255951},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44619283080101013},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4313362240791321},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4137831926345825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32159918546676636},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/access.2017.2783331","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2783331","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/8400e28b-6194-42c5-8da4-70e5e5571dd7","is_oa":true,"landing_page_url":"https://admin.research-repository.uwa.edu.au/en/publications/8400e28b-6194-42c5-8da4-70e5e5571dd7","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Shah, S A A, Bennamoun, M, Boussaid, F & While, L 2017, 'Evolutionary Feature Learning for 3D Object Recognition', IEEE Access, vol. 6, pp. 2434-2444. https://doi.org/10.1109/ACCESS.2017.2783331","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.atira.dk:publications/8400e28b-6194-42c5-8da4-70e5e5571dd7","is_oa":true,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/8400e28b-6194-42c5-8da4-70e5e5571dd7","pdf_url":null,"source":{"id":"https://openalex.org/S4306402492","display_name":"UWA Profiles and Research Repository (UWA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Shah , S A A , Bennamoun , M , Boussaid , F & While , L 2017 , ' Evolutionary Feature Learning for 3D Object Recognition ' , IEEE Access , vol. 6 , pp. 2434-2444 . https://doi.org/10.1109/ACCESS.2017.2783331","raw_type":"article"},{"id":"pmh:oai:researchrepository.murdoch.edu.au:50023","is_oa":false,"landing_page_url":"https://researchrepository.murdoch.edu.au/id/eprint/50023/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400274","display_name":"Murdoch Research Repository (Murdoch University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I176790772","host_organization_name":"Murdoch University","host_organization_lineage":["https://openalex.org/I176790772"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Shah, S.A.A. <https://researchrepository.murdoch.edu.au/view/author/Shah, Syed Afaq Ali.html>, Bennamoun, M., Boussaid, F. and While, L. (2018) Evolutionary feature learning for 3-D object recognition. IEEE Access, 6 . pp. 2434-2444.","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:e39c8ff3c9aa4badae58df3c3802bcf0","is_oa":true,"landing_page_url":"https://doaj.org/article/e39c8ff3c9aa4badae58df3c3802bcf0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 2434-2444 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2783331","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2783331","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G5348323758","display_name":"Improving the face of cosmetic medicine - an automatic three-dimensional facial analysis system for facial rejuvenation","funder_award_id":"LP130100138","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320320991","display_name":"University of Western Australia","ror":"https://ror.org/047272k79"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W271388391","https://openalex.org/W1573897183","https://openalex.org/W1590874898","https://openalex.org/W1890212682","https://openalex.org/W1963527964","https://openalex.org/W1976002956","https://openalex.org/W1979280606","https://openalex.org/W1983705514","https://openalex.org/W1987027478","https://openalex.org/W1996939238","https://openalex.org/W2007200979","https://openalex.org/W2010099945","https://openalex.org/W2013556567","https://openalex.org/W2022604464","https://openalex.org/W2025062188","https://openalex.org/W2025768430","https://openalex.org/W2030806168","https://openalex.org/W2045915581","https://openalex.org/W2052678124","https://openalex.org/W2055191956","https://openalex.org/W2062953232","https://openalex.org/W2067878879","https://openalex.org/W2074142320","https://openalex.org/W2084146405","https://openalex.org/W2084635560","https://openalex.org/W2093102539","https://openalex.org/W2098056433","https://openalex.org/W2100657858","https://openalex.org/W2105594297","https://openalex.org/W2109992539","https://openalex.org/W2112074816","https://openalex.org/W2118562226","https://openalex.org/W2124386111","https://openalex.org/W2130325614","https://openalex.org/W2133543922","https://openalex.org/W2136922672","https://openalex.org/W2152106040","https://openalex.org/W2156222070","https://openalex.org/W2160547390","https://openalex.org/W2160643963","https://openalex.org/W2165414070","https://openalex.org/W2165904679","https://openalex.org/W2215306511","https://openalex.org/W2293983223","https://openalex.org/W2410426698","https://openalex.org/W2411338455","https://openalex.org/W2511906965","https://openalex.org/W2535191603","https://openalex.org/W2569168369","https://openalex.org/W2593792475","https://openalex.org/W2603025843","https://openalex.org/W6607775107","https://openalex.org/W6656866612","https://openalex.org/W6671567704","https://openalex.org/W6675428336","https://openalex.org/W6676766825","https://openalex.org/W6683253545"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W3119773509","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611"],"abstract_inverted_index":{"3-D":[0,47,61,110,123],"object":[1,48,111,131],"recognition":[2,18,97,112],"is":[3],"a":[4,39,74,90],"challenging":[5],"task":[6,108],"for":[7,46,67,106],"many":[8],"applications":[9],"including":[10,118],"autonomous":[11],"robot":[12],"navigation":[13],"and":[14,129,137,147],"scene":[15],"understanding.":[16],"Accurate":[17],"relies":[19],"on":[20,60,113,159],"the":[21,34,65,86,107,152],"selection/learning":[22],"of":[23,77,109],"discriminative":[24],"features":[25,88],"that":[26,151],"are":[27],"in":[28,89],"turn":[29],"used":[30],"to":[31,84,94],"uniquely":[32],"characterize":[33],"objects.":[35],"This":[36],"paper":[37],"proposes":[38],"novel":[40,52],"evolutionary":[41],"feature":[42,54,92],"learning":[43,55,146],"(EFL)":[44],"technique":[45,101],"recognition.":[49],"The":[50,99],"proposed":[51,100,153],"automatic":[53],"approach":[56],"can":[57],"operate":[58],"directly":[59],"raw":[62],"data,":[63],"alleviating":[64],"need":[66],"data":[68,116,132,162],"pre-processing,":[69],"human":[70],"expertise":[71],"and/or":[72],"defining":[73],"large":[75],"set":[76],"parameters.":[78],"EFL":[79,154],"offers":[80],"smart":[81],"search":[82],"strategy":[83],"learn":[85],"best":[87],"huge":[91],"space":[93],"achieve":[95],"superior":[96,157],"performance.":[98],"has":[102],"been":[103],"extensively":[104],"evaluated":[105],"four":[114],"popular":[115],"sets":[117],"Washington":[119],"RGB-D":[120],"(low":[121],"resolution":[122],"Video),":[124],"CIN":[125],"2D3D,":[126],"Willow":[127],"2D3D":[128],"ETH-80":[130],"set.":[133],"Reported":[134],"experimental":[135],"results":[136],"evaluation":[138],"against":[139],"existing":[140],"state-of-the-art":[141],"methods":[142],"(e.g.,":[143],"unsupervised":[144],"dictionary":[145],"deep":[148],"networks)":[149],"show":[150],"consistently":[155],"achieves":[156],"performance":[158],"all":[160],"these":[161],"sets.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}