{"id":"https://openalex.org/W3045735558","doi":"https://doi.org/10.1109/access.2020.3012130","title":"Augmented Reality Dynamic Image Recognition Technology Based on Deep Learning Algorithm","display_name":"Augmented Reality Dynamic Image Recognition Technology Based on Deep Learning Algorithm","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3045735558","doi":"https://doi.org/10.1109/access.2020.3012130","mag":"3045735558"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3012130","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012130","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09149876.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://ieeexplore.ieee.org/ielx7/6287639/8948470/09149876.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102983741","display_name":"Qiuyun Cheng","orcid":"https://orcid.org/0000-0002-3148-2298"},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuyun Cheng","raw_affiliation_strings":["School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3148-2298","affiliations":[{"raw_affiliation_string":"School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China","institution_ids":["https://openalex.org/I192868223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378878","display_name":"Sen Zhang","orcid":"https://orcid.org/0000-0001-9839-5722"},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Zhang","raw_affiliation_strings":["School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9839-5722","affiliations":[{"raw_affiliation_string":"School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China","institution_ids":["https://openalex.org/I192868223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101876117","display_name":"Shukui Bo","orcid":"https://orcid.org/0000-0002-6152-8541"},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shukui Bo","raw_affiliation_strings":["School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6152-8541","affiliations":[{"raw_affiliation_string":"School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China","institution_ids":["https://openalex.org/I192868223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017440369","display_name":"Dengxi Chen","orcid":"https://orcid.org/0000-0002-6906-5158"},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengxi Chen","raw_affiliation_strings":["School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6906-5158","affiliations":[{"raw_affiliation_string":"School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China","institution_ids":["https://openalex.org/I192868223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100458470","display_name":"Haijun Zhang","orcid":"https://orcid.org/0000-0003-2289-5135"},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijun Zhang","raw_affiliation_strings":["School of Aeronautical Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2289-5135","affiliations":[{"raw_affiliation_string":"School of Aeronautical Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China","institution_ids":["https://openalex.org/I192868223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0557,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.89167632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"137370","last_page":"137384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9516000151634216,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9516000151634216,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9503999948501587,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9484000205993652,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7377949357032776},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.6464556455612183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5398056507110596},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45325005054473877},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45230674743652344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4293387234210968},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33660638332366943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377949357032776},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.6464556455612183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5398056507110596},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45325005054473877},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45230674743652344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4293387234210968},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33660638332366943}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3012130","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012130","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09149876.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f409a38c28c645f293f58b1e72914b29","is_oa":true,"landing_page_url":"https://doaj.org/article/f409a38c28c645f293f58b1e72914b29","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 8, Pp 137370-137384 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3012130","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012130","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09149876.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2312727528","display_name":null,"funder_award_id":"51705472","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5030467107","display_name":null,"funder_award_id":"U1904119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045735558.pdf","grobid_xml":"https://content.openalex.org/works/W3045735558.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W2286686646","https://openalex.org/W2607306668","https://openalex.org/W2609880332","https://openalex.org/W2613962421","https://openalex.org/W2747705082","https://openalex.org/W2754722315","https://openalex.org/W2783444794","https://openalex.org/W2783780959","https://openalex.org/W2786671750","https://openalex.org/W2789956930","https://openalex.org/W2791743043","https://openalex.org/W2794803511","https://openalex.org/W2801866677","https://openalex.org/W2807731816","https://openalex.org/W2808362157","https://openalex.org/W2809565035","https://openalex.org/W2871166210","https://openalex.org/W2884281122","https://openalex.org/W2886555888","https://openalex.org/W2891367133","https://openalex.org/W2893356526","https://openalex.org/W2896760986","https://openalex.org/W2899808457","https://openalex.org/W2906093258","https://openalex.org/W2907088929","https://openalex.org/W2907100627","https://openalex.org/W2907632336","https://openalex.org/W2907688358","https://openalex.org/W2909158354","https://openalex.org/W2926848333","https://openalex.org/W2942454403","https://openalex.org/W2943270518","https://openalex.org/W2944512710","https://openalex.org/W2950266692","https://openalex.org/W2950839012","https://openalex.org/W2951778096","https://openalex.org/W2962838801","https://openalex.org/W2962850795","https://openalex.org/W2962888073","https://openalex.org/W2962967183","https://openalex.org/W2963178695","https://openalex.org/W2963459284","https://openalex.org/W2964189045","https://openalex.org/W2964194231","https://openalex.org/W3098829776","https://openalex.org/W3100011500","https://openalex.org/W3101640299","https://openalex.org/W3102190975","https://openalex.org/W3102278250","https://openalex.org/W3102733987","https://openalex.org/W3106239502","https://openalex.org/W3135566152","https://openalex.org/W6792011059"],"related_works":["https://openalex.org/W2172197285","https://openalex.org/W2991048842","https://openalex.org/W2750280393","https://openalex.org/W2355696739","https://openalex.org/W3158001554","https://openalex.org/W2771909920","https://openalex.org/W2957704286","https://openalex.org/W2028936041","https://openalex.org/W2179141964","https://openalex.org/W4382054174"],"abstract_inverted_index":{"Augmented":[0],"reality":[1,23],"is":[2,227],"a":[3,93,156,210],"research":[4,194],"hotspot":[5],"developed":[6],"on":[7],"the":[8,18,38,78,85,112,116,120,129,146,177,202,216,220,224],"basis":[9],"of":[10,21,40,81,115,142,145,159],"virtual":[11],"reality.":[12],"Friendly":[13],"human-computer":[14],"interaction":[15],"interface":[16],"makes":[17],"application":[19],"prospect":[20],"augmented":[22],"technology":[24],"very":[25,211],"broad.":[26],"Convolutional":[27],"neural":[28,65,75,95,149,153],"networks":[29,66],"in":[30,37,48,215,223],"deep":[31,54],"learning":[32,55,59,105],"have":[33,207],"been":[34],"widely":[35],"used":[36],"field":[39],"computer":[41],"vision":[42],"and":[43,56,83,119,140,161,171,186,219],"become":[44],"an":[45],"important":[46],"weapon":[47],"dynamic":[49,203],"image":[50,71,204],"recognition":[51,109,113,205],"tasks.":[52],"Combining":[53],"traditional":[57],"machine":[58],"techniques,":[60],"this":[61],"article":[62,91],"uses":[63,77,84,155,162],"convolutional":[64,74,94,148,152],"to":[67,209],"extract":[68],"features":[69,82],"from":[70],"data.":[72],"The":[73,151,193],"network":[76,96,154],"last":[79],"layer":[80],"softmax":[86],"recognizer":[87],"for":[88],"recognition.":[89],"This":[90],"combines":[92],"that":[97,106,197],"can":[98],"learn":[99],"good":[100,108],"feature":[101,143],"information":[102],"with":[103,184],"integrated":[104],"has":[107],"effects.":[110],"In":[111,175],"tasks":[114],"MNIST":[117,217],"database":[118,226],"CIFAR-10":[121,225],"database,":[122,218],"comparison":[123],"experiments":[124],"were":[125],"performed":[126],"by":[127],"adjusting":[128],"hierarchical":[130,173],"structure,":[131],"activation":[132,179],"function,":[133,180],"descent":[134,182],"algorithm,":[135],"data":[136,188],"enhancement,":[137],"pooling":[138,157],"selection,":[139],"number":[141],"maps":[144],"improved":[147],"network.":[150],"size":[158],"3*3,":[160],"more":[163,172],"cores":[164],"(above":[165],"64),":[166],"small":[167],"receptive":[168],"fields":[169],"(2*2),":[170],"structures.":[174],"addition,":[176],"Relu":[178],"gradient":[181],"algorithm":[183],"momentum,":[185],"enhanced":[187],"set":[189],"are":[190],"also":[191,228],"used.":[192],"results":[195,206],"show":[196],"under":[198],"certain":[199],"experimental":[200],"conditions,":[201],"dropped":[208],"low":[212],"error":[213,221],"rate":[214,222],"ideal.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
