{"id":"https://openalex.org/W4404187927","doi":"https://doi.org/10.3390/computers13110290","title":"Modified Multiresolution Convolutional Neural Network for Quasi-Periodic Noise Reduction in Phase Shifting Profilometry for 3D Reconstruction","display_name":"Modified Multiresolution Convolutional Neural Network for Quasi-Periodic Noise Reduction in Phase Shifting Profilometry for 3D Reconstruction","publication_year":2024,"publication_date":"2024-11-08","ids":{"openalex":"https://openalex.org/W4404187927","doi":"https://doi.org/10.3390/computers13110290"},"language":"en","primary_location":{"id":"doi:10.3390/computers13110290","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers13110290","pdf_url":null,"source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/computers13110290","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078294859","display_name":"O. A. Espinosa-Bernal","orcid":"https://orcid.org/0000-0002-6730-2009"},"institutions":[{"id":"https://openalex.org/I157492648","display_name":"Autonomous University of Queretaro","ror":"https://ror.org/00v8fdc16","country_code":"MX","type":"education","lineage":["https://openalex.org/I157492648"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Osmar Antonio Espinosa-Bernal","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro 76010, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-6730-2009","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro 76010, Mexico","institution_ids":["https://openalex.org/I157492648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042447268","display_name":"Jes\u00fas Carlos Pedraza\u2010Ortega","orcid":"https://orcid.org/0000-0001-5125-8907"},"institutions":[{"id":"https://openalex.org/I157492648","display_name":"Autonomous University of Queretaro","ror":"https://ror.org/00v8fdc16","country_code":"MX","type":"education","lineage":["https://openalex.org/I157492648"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Jes\u00fas Carlos Pedraza-Ortega","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro 76010, Mexico"],"raw_orcid":"https://orcid.org/0000-0001-5125-8907","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro 76010, Mexico","institution_ids":["https://openalex.org/I157492648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036529804","display_name":"Marco Antonio Aceves-Fern\u00e1ndez","orcid":"https://orcid.org/0000-0002-5455-0329"},"institutions":[{"id":"https://openalex.org/I157492648","display_name":"Autonomous University of Queretaro","ror":"https://ror.org/00v8fdc16","country_code":"MX","type":"education","lineage":["https://openalex.org/I157492648"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Marco Antonio Aceves-Fernandez","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro 76010, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-5455-0329","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro 76010, Mexico","institution_ids":["https://openalex.org/I157492648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079762007","display_name":"Juan Manuel Ramos-Arregu\u00edn","orcid":"https://orcid.org/0000-0002-2604-9692"},"institutions":[{"id":"https://openalex.org/I157492648","display_name":"Autonomous University of Queretaro","ror":"https://ror.org/00v8fdc16","country_code":"MX","type":"education","lineage":["https://openalex.org/I157492648"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Juan Manuel Ramos-Arregu\u00edn","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro 76010, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-2604-9692","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro 76010, Mexico","institution_ids":["https://openalex.org/I157492648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054830331","display_name":"Sa\u00fal Tovar\u2010Arriaga","orcid":"https://orcid.org/0000-0002-2695-1934"},"institutions":[{"id":"https://openalex.org/I157492648","display_name":"Autonomous University of Queretaro","ror":"https://ror.org/00v8fdc16","country_code":"MX","type":"education","lineage":["https://openalex.org/I157492648"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Saul Tovar-Arriaga","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro 76010, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-2695-1934","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro 76010, Mexico","institution_ids":["https://openalex.org/I157492648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015458103","display_name":"Efr\u00e9n Gorrostieta-Hurtado","orcid":"https://orcid.org/0000-0003-2636-9642"},"institutions":[{"id":"https://openalex.org/I157492648","display_name":"Autonomous University of Queretaro","ror":"https://ror.org/00v8fdc16","country_code":"MX","type":"education","lineage":["https://openalex.org/I157492648"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Efr\u00e9n Gorrostieta-Hurtado","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro 76010, Mexico"],"raw_orcid":"https://orcid.org/0000-0003-2636-9642","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro 76010, Mexico","institution_ids":["https://openalex.org/I157492648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042447268","https://openalex.org/A5078294859"],"corresponding_institution_ids":["https://openalex.org/I157492648"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.2244,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53144014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"13","issue":"11","first_page":"290","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference 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"}},"topics":[{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference 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/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7828815579414368},{"id":"https://openalex.org/keywords/profilometer","display_name":"Profilometer","score":0.7557073831558228},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.7079769968986511},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6611607670783997},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5254228115081787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5177351832389832},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.49005353450775146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4653058648109436},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.43863773345947266},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.363625705242157},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.363071084022522},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.35638540983200073},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33614397048950195},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.30222171545028687},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23250049352645874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21092039346694946},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08365708589553833},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06906154751777649},{"id":"https://openalex.org/keywords/surface-finish","display_name":"Surface finish","score":0.0601806640625}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7828815579414368},{"id":"https://openalex.org/C79261456","wikidata":"https://www.wikidata.org/wiki/Q443756","display_name":"Profilometer","level":3,"score":0.7557073831558228},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.7079769968986511},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6611607670783997},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5254228115081787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5177351832389832},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.49005353450775146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4653058648109436},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.43863773345947266},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.363625705242157},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.363071084022522},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.35638540983200073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33614397048950195},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.30222171545028687},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23250049352645874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21092039346694946},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08365708589553833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06906154751777649},{"id":"https://openalex.org/C71039073","wikidata":"https://www.wikidata.org/wiki/Q3439090","display_name":"Surface finish","level":2,"score":0.0601806640625},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computers13110290","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers13110290","pdf_url":null,"source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c148087057274c428fd3813b44f87c6f","is_oa":false,"landing_page_url":"https://doaj.org/article/c148087057274c428fd3813b44f87c6f","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers, Vol 13, Iss 11, p 290 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computers13110290","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers13110290","pdf_url":null,"source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1241816316","https://openalex.org/W2026470677","https://openalex.org/W2045222221","https://openalex.org/W2055379870","https://openalex.org/W2064076387","https://openalex.org/W2079428383","https://openalex.org/W2127996129","https://openalex.org/W2158755508","https://openalex.org/W2238871805","https://openalex.org/W2337948630","https://openalex.org/W2583891464","https://openalex.org/W2748848225","https://openalex.org/W2795953499","https://openalex.org/W2798812073","https://openalex.org/W2802445786","https://openalex.org/W2808411313","https://openalex.org/W2903117379","https://openalex.org/W2981754492","https://openalex.org/W2990761542","https://openalex.org/W3016525206","https://openalex.org/W3039405393","https://openalex.org/W3041245031","https://openalex.org/W3096480087","https://openalex.org/W3103174683","https://openalex.org/W3140963551","https://openalex.org/W4220834897","https://openalex.org/W4283121479","https://openalex.org/W4295872763","https://openalex.org/W4311088269","https://openalex.org/W4312246546","https://openalex.org/W4312718590","https://openalex.org/W4313558738","https://openalex.org/W4320736143","https://openalex.org/W4321497943","https://openalex.org/W4380992178","https://openalex.org/W4382193354","https://openalex.org/W4384917038","https://openalex.org/W4385755820","https://openalex.org/W4388807192","https://openalex.org/W4390120075","https://openalex.org/W4390937897","https://openalex.org/W4396898756","https://openalex.org/W4399432805","https://openalex.org/W4401692204","https://openalex.org/W6628022317"],"related_works":["https://openalex.org/W2318290115","https://openalex.org/W581462317","https://openalex.org/W2204095332","https://openalex.org/W2360061061","https://openalex.org/W2582763622","https://openalex.org/W2094063693","https://openalex.org/W2349836732","https://openalex.org/W2011477640","https://openalex.org/W587195877","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Fringe":[0],"profilometry":[1],"is":[2,45,49,56,138],"a":[3,14,46,86,105,120],"method":[4],"that":[5,48,55,60,116],"obtains":[6],"the":[7,27,57,69,91,113,135,155],"3D":[8,28,71,87],"information":[9,29],"of":[10,16,96,102,122,131],"objects":[11],"by":[12,146],"projecting":[13],"pattern":[15],"fringes.":[17],"The":[18,94,143],"three-step":[19,136],"technique":[20,65,137],"uses":[21],"only":[22],"three":[23],"images":[24],"to":[25,39,51,63,80,84,90,108,109],"acquire":[26],"from":[30],"an":[31],"object,":[32],"and":[33,54,66,160],"many":[34,100],"studies":[35,75],"have":[36,76],"been":[37,77],"conducted":[38],"improve":[40],"this":[41,52,64,82,141],"technique.":[42],"However,":[43],"there":[44],"problem":[47,83],"inherent":[50],"technique,":[53],"quasi-periodic":[58,114],"noise":[59,115],"appears":[61],"due":[62],"considerably":[67],"affects":[68,117],"final":[70],"object":[72,88],"reconstructed.":[73],"Many":[74],"carried":[78],"out":[79],"tackle":[81],"obtain":[85],"close":[89],"original":[92,156],"one.":[93],"application":[95],"deep":[97],"learning":[98],"in":[99,134,140],"areas":[101],"research":[103],"presents":[104],"great":[106],"opportunity":[107],"reduce":[110],"or":[111],"eliminate":[112],"images.":[118],"Therefore,":[119],"model":[121],"convolutional":[123],"neural":[124],"network":[125],"along":[126],"with":[127,149,154],"four":[128],"different":[129,150],"patterns":[130],"frequencies":[132,151],"projected":[133],"researched":[139],"work.":[142],"inferences":[144],"produced":[145],"models":[147],"trained":[148],"are":[152],"compared":[153],"ones":[157],"both":[158],"qualitatively":[159],"quantitatively.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}