{"id":"https://openalex.org/W3163021468","doi":"https://doi.org/10.1109/icpr48806.2021.9412429","title":"Complex-Object Visual Inspection: Empirical Studies on A Multiple Lighting Solution","display_name":"Complex-Object Visual Inspection: Empirical Studies on A Multiple Lighting Solution","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3163021468","doi":"https://doi.org/10.1109/icpr48806.2021.9412429","mag":"3163021468"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5024465313","display_name":"Maya Aghaei","orcid":null},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maya Aghaei","raw_affiliation_strings":["Pattern Analysis & Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Analysis & Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041800318","display_name":"Matteo Bustreo","orcid":"https://orcid.org/0000-0003-2555-2373"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Bustreo","raw_affiliation_strings":["University of Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017103754","display_name":"Pietro Morerio","orcid":"https://orcid.org/0000-0001-5259-1496"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pietro Morerio","raw_affiliation_strings":["Pattern Analysis & Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Analysis & Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024908983","display_name":"Nicol\u00f2 Carissimi","orcid":"https://orcid.org/0000-0001-7764-4013"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicolo Carissimi","raw_affiliation_strings":["Pattern Analysis & Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Analysis & Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046971342","display_name":"Alessio Del Bue","orcid":"https://orcid.org/0000-0002-2262-4872"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessio Del Bue","raw_affiliation_strings":["Pattern Analysis & Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Analysis & Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007242502","display_name":"Vittorio Murino","orcid":"https://orcid.org/0000-0002-8645-2328"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vittorio Murino","raw_affiliation_strings":["University of Verona, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Verona, Italy","institution_ids":["https://openalex.org/I119439378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1512,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53275124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"96","issue":null,"first_page":"2430","last_page":"2437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10638","display_name":"Optical measurement and interference techniques","score":0.9979000091552734,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.7630351781845093},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.682622492313385},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6072051525115967},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5956193208694458},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5508166551589966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5247499942779541},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.514385998249054},{"id":"https://openalex.org/keywords/visual-inspection","display_name":"Visual inspection","score":0.45422250032424927},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.44219258427619934},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4402271807193756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7630351781845093},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.682622492313385},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6072051525115967},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5956193208694458},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5508166551589966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5247499942779541},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.514385998249054},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.45422250032424927},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.44219258427619934},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4402271807193756},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1410291062","https://openalex.org/W1861492603","https://openalex.org/W1965696824","https://openalex.org/W1988435901","https://openalex.org/W2007020941","https://openalex.org/W2104403899","https://openalex.org/W2119880094","https://openalex.org/W2120930809","https://openalex.org/W2328269487","https://openalex.org/W2332733735","https://openalex.org/W2344428106","https://openalex.org/W2527787519","https://openalex.org/W2613000917","https://openalex.org/W2759653142","https://openalex.org/W2783300979","https://openalex.org/W2794865285","https://openalex.org/W2796347433","https://openalex.org/W2809440904","https://openalex.org/W2952508945","https://openalex.org/W2957908269","https://openalex.org/W4293584584","https://openalex.org/W6639102338","https://openalex.org/W6678337835","https://openalex.org/W6737579538","https://openalex.org/W6749962334"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"The":[0],"design":[1,176],"of":[2,44,117,126,133,156],"an":[3,99,114],"automatic":[4],"visual":[5,102],"inspection":[6,103],"system":[7,104,175,187],"is":[8],"usually":[9],"performed":[10],"in":[11,19,89,97,119,177,184],"two":[12],"stages.":[13],"While":[14],"the":[15,21,30,33,38,42,49,53,81,86,90,95,109,124,127,154,170,174,178,185],"first":[16],"stage":[17,40],"consists":[18],"selecting":[20],"most":[22,28],"suitable":[23],"hardware":[24],"setup":[25,65,88,129],"for":[26,130],"highlighting":[27],"effectively":[29],"defects":[31],"on":[32,108],"surface":[34,141],"to":[35,47,70,172,182],"be":[36,106,145],"inspected,":[37],"second":[39],"concerns":[41],"development":[43],"algorithmic":[45],"solutions":[46],"exploit":[48],"potentials":[50],"offered":[51],"by":[52,84],"collected":[54],"data.":[55],"In":[56],"this":[57,120],"paper,":[58,121],"first,":[59],"we":[60,79,122,150],"present":[61],"a":[62,147],"novel":[63],"illumination":[64,68,132],"embedding":[66],"four":[67],"configurations":[69,159],"resemble":[71],"diffused,":[72],"dark-field,":[73],"and":[74,163],"front":[75],"lighting":[76],"techniques.":[77],"Second,":[78],"analyze":[80],"contributions":[82],"brought":[83],"deploying":[85],"proposed":[87,128],"training":[91,162],"phase":[92],"only,":[93],"mimicking":[94],"scenario":[96],"which":[98],"already":[100],"developed":[101],"cannot":[105,144],"modified":[107],"customer":[110],"site.":[111],"Along":[112],"with":[113,139],"exhaustive":[115],"set":[116],"experiments,":[118],"demonstrate":[123],"suitability":[125],"effective":[131],"complex-objects,":[134],"defined":[135],"as":[136],"manufactured":[137],"items":[138],"variable":[140],"characteristics":[142],"that":[143],"determined":[146],"priori.":[148],"Eventually,":[149],"provide":[151],"insights":[152],"into":[153],"importance":[155],"multiple":[157],"light":[158],"availability":[160],"during":[161],"their":[164],"natural":[165],"boosting":[166],"effect":[167],"which,":[168],"without":[169],"need":[171],"modify":[173],"evaluation":[179],"phase,":[180],"lead":[181],"improvements":[183],"overall":[186],"performance.":[188]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}