{"id":"https://openalex.org/W3036100815","doi":"https://doi.org/10.1109/tii.2020.3003455","title":"Robust and Fast 3-D Saliency Mapping for Industrial Modeling Applications","display_name":"Robust and Fast 3-D Saliency Mapping for Industrial Modeling Applications","publication_year":2020,"publication_date":"2020-06-18","ids":{"openalex":"https://openalex.org/W3036100815","doi":"https://doi.org/10.1109/tii.2020.3003455","mag":"3036100815"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2020.3003455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tii.2020.3003455","pdf_url":"https://ieeexplore.ieee.org/ielx7/9424/9264783/09120202.pdf","source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/9424/9264783/09120202.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003278899","display_name":"Gerasimos Arvanitis","orcid":"https://orcid.org/0000-0001-8149-5188"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Gerasimos Arvanitis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Patras, Rion Patras, Greece"],"raw_orcid":"https://orcid.org/0000-0001-8149-5188","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Patras, Rion Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086877328","display_name":"Aris S. Lalos","orcid":"https://orcid.org/0000-0003-0511-9302"},"institutions":[{"id":"https://openalex.org/I4210135709","display_name":"Industrial Systems Institute","ror":"https://ror.org/02sy6k521","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210135709"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aris S. Lalos","raw_affiliation_strings":["Industrial Systems Institute, Athena Research Center, Rion Patras, Greece"],"raw_orcid":"https://orcid.org/0000-0003-0511-9302","affiliations":[{"raw_affiliation_string":"Industrial Systems Institute, Athena Research Center, Rion Patras, Greece","institution_ids":["https://openalex.org/I4210135709"]}]},{"author_position":"last","author":{"id":null,"display_name":"Konstantinos Moustakas","orcid":"https://orcid.org/0000-0001-8545-3110"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Moustakas","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Patras, Rion Patras, Greece"],"raw_orcid":"https://orcid.org/0000-0001-8545-3110","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Patras, Rion Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8811,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76214508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"2","first_page":"1307","last_page":"1317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9890000224113464,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9865000247955322,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.719188928604126},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6293973922729492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6149941682815552},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48880645632743835},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.456043541431427},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42505279183387756},{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.42162764072418213},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.41905418038368225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4155847430229187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41286253929138184},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2021801471710205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.719188928604126},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6293973922729492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6149941682815552},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48880645632743835},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.456043541431427},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42505279183387756},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.42162764072418213},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.41905418038368225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4155847430229187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41286253929138184},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2021801471710205},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/tii.2020.3003455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tii.2020.3003455","pdf_url":"https://ieeexplore.ieee.org/ielx7/9424/9264783/09120202.pdf","source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:5016906","is_oa":true,"landing_page_url":"https://zenodo.org/record/5016906","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Industrial Informatics 17(2) 1307 - 1317","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/tii.2020.3003455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tii.2020.3003455","pdf_url":"https://ieeexplore.ieee.org/ielx7/9424/9264783/09120202.pdf","source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G6853137393","display_name":"Cross-layer cognitive optimization tools & methods for the lifecycle support of dependable CPSoS","funder_award_id":"871738","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3036100815.pdf","grobid_xml":"https://content.openalex.org/works/W3036100815.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1987423623","https://openalex.org/W2051448670","https://openalex.org/W2087509227","https://openalex.org/W2088552340","https://openalex.org/W2097869901","https://openalex.org/W2097980305","https://openalex.org/W2098350864","https://openalex.org/W2100914378","https://openalex.org/W2116014169","https://openalex.org/W2125065112","https://openalex.org/W2145962650","https://openalex.org/W2161164049","https://openalex.org/W2272596542","https://openalex.org/W2295382923","https://openalex.org/W2295662583","https://openalex.org/W2340988230","https://openalex.org/W2461132337","https://openalex.org/W2507389642","https://openalex.org/W2508891326","https://openalex.org/W2550079483","https://openalex.org/W2562663046","https://openalex.org/W2701285376","https://openalex.org/W2755616780","https://openalex.org/W2793110797","https://openalex.org/W2891975301","https://openalex.org/W2892804465","https://openalex.org/W2897394679","https://openalex.org/W2910597635","https://openalex.org/W2947689748","https://openalex.org/W2950119225","https://openalex.org/W2964141345","https://openalex.org/W3003336386","https://openalex.org/W4243723963"],"related_works":["https://openalex.org/W2975200075","https://openalex.org/W2007544051","https://openalex.org/W1837097281","https://openalex.org/W1966410754","https://openalex.org/W2363840281","https://openalex.org/W2325242284","https://openalex.org/W2789220062","https://openalex.org/W2030539674","https://openalex.org/W2095705906","https://openalex.org/W2162828438"],"abstract_inverted_index":{"New":[0],"generation":[1],"3-D":[2,47,60,62,82,103,117,128],"scanning":[3],"technologies":[4],"are":[5],"expected":[6],"to":[7,50,55,142],"create":[8],"a":[9,16,51,59,77,96,124],"revolution":[10],"at":[11],"the":[12,28,46,68,134,137,149,157],"Industry":[13],"4.0,":[14],"facilitating":[15],"large":[17,78,125],"number":[18,79,126],"of":[19,31,45,58,70,80,127,136,159],"virtual":[20],"manufacturing":[21],"tools":[22],"and":[23,53,73,89,98,110,130,145],"systems.":[24],"Such":[25],"applications":[26,84],"require":[27],"accurate":[29],"representation":[30,57],"physical":[32],"objects":[33],"and/or":[34],"systems":[35],"achieved":[36],"through":[37],"saliency":[38,63,104],"estimation":[39],"mechanisms":[40],"that":[41,106],"identify":[42],"certain":[43],"areas":[44],"model,":[48],"leading":[49],"meaningful":[52],"easier":[54],"analyze":[56],"object.":[61],"mapping":[64],"is,":[65],"therefore,":[66],"guiding":[67],"selection":[69],"feature":[71],"locations":[72],"is":[74],"adopted":[75],"in":[76,114],"low-level":[81],"processing":[83],"including":[85],"denoising,":[86],"compression,":[87],"simplification,":[88],"registration.":[90],"In":[91],"this":[92],"article,":[93],"we":[94],"propose":[95],"robust":[97],"fast":[99],"method":[100,139],"for":[101],"creating":[102],"maps":[105],"accurately":[107],"identifies":[108],"sharp":[109],"small-scale":[111],"geometric":[112],"features":[113],"various":[115],"industrial":[116],"models.":[118],"An":[119],"extensive":[120],"experimental":[121],"study":[122],"using":[123],"scanned":[129],"CAD":[131],"models":[132],"verifies":[133],"effectiveness":[135],"proposed":[138],"as":[140],"compared":[141],"other":[143],"recent":[144],"relevant":[146],"approaches":[147],"despite":[148],"constraints":[150],"posed":[151],"by":[152],"complex":[153],"geometry":[154],"patterns":[155],"or":[156],"presence":[158],"noise.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
