{"id":"https://openalex.org/W4312986206","doi":"https://doi.org/10.1109/access.2022.3214003","title":"A Comprehensive Real-World Photometric Stereo Dataset for Unsupervised Anomaly Detection","display_name":"A Comprehensive Real-World Photometric Stereo Dataset for Unsupervised Anomaly Detection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312986206","doi":"https://doi.org/10.1109/access.2022.3214003"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3214003","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3214003","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09916256.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":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://ieeexplore.ieee.org/ielx7/6287639/6514899/09916256.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006499741","display_name":"Junyong Jung","orcid":"https://orcid.org/0000-0003-1218-8859"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junyong Jung","raw_affiliation_strings":["Department of Electronics Engineering, Chungnam National University, Yuseong-gu, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-1218-8859","affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Chungnam National University, Yuseong-gu, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004840575","display_name":"Seungoh Han","orcid":null},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungoh Han","raw_affiliation_strings":["Department of Computer Science and Engineering, Chungnam National University, Yuseong-gu, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chungnam National University, Yuseong-gu, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079380164","display_name":"Jinsun Park","orcid":"https://orcid.org/0000-0002-2296-819X"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinsun Park","raw_affiliation_strings":["School of Computer Science and Engineering, Pusan National University (PNU), Busan, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-2296-819X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Pusan National University (PNU), Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016424347","display_name":"Donghyeon Cho","orcid":"https://orcid.org/0000-0002-2184-921X"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Donghyeon Cho","raw_affiliation_strings":["Department of Electronics Engineering, Chungnam National University, Yuseong-gu, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-2184-921X","affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Chungnam National University, Yuseong-gu, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.116,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54776959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"108914","last_page":"108923"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9361000061035156,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9204999804496765,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.89986252784729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7600655555725098},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6853002905845642},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6526386737823486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6135827898979187},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49498051404953003},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4882833957672119},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4111323356628418},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39441758394241333},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09792771935462952}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.89986252784729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600655555725098},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6853002905845642},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6526386737823486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6135827898979187},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49498051404953003},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4882833957672119},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4111323356628418},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39441758394241333},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09792771935462952},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/access.2022.3214003","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3214003","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09916256.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:27e38a22e9df4db68860bcd8ecb25e10","is_oa":true,"landing_page_url":"https://doaj.org/article/27e38a22e9df4db68860bcd8ecb25e10","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 10, Pp 108914-108923 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3214003","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3214003","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09916256.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":null,"license_id":null,"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/G2811919172","display_name":null,"funder_award_id":"RS-2022-00155857","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G30685149","display_name":null,"funder_award_id":"BK21 FOUR","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G348510476","display_name":null,"funder_award_id":"2021R1A4A1032580","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4372778855","display_name":null,"funder_award_id":"No.2022R1C1C1009334","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4747552207","display_name":null,"funder_award_id":"No.2021R1A4A1032580","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4939975072","display_name":null,"funder_award_id":"RS-2022-00155857","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6789273066","display_name":null,"funder_award_id":"RS-2022-00155857","funder_id":"https://openalex.org/F4320321204","funder_display_name":"Chungnam National University"},{"id":"https://openalex.org/G7240591707","display_name":null,"funder_award_id":"2021R1A4A1032580","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321204","display_name":"Chungnam National University","ror":"https://ror.org/0227as991"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312986206.pdf","grobid_xml":"https://content.openalex.org/works/W4312986206.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1901129140","https://openalex.org/W1975089519","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2599354622","https://openalex.org/W2750384547","https://openalex.org/W2752782242","https://openalex.org/W2914570111","https://openalex.org/W2948982773","https://openalex.org/W2963045681","https://openalex.org/W2978971541","https://openalex.org/W2996651271","https://openalex.org/W3034314048","https://openalex.org/W3034552520","https://openalex.org/W3118608800","https://openalex.org/W3118895125","https://openalex.org/W3147184966","https://openalex.org/W3160366495","https://openalex.org/W3166166117","https://openalex.org/W3169077988","https://openalex.org/W4251690372","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6743688258","https://openalex.org/W6751494907","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4390721878","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969"],"abstract_inverted_index":{"Unsupervised":[0],"anomaly":[1,23,72,90,111,172],"detection":[2,24,73,91,112,139,173],"is":[3,25,57],"a":[4,8,42,64,88,129,160],"technology":[5],"that":[6,28],"trains":[7],"model":[9,74],"to":[10,48,59,114,118],"detect":[11,49],"anomalies":[12,50],"using":[13,75,145,159],"only":[14],"normal":[15],"data.":[16],"One":[17],"of":[18,22,151],"the":[19,52,95],"main":[20],"challenges":[21],"detecting":[26],"defects":[27],"are":[29],"not":[30],"visible":[31],"or":[32],"obscured":[33],"by":[34],"lighting":[35,81],"conditions.":[36,82],"However,":[37],"most":[38],"existing":[39,110],"methods":[40,113],"use":[41],"single":[43,161],"image":[44,162],"as":[45],"an":[46,71],"input":[47],"in":[51],"target":[53],"object,":[54],"thus":[55],"it":[56],"difficult":[58],"properly":[60],"cope":[61],"with":[62],"such":[63],"challenge.":[65],"In":[66,106],"this":[67,84],"paper,":[68],"we":[69,86,108,127],"explore":[70],"multiple":[76,146],"images":[77,147],"taken":[78],"under":[79],"different":[80],"For":[83],"purpose,":[85],"propose":[87],"new":[89,116,143],"dataset":[92,117,174],"based":[93,140],"on":[94,141],"photometric":[96],"stereo":[97],"(PS)":[98],"setup,":[99],"and":[100,104,122,134,154,166,175],"demonstrate":[101],"its":[102],"characteristics":[103],"advantages.":[105],"addition,":[107],"apply":[109],"our":[115,142],"verify":[119],"their":[120],"performance":[121],"present":[123,128],"benchmark":[124],"results.":[125],"Furthermore,":[126],"technique":[130],"for":[131,163,182],"fusing":[132],"multi-image":[133],"3D":[135],"surface":[136],"information.":[137],"Anomaly":[138],"setup":[144,158],"achieves":[148],"dramatic":[149],"improvement":[150],"+10.15%,":[152],"+11.68%":[153],"+4.38%":[155],"over":[156],"baseline":[157],"Skip-GANomaly,":[164],"MKDAD":[165],"DifferNet":[167],"models,":[168],"respectively.":[169],"Our":[170],"PS-based":[171],"analysis":[176],"reports":[177],"will":[178],"be":[179],"publicly":[180],"available":[181],"future":[183],"researches.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}