{"id":"https://openalex.org/W2970904125","doi":"https://doi.org/10.1109/icip.2019.8803414","title":"Facial Pore Detection Based on Characteristics of Skin Pigment Distribution","display_name":"Facial Pore Detection Based on Characteristics of Skin Pigment Distribution","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970904125","doi":"https://doi.org/10.1109/icip.2019.8803414","mag":"2970904125"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5100779510","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-5799-489X"},"institutions":[{"id":"https://openalex.org/I193524592","display_name":"Tianjin University of Finance and Economics","ror":"https://ror.org/05ev1jb90","country_code":"CN","type":"education","lineage":["https://openalex.org/I193524592"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["Tianjin University of Finance and Economics, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Finance and Economics, Tianjin, China","institution_ids":["https://openalex.org/I193524592"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101429012","display_name":"Ruoxuan Li","orcid":"https://orcid.org/0000-0003-4953-5973"},"institutions":[{"id":"https://openalex.org/I193524592","display_name":"Tianjin University of Finance and Economics","ror":"https://ror.org/05ev1jb90","country_code":"CN","type":"education","lineage":["https://openalex.org/I193524592"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoxuan Li","raw_affiliation_strings":["Tianjin University of Finance and Economics, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Finance and Economics, Tianjin, China","institution_ids":["https://openalex.org/I193524592"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.221,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6210434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"4439","last_page":"4443"},"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":0.9943000078201294,"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":0.9943000078201294,"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/T11666","display_name":"Color Science and Applications","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9563999772071838,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6873982548713684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6237527132034302},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.621504545211792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.58222496509552},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5572835206985474},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.540269672870636},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.518913745880127},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4581978917121887},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.4187649190425873},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4172675609588623},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.38816654682159424},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3632662892341614},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3534567654132843},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3221879005432129}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6873982548713684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6237527132034302},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.621504545211792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.58222496509552},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5572835206985474},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.540269672870636},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.518913745880127},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4581978917121887},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.4187649190425873},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4172675609588623},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.38816654682159424},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3632662892341614},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3534567654132843},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3221879005432129},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.75,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1566413196","https://openalex.org/W1583754236","https://openalex.org/W1975053488","https://openalex.org/W2030720559","https://openalex.org/W2058986412","https://openalex.org/W2070230712","https://openalex.org/W2073438174","https://openalex.org/W2076597049","https://openalex.org/W2085283108","https://openalex.org/W2086197761","https://openalex.org/W2119605622","https://openalex.org/W2124618836","https://openalex.org/W2151103935","https://openalex.org/W2184567496","https://openalex.org/W2345360858","https://openalex.org/W2533915197","https://openalex.org/W2546850645","https://openalex.org/W2549328289","https://openalex.org/W2765274897","https://openalex.org/W2769517291","https://openalex.org/W2791968630","https://openalex.org/W4210939028","https://openalex.org/W4285719527","https://openalex.org/W6634143216","https://openalex.org/W6686429127"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2755342338","https://openalex.org/W2036807459","https://openalex.org/W1969923398","https://openalex.org/W1837097281","https://openalex.org/W2772917594","https://openalex.org/W2058170566","https://openalex.org/W2110717643","https://openalex.org/W2079911747","https://openalex.org/W2166024367"],"abstract_inverted_index":{"The":[0,137],"facial":[1,36,62],"pore":[2,37,63,145],"feature":[3],"is":[4],"one":[5],"of":[6,44,57,70,110,131,143],"the":[7,29,42,55,68,86,95,100,107,111,119,129,141,144],"crucial":[8],"indicators":[9],"for":[10,135],"face":[11],"recognition":[12],"and":[13,25,48,81,93],"skin":[14,45,59,71,87,132],"evaluation.":[15],"However,":[16],"pores":[17],"are":[18,21],"tiny,":[19],"which":[20,51],"difficult":[22],"to":[23,84,105,126],"detect":[24,85],"analysis":[26],"based":[27],"on":[28,74,89,115],"digital":[30],"image.":[31],"We":[32],"proposed":[33],"a":[34],"new":[35],"detection":[38,64,146],"algorithm":[39],"that":[40],"combines":[41],"characteristics":[43],"pigment":[46,72,76,91],"distribution":[47,73],"optimal":[49,120],"scale,":[50],"can":[52],"effectively":[53],"eliminate":[54],"effect":[56],"complicated":[58],"interferences":[60,130],"from":[61],"processing.":[65],"First,":[66],"considering":[67],"dissimilarity":[69],"different":[75,90,116],"layers,":[77],"we":[78],"used":[79],"SURF":[80],"SIFT":[82],"algorithms":[83],"features":[88,133],"layers":[92],"calculated":[94,104],"threshold":[96],"by":[97],"DBSCAN.":[98],"Then,":[99],"Euclid":[101],"distance":[102],"was":[103],"describe":[106],"positions":[108],"similarity":[109],"same":[112],"detected":[113],"points":[114],"layers.":[117],"Last,":[118],"scales":[121],"were":[122],"set":[123],"as":[124],"thresholds":[125],"screen":[127],"off":[128],"except":[134],"pores.":[136],"experiment":[138],"results":[139],"confirm":[140],"improvement":[142],"accuracy.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
