{"id":"https://openalex.org/W2786769910","doi":"https://doi.org/10.1109/btas.2017.8272735","title":"A method for 3D iris reconstruction from multiple 2D near-infrared images","display_name":"A method for 3D iris reconstruction from multiple 2D near-infrared images","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2786769910","doi":"https://doi.org/10.1109/btas.2017.8272735","mag":"2786769910"},"language":"en","primary_location":{"id":"doi:10.1109/btas.2017.8272735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2017.8272735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Joint Conference on Biometrics (IJCB)","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/A5047052256","display_name":"Diego Bastias","orcid":"https://orcid.org/0000-0002-5169-5901"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Diego Bastias","raw_affiliation_strings":["Department of Electrical Engineering and Advanced Mining Technology Center, Universidad de Chile"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Advanced Mining Technology Center, Universidad de Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101809187","display_name":"Carlos A. Perez","orcid":"https://orcid.org/0000-0002-5484-4159"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Claudio A. Perez","raw_affiliation_strings":["Department of Electrical Engineering and Advanced Mining Technology Center, Universidad de Chile"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Advanced Mining Technology Center, Universidad de Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049786310","display_name":"Daniel Benalcazar","orcid":"https://orcid.org/0000-0002-2030-9449"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Daniel P. Benalcazar","raw_affiliation_strings":["Department of Electrical Engineering and Advanced Mining Technology Center, Universidad de Chile"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Advanced Mining Technology Center, Universidad de Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019673624","display_name":"Kevin W. Bowyer","orcid":"https://orcid.org/0000-0002-7562-4390"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin W. Bowyer","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047052256"],"corresponding_institution_ids":["https://openalex.org/I69737025"],"apc_list":null,"apc_paid":null,"fwci":1.4794,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84420065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10751","display_name":"Forensic and Genetic Research","score":0.9564999938011169,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.8931480646133423},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.8259470462799072},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8137561082839966},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.757317066192627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7572504281997681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7570196390151978},{"id":"https://openalex.org/keywords/specular-highlight","display_name":"Specular highlight","score":0.6128872632980347},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45039102435112},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44641152024269104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38998863101005554},{"id":"https://openalex.org/keywords/specular-reflection","display_name":"Specular reflection","score":0.22117570042610168},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08763283491134644}],"concepts":[{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.8931480646133423},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.8259470462799072},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8137561082839966},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.757317066192627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7572504281997681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7570196390151978},{"id":"https://openalex.org/C50045419","wikidata":"https://www.wikidata.org/wiki/Q7575328","display_name":"Specular highlight","level":3,"score":0.6128872632980347},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45039102435112},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44641152024269104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38998863101005554},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.22117570042610168},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08763283491134644},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/btas.2017.8272735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2017.8272735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5400000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309593","display_name":"Utah Agricultural Experiment Station","ror":"https://ror.org/00h6set76"},{"id":"https://openalex.org/F4320323458","display_name":"Universidad de Chile","ror":"https://ror.org/047gc3g35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W156376213","https://openalex.org/W157158741","https://openalex.org/W1557416197","https://openalex.org/W1974821667","https://openalex.org/W1985110735","https://openalex.org/W1998448417","https://openalex.org/W2025546194","https://openalex.org/W2032730676","https://openalex.org/W2033819227","https://openalex.org/W2056016132","https://openalex.org/W2092988036","https://openalex.org/W2102796633","https://openalex.org/W2122300978","https://openalex.org/W2156662784","https://openalex.org/W2239044794","https://openalex.org/W2259839829","https://openalex.org/W2320355672","https://openalex.org/W2340916230","https://openalex.org/W2406143150","https://openalex.org/W4213215721","https://openalex.org/W6606412717","https://openalex.org/W6683027202","https://openalex.org/W6692380088","https://openalex.org/W6713123037"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2018223046","https://openalex.org/W2151970936","https://openalex.org/W2759939383","https://openalex.org/W2294693339","https://openalex.org/W2557390811","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W3133795085","https://openalex.org/W4231710054"],"abstract_inverted_index":{"The":[0,56,113,138],"need":[1],"to":[2,47,62,76,93],"verify":[3],"identity":[4],"has":[5,36],"become":[6],"an":[7],"everyday":[8],"experience":[9],"for":[10,18,32,107],"most":[11,28],"people.":[12,22],"Biometrics":[13],"is":[14,26,61,141],"the":[15,27,42,50,86,101,120,142],"principal":[16],"means":[17],"reliable":[19,29],"identification":[20],"of":[21,41,58,100,122],"Although":[23],"iris":[24,43,64,71,77,87,110,124,135,144,151],"recognition":[25],"current":[30],"technique":[31],"biometric":[33],"identification,":[34],"it":[35,91],"limitations":[37],"because":[38],"only":[39],"segments":[40],"are":[44,161],"available":[45],"due":[46],"occlusions":[48],"from":[49,66,85,96,158],"eyelids,":[51],"eyelashes,":[52],"specular":[53],"highlights,":[54],"etc.":[55],"goal":[57,121],"this":[59],"research":[60],"study":[63],"reconstruction":[65,146],"several":[67,149],"2D":[68,108,150],"near":[69],"infrared":[70],"images,":[72],"adding":[73,82],"depth":[74,83],"information":[75,84],"recognition.":[78],"We":[79,103],"expect":[80],"that":[81],"surface":[88],"will":[89],"make":[90],"possible":[92],"identify":[94],"people":[95],"a":[97,105,116],"smaller":[98],"segment":[99],"iris.":[102],"designed":[104],"sensor":[106],"near-infrared":[109],"image":[111],"acquisition.":[112],"method":[114],"follows":[115],"pre-processing":[117],"stage":[118,160],"with":[119],"performing":[123],"enhancement,":[125],"eliminating":[126],"occlusions,":[127],"reflections":[128],"and":[129],"extreme":[130],"gray-level":[131],"values,":[132],"ending":[133],"in":[134],"texture":[136],"equalization.":[137],"last":[139],"step":[140],"3D":[143],"model":[145],"based":[147],"on":[148],"images":[152],"acquired":[153],"at":[154],"different":[155],"angles.":[156],"Results":[157],"each":[159],"presented.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
