{"id":"https://openalex.org/W3183276109","doi":"https://doi.org/10.1109/ijcb52358.2021.9484340","title":"An End-to-End Autofocus Camera for Iris on the Move","display_name":"An End-to-End Autofocus Camera for Iris on the Move","publication_year":2021,"publication_date":"2021-07-20","ids":{"openalex":"https://openalex.org/W3183276109","doi":"https://doi.org/10.1109/ijcb52358.2021.9484340","mag":"3183276109"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb52358.2021.9484340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb52358.2021.9484340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5070031492","display_name":"Leyuan Wang","orcid":"https://orcid.org/0000-0003-4084-4470"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Leyuan Wang","raw_affiliation_strings":["School of Artificial Intelligence, UCAS Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, CASIA"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, UCAS Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, CASIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016611268","display_name":"Kunbo Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kunbo Zhang","raw_affiliation_strings":["School of Artificial Intelligence, UCAS Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, CASIA"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, UCAS Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, CASIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398969","display_name":"Yunlong Wang","orcid":"https://orcid.org/0000-0002-3535-308X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunlong Wang","raw_affiliation_strings":["School of Artificial Intelligence, UCAS Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, CASIA"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, UCAS Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, CASIA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055505703","display_name":"Zhenan Sun","orcid":"https://orcid.org/0000-0003-4029-9935"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenan Sun","raw_affiliation_strings":["School of Artificial Intelligence, UCAS Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, CASIA"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, UCAS Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, CASIA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070031492"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.374,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63909366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.995199978351593,"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/T11897","display_name":"Digital Holography and Microscopy","score":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autofocus","display_name":"Autofocus","score":0.9591264724731445},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8283361792564392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7836418151855469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7753818035125732},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7175976037979126},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.6840336322784424},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.5741373300552368},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.563611626625061},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.5619372725486755},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.47184112668037415},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4381108283996582},{"id":"https://openalex.org/keywords/focal-length","display_name":"Focal length","score":0.4269946217536926},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16971486806869507},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1212523877620697},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11658835411071777}],"concepts":[{"id":"https://openalex.org/C103764139","wikidata":"https://www.wikidata.org/wiki/Q210008","display_name":"Autofocus","level":3,"score":0.9591264724731445},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8283361792564392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836418151855469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7753818035125732},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7175976037979126},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.6840336322784424},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.5741373300552368},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.563611626625061},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.5619372725486755},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.47184112668037415},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4381108283996582},{"id":"https://openalex.org/C82552819","wikidata":"https://www.wikidata.org/wiki/Q193540","display_name":"Focal length","level":3,"score":0.4269946217536926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16971486806869507},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1212523877620697},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11658835411071777},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","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":1,"locations":[{"id":"doi:10.1109/ijcb52358.2021.9484340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb52358.2021.9484340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W220625295","https://openalex.org/W1536680647","https://openalex.org/W1580986139","https://openalex.org/W1668151268","https://openalex.org/W1901129140","https://openalex.org/W1964846093","https://openalex.org/W1976450201","https://openalex.org/W1986489799","https://openalex.org/W2016252664","https://openalex.org/W2038134596","https://openalex.org/W2049617983","https://openalex.org/W2082087395","https://openalex.org/W2088714418","https://openalex.org/W2152332216","https://openalex.org/W2154889144","https://openalex.org/W2161216727","https://openalex.org/W2170930628","https://openalex.org/W2306164244","https://openalex.org/W2470394683","https://openalex.org/W2611408997","https://openalex.org/W2618894092","https://openalex.org/W2730947821","https://openalex.org/W2756389006","https://openalex.org/W2794345403","https://openalex.org/W2885514323","https://openalex.org/W2962814024","https://openalex.org/W2963534981","https://openalex.org/W2985275943","https://openalex.org/W3012573144","https://openalex.org/W3032947518","https://openalex.org/W3106250896","https://openalex.org/W3120293235","https://openalex.org/W4252777177","https://openalex.org/W6631782140","https://openalex.org/W6634904954","https://openalex.org/W6639824700","https://openalex.org/W6720898849","https://openalex.org/W6738557776","https://openalex.org/W6753494528","https://openalex.org/W6785034270","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3206931886","https://openalex.org/W1968827811","https://openalex.org/W2079188893","https://openalex.org/W4320061889","https://openalex.org/W1515588876","https://openalex.org/W1787360621","https://openalex.org/W3187266571","https://openalex.org/W2085027902","https://openalex.org/W3215565456","https://openalex.org/W2024502898"],"abstract_inverted_index":{"For":[0],"distant":[1],"iris":[2,17,65,82,127],"recognition,":[3],"a":[4,59,72,89,130,135],"long":[5],"focal":[6,141],"length":[7],"lens":[8,111],"is":[9,40,54,179],"generally":[10],"used":[11],"to":[12,27,42,57,138],"ensure":[13],"the":[14,21,81,85,98,109,126,146,163],"resolution":[15],"of":[16,23,62,80,84,125,129,145,156,165],"images,":[18],"which":[19],"reduces":[20],"depth":[22],"field":[24],"and":[25,46,107,174],"leads":[26],"potential":[28],"defocus":[29],"blur.":[30],"To":[31],"accommodate":[32],"users":[33,50],"standing":[34],"statically":[35],"at":[36,181],"different":[37],"distances,":[38],"it":[39,53],"necessary":[41],"control":[43,113],"focus":[44,100,123],"quickly":[45],"accurately.":[47],"And":[48],"for":[49,77,143,169],"in":[51,172],"motion,":[52],"also":[55],"expected":[56],"acquire":[58],"sufficient":[60],"amount":[61],"accurately":[63],"focused":[64],"images.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70],"introduced":[71],"novel":[73],"rapid":[74],"auto-focus":[75],"camera":[76,150,168],"active":[78,118],"refocusing":[79],"area":[83,128],"moving":[86,131],"objects":[87],"with":[88],"focus-tunable":[90],"lens.":[91],"Our":[92,149],"end-to-end":[93],"computational":[94],"algorithm":[95],"can":[96],"predict":[97],"best":[99],"position":[101],"from":[102],"one":[103],"single":[104],"blurred":[105],"image":[106],"generate":[108],"proper":[110],"diopter":[112],"signal":[114],"automatically.":[115],"This":[116],"scene-based":[117],"manipulation":[119],"method":[120],"enables":[121],"real-time":[122],"tracking":[124],"object.":[132],"We":[133],"built":[134],"testing":[136],"bench":[137],"collect":[139],"real-world":[140],"stacks":[142],"evaluation":[144],"autofocus":[147,154],"methods.":[148],"has":[151],"reached":[152],"an":[153],"speed":[155],"over":[157],"50":[158],"fps.":[159],"The":[160,177],"results":[161],"demonstrate":[162],"advantages":[164],"our":[166],"proposed":[167],"biometric":[170],"perception":[171],"static":[173],"dynamic":[175],"scenes.":[176],"code":[178],"available":[180],"https://github.com/Debatrix/AquulaCam.":[182]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
