{"id":"https://openalex.org/W2050517906","doi":"https://doi.org/10.1109/iccvw.2011.6130505","title":"Illumination-free gaze estimation method for first-person vision wearable device","display_name":"Illumination-free gaze estimation method for first-person vision wearable device","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2050517906","doi":"https://doi.org/10.1109/iccvw.2011.6130505","mag":"2050517906"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2011.6130505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","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/A5032456098","display_name":"Akihiro Tsukada","orcid":"https://orcid.org/0009-0001-2028-400X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Akihiro Tsukada","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031707289","display_name":"Motoki Shino","orcid":"https://orcid.org/0009-0003-8874-1419"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Motoki Shino","raw_affiliation_strings":["Carnegie Mellon University, USA","University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049682661","display_name":"Michael Devyver","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Devyver","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057924291","display_name":"Takeo Kanade","orcid":"https://orcid.org/0000-0002-6267-6853"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Takeo Kanade","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032456098"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":3.0236,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.913564,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2084","last_page":"2091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.8481550216674805},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.8430516719818115},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8104604482650757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7570381164550781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7126897573471069},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6414703726768494},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.625718891620636},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.6186991930007935},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5833714008331299},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.5623776316642761},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.49666744470596313},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.47233620285987854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2238752841949463},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.14739519357681274}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.8481550216674805},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.8430516719818115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8104604482650757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7570381164550781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126897573471069},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6414703726768494},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.625718891620636},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.6186991930007935},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5833714008331299},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.5623776316642761},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.49666744470596313},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.47233620285987854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2238752841949463},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.14739519357681274},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccvw.2011.6130505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.297.8179","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.8179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ri.cmu.edu/pub_files/2011/11/PID2047447.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1589443630","https://openalex.org/W1946259682","https://openalex.org/W1990930131","https://openalex.org/W2039270213","https://openalex.org/W2070999216","https://openalex.org/W2074840634","https://openalex.org/W2091805034","https://openalex.org/W2092785577","https://openalex.org/W2147299944","https://openalex.org/W2148322785","https://openalex.org/W2148584227","https://openalex.org/W2151226872","https://openalex.org/W2155591525","https://openalex.org/W2189335318","https://openalex.org/W6635414781","https://openalex.org/W6640564649","https://openalex.org/W6668406863"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2151970936","https://openalex.org/W2557390811","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2759939383","https://openalex.org/W3213945064","https://openalex.org/W3133795085","https://openalex.org/W2952386695"],"abstract_inverted_index":{"Gaze":[0,49],"estimation":[1,28,50,173],"is":[2,15,58,79,175],"a":[3,8,44,119],"key":[4],"technology":[5],"to":[6,114,177,186],"understand":[7],"person's":[9],"interests":[10],"and":[11,13,89,126,129,160,174,189],"intents,":[12],"it":[14],"becoming":[16],"more":[17],"popular":[18],"in":[19,75],"daily":[20],"situations":[21],"such":[22],"as":[23],"driving":[24],"scenarios.":[25],"Wearable":[26],"gaze":[27,161],"devices":[29],"are":[30,40,101],"use":[31,72,115,181],"for":[32,95],"long":[33],"periods":[34],"of":[35,47],"time,":[36],"therefore":[37],"non-active":[38],"sources":[39],"not":[41,53],"desirable":[42],"from":[43],"safety":[45],"point":[46],"view.":[48],"that":[51,138,166,180],"does":[52],"rely":[54],"on":[55,156],"active":[56],"source,":[57],"performed":[59],"by":[60,81,108,146],"locating":[61],"iris":[62,67,96,140,158,172],"position.":[63],"To":[64],"estimate":[65],"the":[66,77],"position":[68,97,147,159],"accurately,":[69],"most":[70],"studies":[71],"ellipse":[73,78,137],"fitting":[74],"which":[76],"defined":[80],"5":[82,99],"parameters(position":[83],"(x,y),":[84],"rotation":[85],"angle,":[86],"semi-major":[87],"axis":[88],"semi-minor":[90],"axis).":[91],"We":[92,151],"claim":[93],"that,":[94],"estimation,":[98],"parameters":[100],"redundant":[102],"because":[103],"they":[104],"might":[105],"be":[106,143],"influenced":[107],"non-iris":[109],"edges.":[110],"Therefore,":[111],"we":[112],"propose":[113],"2":[116],"parameters(position)":[117],"introducing":[118],"3D":[120,133],"eye":[121,125,134],"model(the":[122],"transformation":[123],"between":[124],"camera":[127],"coordinate":[128],"eyeball/iris":[130],"size).":[131],"Given":[132],"model,":[135],"projected":[136],"represents":[139],"shape":[141],"can":[142],"specified":[144],"only":[145],"under":[148],"weak-perspective":[149],"approximation.":[150],"quantitatively":[152],"evaluate":[153],"our":[154,167],"method":[155,168],"both":[157,187],"estimation.":[162],"Our":[163],"results":[164],"show":[165],"outperforms":[169],"other":[170],"state-of-the-art's":[171],"competitive":[176],"commercial":[178],"product":[179],"infrared":[182],"ray":[183],"with":[184],"respect":[185],"accuracy":[188],"robustness.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}