Pupil localization using geodesic distance

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241535" target="_blank" >RIV/61989100:27240/18:10241535 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-030-03801-4_38" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-03801-4_38</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-03801-4_38" target="_blank" >10.1007/978-3-030-03801-4_38</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Pupil localization using geodesic distance

Popis výsledku v původním jazyce

The main contributions of the presented paper can be summarized as follows. Firstly, we introduce a unique and robust dataset of human eyes that can be used in many detection and recognition scenarios, especially for the recognition of driver drowsiness, gaze direction, or eye-blinking frequency. The dataset consists of approximately 85,000 different eye regions that were captured using various near-infrared cameras, various resolutions, and various lighting conditions. The images are annotated into many categories. Secondly, we present a new method for pupil localization that is based on the geodesic distance. The presented experiments show that the proposed method outperforms the state-of-the-art methods in this area. (C) Springer Nature Switzerland AG 2018.

Název v anglickém jazyce

Pupil localization using geodesic distance

Popis výsledku anglicky

The main contributions of the presented paper can be summarized as follows. Firstly, we introduce a unique and robust dataset of human eyes that can be used in many detection and recognition scenarios, especially for the recognition of driver drowsiness, gaze direction, or eye-blinking frequency. The dataset consists of approximately 85,000 different eye regions that were captured using various near-infrared cameras, various resolutions, and various lighting conditions. The images are annotated into many categories. Secondly, we present a new method for pupil localization that is based on the geodesic distance. The presented experiments show that the proposed method outperforms the state-of-the-art methods in this area. (C) Springer Nature Switzerland AG 2018.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11241

ISBN

978-3-030-03800-7

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

12

Strana od-do

433-444

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Las Vegas

Datum konání akce

19. 11. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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