DeepVOG: Open-source pupil segmentation and gaze estimation in neuroscience using deep learning.

Journal: Journal of neuroscience methods
Published Date: Jun 6, 2019

Abstract

BACKGROUND: A prerequisite for many eye tracking and video-oculography (VOG) methods is an accurate localization of the pupil. Several existing techniques face challenges in images with artifacts and under naturalistic low-light conditions, e.g. with highly dilated pupils.

Authors

  • Yuk-Hoi Yiu
    German Center for Vertigo and Balance Disorders (DSGZ), Feodor-Lynen-Str. 19, 81377 Munich, Germany.
  • Moustafa Aboulatta
  • Theresa Raiser
    German Center for Vertigo and Balance Disorders (DSGZ), Feodor-Lynen-Str. 19, 81377 Munich, Germany; Graduate School of Systemic Neurosciences, Ludwig-Maximilians Universität München, Großhadern Str. 2, 82152 Planegg, Germany.
  • Leoni Ophey
    German Center for Vertigo and Balance Disorders (DSGZ), Feodor-Lynen-Str. 19, 81377 Munich, Germany.
  • Virginia L Flanagin
    German Center for Vertigo and Balance Disorders (DSGZ), Feodor-Lynen-Str. 19, 81377 Munich, Germany.
  • Peter Zu Eulenburg
    German Center for Vertigo and Balance Disorders (DSGZ), Feodor-Lynen-Str. 19, 81377 Munich, Germany; Department of Neurology, Klinikum der Universität München, Marchioninistr. 15, 81377 Munich, Germany.
  • Seyed-Ahmad Ahmadi

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