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Comparitive study on photometric normalization algorithms for an innovative, robust and real-time eye gaze tracker

机译：创新，强大且实时的视线追踪器的光度归一化算法比较研究

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摘要

Eye gaze trackers (EGTs) are generally developed for scientific exploration in controlled environments or laboratories and data have been used in ophthalmology, neurology, psychology, and related areas to study oculomotor characteristics and abnormalities, and their relation to cognition and mental states. The illumination is one of the most restrictive limitation of the EGTs, due to a problem of pupil center estimation during illumination changes. Most of the current systems, indeed, work under controlled illumination conditions either in dark or indoor environments, e.g. using infrared sources or conforming the sources of light to fixed levels or pointing directions. This work is focused on exploring and comparing several photometric normalization techniques to improve EGT systems during light changes. In particular, a new wearable and wireless eye tracking system (HATCAM) is used for testing the different techniques in terms of real-time capability, eye tracking and pupil area detection. Embedding real-time image enhancement into the HATCAM can make it an innovative and robust system for eye tracking in different lighting conditions, i.e. darkness, sunlight, indoor and outdoor environments.
机译：视线追踪器（EGT）通常是为在受控环境或实验室中进行科学探索而开发的，并且已在眼科学，神经病学，心理学以及相关领域中使用数据来研究动眼特性和异常及其与认知和精神状态的关系。由于在照明变化期间瞳孔中心估计的问题，照明是EGT的最严格的限制之一。实际上，大多数当前系统在黑暗或室内环境下，例如在室内，在受控的照明条件下工作。使用红外光源或使光源符合固定水平或指向方向。这项工作的重点是探索和比较几种光度归一化技术，以改善光线变化期间的EGT系统。特别是，新的可穿戴无线眼动追踪系统（HATCAM）用于测试实时能力，眼动追踪和瞳孔区域检测方面的各种技术。将实时图像增强功能嵌入HATCAM可以使其成为一种创新而强大的系统，用于在黑暗，阳光，室内和室外环境等不同光照条件下进行眼睛跟踪。

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  • 来源
    《Journal of Real-Time Image Processing》 |2013年第1期|21-33|共13页
  • 作者

    Antonino Armato; Antonio Lanata; Enzo Pasquale Scilingo;

  • 作者单位

    Department of Information Engineering,University of Pisa, via Caruso, 16, 56122 Pisa, Italy;

    Interdepartmental Research Center 'E. Piaggio' and Department of Information　Engineering,University of Pisa, via Diotisalvi, 2, 56126 Pisa, Italy;

    Interdepartmental Research Center 'E. Piaggio' and Department of Information　Engineering,University of Pisa, via Diotisalvi, 2, 56126 Pisa, Italy;

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