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A Dynamic Visual Field Model for Capturing Light Entering Human Eyes


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This webinar is hosted By: Lighting Applications Technical Group

28 January 2025 12:00 - 13:00

Eastern Time (US & Canada) (UTC -05:00)
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The conventional binocular visual field model of human eyes looks straightforward, which creates a so-called “orthomode binocular visual field.” The orthomode binocular visual field has a span of approximately 214⁰ (horizontal) and 125⁰ (vertical), which does not change by disregarding the frequent eye movements unless the head moves. Such an obsolete definition of binocular visual field with fixed gaze direction (looking straightforward) is no longer applicable for determining the range of light coming into the eyes from different directions, considering the eye convergence and eye movement that happens all the time in real life.

To resolve this issue, a new dynamic visual field model was established by referring to the actual gaze direction and face normal (perpendicular to the face plane where two eyes are located). A mathematical model was thus built with gaze direction as the only independent variable, which is determined by the real-time gaze points on different visual tasks across space and over time. The referred orthomode binocular visual field is a particular moment with both yaw and pitch angles of the eye movement as default 0⁰. Such a dynamic visual field is one of the theoretical foundations used in the determination of real-time light entering human eyes during human-light interactions. A few applications with the aid of camera will be presented in this webinar.

Subject Matter Level: Intermediate - Assumes basic knowledge of the topic

What You Will Learn:
• Introduction to a ground-breaking new visual field model
• Application with the aid of camera for determining real-time light entering human eyes

About the Presenter: Hongyi Cai from The University of Kansas

Dr. Hongyi Cai is an Associate Professor in the Department of Civil, Environmental, and Architectural Engineering at the University of Kansas. With expertise in lighting, he and his team have been developing camera-aided HDR imaging technologies for field lighting measurement and computer modeling & simulation for human-light interactions, and integrative solid-state lighting & heating technologies.

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