Facebook Technologies, LLC

Facebook, Inc.

Rasmus Dahl

Martin Henrik Tall

Javier San Agustin Lopez

Sebastian Sztuk

Jonas Priesum

A display system divides a screen into regions and applies a different set of rendering/encoding parameters to each region. The system applies a first set of parameters to a first region that is being viewed by a fovea of an eye of a user. The system may also apply a second set of parameters to a second region that is being viewed by a parafovea of the eye, and apply a third set of parameters to a third region that is being viewed by the area of the eye outside of the parafovea. The first set of parameters are selected to yield relatively high image quality, while the second set of parameters are yield intermediate quality, and the third set of parameters yield lower quality. As a result, the second region and the third region can be rendered, encoded, and transmitted with less computing power and less bandwidth.

Adaptive parameters in image regions based on eye tracking information

An augmented reality (AR) device can access a library of applications or user interfaces (UIs) designed to control a set of devices. The AR device can determine which UI to present based on detection of a device to be controlled near the AR device. For example, a user wearing an AR device may look at a thermostat placed on a wall and a UI to control the thermostat may be presented to the user. The determination that the user is looking at the thermostat may be made by correlating the gaze tracking information of the user-facing camera with the location of the thermostat in an image captured by a world-facing camera. Determination of the location of the thermostat in the image can be performed using image recognition technology. The UI can be selected based on a database record pairing the UI with the thermostat.

Device interaction in augmented reality

Eye tracking technology may be used in a wide range of lighting conditions and with many different and varying light levels. In some embodiments, an eye tracking device may employ active illumination (e.g., in the form of infrared light-emitting diodes (LEDs)). However, employing active illumination may reduce the battery life of the device. Under some circumstances (e.g., in a dark environment), the light intensity may be excessive and could be reduced, thereby reducing energy consumption and extending the battery life of the device. An algorithm may be used to adjust the duration of light in eye tracking systems that employ active illumination.

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Copenhagen, Denmark

Rasmus Dahl