Abstract: In one embodiment, the disclosure provides an interior luminaire system for emulating natural daylight. The system may include an artificial sunlight system and an artificial skylight system. The artificial sunlight system may include one or more first light sources and one or more first movable lenses paired with the first light sources, respectively. Each first light source may be configured to direct light only at the respective paired lens. Each first light source-lens pair may be operable to generate a set of substantially parallel rays of light. The artificial sunlight system may be operable to generate a movable substantially collimated beam of light comprising the sets of substantially parallel rays of light. The artificial skylight system may include one or more second light sources. Each second light source may be operable to generate omnidirectional rays of light. The artificial skylight system may be operable to generate diffuse illumination.

Abstract: A method includes accessing a display structure for manufacturing a display panel for an under-display camera (UDC) system. The method further includes computing a point spread function (PSF) of the UDC system with the display structure and computing a metric to evaluate performance of the display structure based on the PSF. The method further includes determining that the metric does not satisfy selection criteria for using the display structure for manufacturing the display panel for the UDC system and in response to the determination, iteratively optimizing the display structure, using an automated searching process, until the metric satisfies the selection criteria. The method further includes generating an optimized display structure responsive to completion of the automated searching process. The optimized display structure is used for manufacturing the display panel for the UDC system.

Abstract: The techniques describe herein use sensor(s) to scan a real-world environment and obtain data associated with geometry of the real-world environment that affects how energy propagates (e.g., locations of spatial objects in a room). The sensor(s) also detect energy (e.g., sound) in the real-world environment, from which a location of a source of the energy can be determined. The techniques combine the geometry data and the energy data to determine how the detected energy propagates from the location of the source through the real-world environment. The techniques can then cause a representation of the propagating energy to be displayed, to a user, as virtual content via a mixed reality device. Accordingly, a user is able to see energy that is otherwise invisible.

Abstract: The techniques describe herein use sensor(s) to scan a real-world environment and obtain data associated with geometry of the real-world environment that affects how energy propagates (e.g., locations of spatial objects in a room). The sensor(s) also detect energy (e.g., sound) in the real-world environment, from which a location of a source of the energy can be determined. The techniques combine the geometry data and the energy data to determine how the detected energy propagates from the location of the source through the real-world environment. The techniques can then cause a representation of the propagating energy to be displayed, to a user, as virtual content via a mixed reality device. Accordingly, a user is able to see energy that is otherwise invisible.