Abstract: A display device includes a light source which provides light, a plurality of first nanostructures which collimates the light from the light source and converts a light path of the light from the light source, a light guide portion which totally reflects light incident thereon from the plurality of first nanostructures in a way such that the light travels from one end to another end thereof, a spatial light modulator which modulates a phase of light incident thereon from the light guide portion and outputs the light having the phase modulated thereby, and a plurality of second nanostructures which collimates light incident thereon from the light guide portion and converts a light path of the light incident thereon to provide the light incident thereon to the spatial light modulator.

Abstract: An optical device and an electronic device including the same are provided. An optical device may include a light source including a plurality of first pixels configured to emit light, a polarization member configured to control polarization of light output from the light source, a spatial light modulator including a plurality of second pixels configured to display a light modulation pattern to modulate a phase of light passing through the polarization member, and a controller configured to control the plurality of first pixels and the plurality of second pixels based on an input image.

Abstract: A method includes: obtaining layout data representing a candidate device fabrication pattern; generating an embedding of the layout data; providing the embedding of the layout data as input to a deep learning model; obtaining, as an output of the deep learning model, a predicted fabricated structure formed using the candidate device fabrication pattern; and adjusting the layout data by backpropagation based on a gradient of a loss function representing a difference between the predicted fabricated structure and a target structure.

Abstract: A tracking system for object detection and tracking. The system may include a plurality of light sources, a differential camera, and a controller. The plurality of light sources is positioned at different locations on a device and are configured to emit pulses of light that illuminate an object. The differential camera has an optical axis, and at least some of the plurality of light sources are off-axis relative to the optical axis. The differential camera is configured to detect a change in brightness of the object caused in part by one or more of the pulses of light, and asynchronously output data samples corresponding to the detected change in brightness. The controller is configured to track the object based in part on the data samples output by the differential camera.

Abstract: Embodiments are related to a headset integrated into a healthcare platform. The headset comprises one or more sensors embedded into a frame of the headset, a controller coupled to the one or more sensors, and a transceiver coupled to the controller. The one or more sensors capture health information data for a user wearing the headset. The controller pre-processes at least a portion of the captured health information data to generate a pre-processed portion of the health information data. The transceiver communicates the health information data and the pre-processed portion of health information data to an intermediate device communicatively coupled to the headset. The intermediate device processes at least one of the health information data and the pre-processed portion of health information data to generate processed health information data for a health-related diagnostic of the user.

Abstract: A system enables a user to query based on a user's gaze by receiving a query from the user and capturing, via an eye tracking system on a headset, the user's gaze location near an object in a local area. The system captures one or more images of the local area with the object and formats the images based in part on a region of interest in the one or more images that includes the object. The system generates a formatted query based in part on the query. The formatted query is provided to a search engine. Information describing the object determined from the one or more formatted images and information describing the query are used by the search engine to determine an answer to the query about the object. The system presents the answer to the query about the object.

Abstract: A differential camera system for object tracking. The system includes a co-aligned light source camera assembly (LSCA) and a controller. The co-aligned LSCA includes a light source and a differential camera sensor. The light source is configured to emit light along an optical path that is directed towards an eye box including an eye of a user. The differential camera sensor is configured to detect a change in brightness of the eye caused in part by the emitted light, asynchronously output data samples corresponding to the detected change in brightness, wherein the optical path is substantially co-aligned with an optical path of the differential camera sensor. The controller is configured to identify a pupil of the eye based on data samples output from the differential camera sensor resulting from the emitted light, and determine a gaze location of the user based in part on the identified pupil.

Abstract: A system enables a user to query based on a user's gaze by receiving a query from the user and capturing, via an eye tracking system on a headset, the user's gaze location near an object in a local area. The system captures one or more images of the local area with the object and formats the images based in part on a region of interest in the one or more images that includes the object. The system generates a formatted query based in part on the query. The formatted query is provided to a search engine. Information describing the object determined from the one or more formatted images and information describing the query are used by the search engine to determine an answer to the query about the object. The system presents the answer to the query about the object.

Abstract: Systems and methods for event-based gaze in accordance with embodiments of the invention are illustrated. One embodiment includes an event-based gaze tracking system, including a camera positioned to observe an eye, where the camera is configured to asynchronously sample a plurality of pixels to obtain event data indicating changes in local contrast at each pixel in the plurality of pixels, and a processor communicatively coupled to the camera, and a memory communicatively coupled to processor, where the memory contains a gaze tracking application, where the gaze tracking application directs the processor to, receive the event data from the camera, fit an eye model to the eye using the event data, map eye model parameters from the eye model to a gaze vector, and provide the gaze vector.

Abstract: A method of training a neural network model to generate a three-dimensional (3D) model of a scene includes: generating the 3D model based on a latent code; based on the 3D model, sampling a camera view including a camera position and a camera angle corresponding to the 3D model of the scene; generating a two-dimensional (2D) image based on the 3D model and the sampled camera view; and training the neural network model to, using the 3D model, generate a scene corresponding to the sampled camera view based on the generated 2D image and a real 2D image.

Abstract: The disclosure describes aspects of a display processing circuitry. In an aspect, one or more displays that support multiple views include one or more arrays of pixels, one or more backplanes, and a processing circuitry configured to receive one or more data streams, control processing of the data streams based on policies from which to select a mode of operation, each mode of operation defining which rays of light the arrays of pixels in the displays are to contribute to generate a particular view or views and the tasks to be performed by the processing circuitry to modify the data streams accordingly. The processing circuitry further provides signaling representative of the modified data streams to the arrays of pixels through a circuit configuration of the backplanes for the arrays of pixels to contribute the rays that will to generate the particular view or views. A corresponding method is also described.

Abstract: A tracking system for object detection and tracking. The system may include a plurality of light sources, a differential camera, and a controller. The plurality of light sources is positioned at different locations on a device and are configured to emit pulses of light that illuminate an object. The differential camera has an optical axis, and at least some of the plurality of light sources are off-axis relative to the optical axis. The differential camera is configured to detect a change in brightness of the object caused in part by one or more of the pulses of light, and asynchronously output data samples corresponding to the detected change in brightness. The controller is configured to track the object based in part on the data samples output by the differential camera.

Abstract: A differential camera system for object tracking. The system includes a co-aligned light source camera assembly (LSCA) and a controller. The co-aligned LSCA includes a light source and a differential camera sensor. The light source is configured to emit light along an optical path that is directed towards an eye box including an eye of a user. The differential camera sensor is configured to detect a change in brightness of the eye caused in part by the emitted light, asynchronously output data samples corresponding to the detected change in brightness, wherein the optical path is substantially co-aligned with an optical path of the differential camera sensor. The controller is configured to identify a pupil of the eye based on data samples output from the differential camera sensor resulting from the emitted light, and determine a gaze location of the user based in part on the identified pupil.

Abstract: Disclosed herein is methods and systems for providing different views to a viewer. One particular embodiment includes a method including providing, to a neural network, a plurality of 2D images of a 3D object. The neural network may include a signed distance function based sinusoidal representation network. The method may further include obtaining a neural model of a shape of the object by obtaining a zero-level set of the signed distance function; and modeling an appearance of the object using a spatially varying emission function. In some embodiments, the neural model may be converted into a triangular mesh representing the object which may be used to render multiple view-dependent images representative of the 3D object.

Abstract: Provided herein is a macroscope comprising an objective apparatus comprising a multifocal widefield optics comprising a plurality of optical components configured to focus on a plurality of planes. Also provided herein are methods for analyzing a three-dimensional specimen, the method comprising obtaining, via a macroscope, synchronous multifocal optical images of a plurality of planes of the three-dimensional specimen, wherein the macroscope comprises an objective apparatus comprising a multifocal widefield optics comprising a plurality of optical components configured to focus on a plurality of planes. The three-dimensional specimen can be a biological specimen, such as brain.

Abstract: An augmented reality display system is configured to direct a plurality of parallactically-disparate intra-pupil images into a viewer's eye. The parallactically-disparate intra-pupil images provide different parallax views of a virtual object, and impinge on the pupil from different angles. In the aggregate, the wavefronts of light forming the images approximate a continuous divergent wavefront and provide selectable accommodation cues for the user, depending on the amount of parallax disparity between the intra-pupil images. The amount of parallax disparity is selected using a light source that outputs light for different images from different locations, with spatial differences in the locations of the light output providing differences in the paths that the light takes to the eye, which in turn provide different amounts of parallax disparity.

Abstract: An augmented reality display system is configured to direct a plurality of parallactically-disparate intra-pupil images into a viewer's eye. The parallactically-disparate intra-pupil images provide different parallax views of a virtual object, and impinge on the pupil from different angles. In the aggregate, the wavefronts of light forming the images approximate a continuous divergent wavefront and provide selectable accommodation cues for the user, depending on the amount of parallax disparity between the intra-pupil images. The amount of parallax disparity is selected using a light source that outputs light for different images from different locations, with spatial differences in the locations of the light output providing differences in the paths that the light takes to the eye, which in turn provide different amounts of parallax disparity.

Abstract: An augmented reality display system is configured to direct a plurality of parallactically-disparate intra-pupil images into a viewer's eye. The parallactically-disparate intra-pupil images provide different parallax views of a virtual object, and impinge on the pupil from different angles. In the aggregate, the wavefronts of light forming the images approximate a continuous divergent wavefront and provide selectable accommodation cues for the user, depending on the amount of parallax disparity between the intra-pupil images. The amount of parallax disparity is selected using a light source that outputs light for different images from different locations, with spatial differences in the locations of the light output providing differences in the paths that the light takes to the eye, which in turn provide different amounts of parallax disparity.

Abstract: A device includes a camera assembly and a controller. The camera assembly is configured to capture images of both eyes of a user. Using the captured images, the controller determines a location for each pupil of each eye of the user. The determined pupil locations and captured images are used to determine eye tracking parameters which are used to compute values of eye tracking functions. With the computed values and a model that maps the eye tracking functions to gaze depths, a gaze depth of the user is determined. An action is performed based on the determined gaze depth.

Abstract: Systems and methods for event-based gaze in accordance with embodiments of the invention are illustrated. One embodiment includes an event-based gaze tracking system, including a camera positioned to observe an eye, where the camera is configured to asynchronously sample a plurality of pixels to obtain event data indicating changes in local contrast at each pixel in the plurality of pixels, and a processor communicatively coupled to the camera, and a memory communicatively coupled to processor, where the memory contains a gaze tracking application, where the gaze tracking application directs the processor to, receive the event data from the camera, fit an eye model to the eye using the event data, map eye model parameters from the eye model to a gaze vector, and provide the gaze vector.