Abstract: In one implementation, a method of remedying a medical impairment of a user is performed by a device including a processor, non-transitory memory, one or more biometric sensors, an image sensor, and a display. The method includes detecting, based on data from at least one of the image sensor and the one or more biometric sensors, a medical impairment of a user of the head-mounted device from a plurality of potential medical impairments associated with a plurality of remedies. The method includes selecting, from the plurality of remedies, a remedy of the medical impairment of the user. The method includes controlling the display to effect the remedy of the medical impairment of the user.

Abstract: Various implementations disclosed herein include methods, electronic devices, and systems for performing perceptual-based color correction based on chromaticity values. To that end, in some implementations, a method is performed at an electronic device with one or more processors, a non-transitory memory, and a see-through display. The method includes determining a chromaticity value associated with ambient light from a physical environment. The chromaticity value quantifies the ambient light. The method includes determining a set of color correction values based on a function of the chromaticity value and image data. The set of color correction values and the chromaticity value together satisfy one or more perceptual criteria. The method includes modifying the image data in order to generate display data based on a function of the set of color correction values. The method includes displaying the display data on the see-through display.

Abstract: A method includes sensing a plurality of light superposition characteristic values associated with ambient light from a physical environment. The ambient light emanates from the physical environment towards one side of a translucent display. The plurality of light superposition characteristic values quantifies interactions with the ambient light. The method includes determining a plurality of display correction values associated with the electronic device based on a function of the plurality of light superposition characteristic values and predetermined display characteristics of a computer-generated reality (CGR) object. The method includes changing one or more display operating parameters associated with the electronic device in accordance with the plurality of display correction values in order to satisfy the predetermined display characteristics of the CGR object within a performance threshold.

Abstract: Various implementations disclosed herein include devices, systems, and methods for verifying that an image includes a complete code of a time-varying visual marker that displays codes sequentially on a display. In some implementations, the verification determines that the image include a complete code rather than combinations of sequentially-displayed codes that may be included in an image based on use of a rolling shutter (e.g., in a camera of a detecting electronic device). In some implementations, the verification involves comparing a first verification portion of an image to a second opposing verification portion of an image. Various implementations disclosed herein include devices, systems, and methods for modifying image capture parameters (e.g., frame rate) to ensure capture of all codes of a time-varying visual marker.

Abstract: Various implementations disclosed herein include devices, systems, and methods that use a marking on a transparent surface (e.g., a prescription lens insert for an HMD) to identify information (e.g., prescription parameters) about the transparent surface. In some implementations, the markings do not interfere with eye tracking through the transparent surface or using the transparent surface to view virtual content or a physical environment. In some implementations, image data is obtained from an image sensor of an electronic device, the image data corresponding to a transparent surface attached to the electronic device. Then, a code is identified in the image data, wherein the code is detectable on the transparent surface by the image sensor without interfering with a function of the electronic device involving the transparent surface. In some implementations, content is provided at the electronic device based on the identified code, wherein the content is viewable through the transparent surface.

Abstract: An apparatus includes a primary camera sensor configured to capture images having a first resolution, a primary processing circuit configured to process images captured by the primary camera sensor, a secondary camera sensor configured to capture images having a second resolution, and a secondary processing circuit configured to process images captured by the secondary camera sensor. In response to a determination that a particular object of interest is included in a particular image, the secondary processing circuit may be further configured to cause the primary processing circuit and the primary camera sensor to exit a reduced power mode. The primary camera sensor may be further configured, in response to the exiting, to capture a different image. The primary processing circuit may also be configured to process the different image to validate the particular object of interest.

Abstract: A method includes sensing a plurality of luminance values associated with ambient light from a physical environment. The plurality of luminance values quantifies the ambient light arriving at a see-through display. The method includes obtaining a plurality of semantic values respectively associated with a plurality of portions within image data. The plurality of portions includes a first portion of the image data and a second portion of the image data. The method includes identifying a first one of the plurality of semantic values that satisfies a criterion. The first one of the plurality of semantic values is associated with the first portion of the image data. The method includes mapping, based on a function of a portion of the plurality of luminance values, the image data to predetermined display characteristics of the first portion of the image data within a performance threshold.

Abstract: Various implementations disclosed herein include devices, systems, and methods that provide color visual markers that include colored markings that encode data, where the colors of the colored markings are determined by scanning (e.g., detecting the visual marker using a sensor of an electronic device) the visual marker itself. In some implementations, a visual marker is detected in an image of a physical environment. In some implementations, the visual marker is detected in the image by detecting a predefined shape of a first portion of the visual marker in the image. Then, a color-interpretation scheme is determined for interpreting colored markings of the visual marker that encode data by identifying a set of colors at a corresponding set of predetermined locations on the visual marker. Then, the data of the visual marker is decoded using the colored markings and the set of colors of the color-interpretation scheme.

Abstract: Various implementations disclosed herein include devices, systems, and methods that select colors for visual markers that include colored markings encoding data. In some implementations, an input is received selecting a source image and the devices, systems, and methods determine colors based on the source image and based on distances between the colors exceeding a spatial distance threshold in a 3D color space. In some implementations, the devices, systems, and methods generate, based on the determined colors, an appearance of a visual marker comprising graphical elements encoding data using the determined colors.

Abstract: A method includes sensing a plurality of light superposition characteristic values associated with ambient light from a physical environment. The ambient light emanates from the physical environment towards one side of a translucent display. The plurality of light superposition characteristic values quantifies interactions with the ambient light. The method includes determining a plurality of display correction values associated with the electronic device based on a function of the plurality of light superposition characteristic values and predetermined display characteristics of a computer-generated reality (CGR) object. The method includes changing one or more display operating parameters associated with the electronic device in accordance with the plurality of display correction values in order to satisfy the predetermined display characteristics of the CGR object within a performance threshold.

Abstract: Various implementations disclosed herein include devices, systems, and methods that provide XR in which virtual objects are positioned based on the accuracy of localizing an electronic device in a physical environment. In some implementations, the technique assesses the accuracy of localization (e.g., centimeter-level accuracy, room-level accuracy, and building-level accuracy) and dynamically adjusts a display strategy. In some implementations, the technique determines a condition causing inaccuracy (e.g., a semantic condition such as “too fast”, “too far”, “too dark”), and provides a notification (e.g., “too fast-slow down”, “too far-move closer”, “too dark-turn on a light”) at the electronic device based on the condition causing the inaccuracy in the localization.

Abstract: Performing a corrective operation for environmental conditions related to a predetermined eye condition includes obtaining environment sensor data from a one or more sensors of the device, determining a current context for the device based on the environment sensor data, and determining, based on the current context, that an eye state criterion is satisfied. In response to determining that the eye state criterion is satisfied, a corrective operation is determined in accordance with the eye state criterion, and the corrective operation is performed. When performed, the corrective operation is configured to resolve an environmental condition associated with the eye state criterion.

Abstract: Various implementations disclosed herein include devices, systems, and methods that select colors for visual markers that include colored markings encoding data. In some implementations, the colors are automatically or semi-automatically selected. In some implementations, the colors are selected to remain sufficiently detectable despite changes in lighting conditions or printing/display conditions. In some implementations, a set of colors selectable for use in a visual marker is obtained. Then, measures of distance between a plurality of colors of the set of colors is determined, and a subset of the set of colors for the visual marker is selected based on the measure of distance between colors of the subset of colors. In some implementations, the visual marker appearance includes graphical elements encoding data using the subset of colors. In some implementations, input is received using a GUI on a display to determine multiple colors based on a source image.

Abstract: Various implementations disclosed herein include devices, systems, and methods that provide XR in which virtual objects are positioned based on the accuracy of localizing an electronic device in a physical environment. In some implementations, the technique assesses the accuracy of localization (e.g., centimeter-level accuracy, room-level accuracy, and building-level accuracy) and dynamically adjusts a display strategy. In some implementations, the technique determines a condition causing inaccuracy (e.g., a semantic condition such as “too fast”, “too far”, “too dark”), and provides a notification (e.g., “too fast-slow down”, “too far-move closer”, “too dark-turn on a light”) at the electronic device based on the condition causing the inaccuracy in the localization.

Abstract: In some implementations, representations of applications are identified, positioned, and configured in a computer generated reality (CGR) environment based on context. The location at which the representation of the application is positioned may be based on the context of the CGR environment. The context may be determined based on non-image data that is separate from image data of the physical environment being captured for the CGR environment. As examples, the non-image data may relate to the user, a user preferences, a user attribute, a user gesture, motion, activity, or interaction, semantics related to user input or an external source of information, the current time, date, or time period, information from another device involved in the CGR, etc.

Abstract: An apparatus includes a primary camera sensor configured to capture images having a first resolution, a primary processing circuit configured to process images captured by the primary camera sensor, a secondary camera sensor configured to capture images having a second resolution, and a secondary processing circuit configured to process images captured by the secondary camera sensor. In response to a determination that a particular object of interest is included in a particular image, the secondary processing circuit may be further configured to cause the primary processing circuit and the primary camera sensor to exit a reduced power mode. The primary camera sensor may be further configured, in response to the exiting, to capture a different image. The primary processing circuit may also be configured to process the different image to validate the particular object of interest.

Abstract: Various implementations disclosed herein include devices, systems, and methods that estimate a location of a light source based on ambient light data. For example, an example process may include acquiring ambient light data from an ambient light sensor (ALS) during movement of a device in a physical environment, acquiring motion data from a motion sensor during the movement of the device, determining, based on the ambient light data and the motion data, estimates of three-dimensional (3D) locations of a light source with respect to the device during the movement of the device, and tracking a location of the device in a 3D coordinate system during the movement of the device based on the estimates of the 3D locations of the light source with respect to the device during the movement of the device.

Abstract: A method includes sensing a plurality of luminance values associated with ambient light from a physical environment. The plurality of luminance values quantifies the ambient light arriving at a see-through display. The method includes identifying respective portions of the plurality of luminance values, across the see-through display, based on corresponding portions of rendered image data. The method includes modifying one or more of the respective portions of the plurality of luminance values based on a function of predetermined display characteristics associated with the rendered image data, in order to generate one or more modified portions of the plurality of luminance values. The method includes modifying the corresponding portions of the rendered image data in order to generate display data, based on the one or more modified portions of the plurality of luminance values. The method includes displaying, on the see-through display, the display data.

Abstract: Various implementations disclosed herein include devices, systems, and methods that provide a visual marker including a plurality of markings arranged in a corresponding plurality of shapes. In some implementations, each marking is formed of a set of sub-markings separated by gaps and arranged according to a respective shape, and the gaps of the plurality of markings are configured to encode data and indicate orientation of the visual marker. In some implementations, the plurality of markings are arranged in a plurality of concentric rings of increasing size. In some implementations, the orientation is encoded in a first set of gaps and data in a second set of gaps of the gaps in the plurality of markings.

Abstract: Various implementations disclosed herein include methods, electronic devices, and systems for performing perceptual-based color correction based on chromaticity values. To that end, in some implementations, a method is performed at an electronic device with one or more processors, a non-transitory memory, and a see-through display. The method includes determining a chromaticity value associated with ambient light from a physical environment. The chromaticity value quantifies the ambient light. The method includes determining a set of color correction values based on a function of the chromaticity value and image data. The set of color correction values and the chromaticity value together satisfy one or more perceptual criteria. The method includes modifying the image data in order to generate display data based on a function of the set of color correction values. The method includes displaying the display data on the see-through display.