Environment classification based on light assessment

    公开(公告)号:US12209902B1

    公开(公告)日:2025-01-28

    申请号:US18238712

    申请日:2023-08-28

    Applicant: Apple Inc.

    Abstract: Various implementations disclosed herein include devices, systems, and methods that determine a type of environment based on light assessment. For example, an example process may include obtaining a first set of light data from a first sensor (e.g., a multiwavelength ambient light sensor) in a physical environment that includes a light source. The first set of light data may identify diffuse light in each of multiple light wavelength ranges that is received by the first sensor. The process may further include obtaining a second set of data from the second sensor in the physical environment. The process may further include determining, based on the first set of light data and the second set of data, that the physical environment is a first type of environment (e.g., indoor) or a second type of environment (e.g., outdoor) based on a set of criteria (e.g., artificial light vs. sunlight).

    Optimal matching of image portion data sets

    公开(公告)号:US11977951B1

    公开(公告)日:2024-05-07

    申请号:US18213034

    申请日:2023-06-22

    Applicant: Apple Inc.

    CPC classification number: G06K7/10722 G06K7/1417

    Abstract: Various implementations disclosed herein include devices, systems, and methods that match image portions of a first set of image portions and image portions of another set of image portions. This may be performed in a such a way that the sum of descriptor distances of the matched image portions is optimized in a globally optimal way. In some implementations, the matching is subject to one or more constraints, e.g., ensuring that each image portion of the first data set is matched with at least one image portion of the second data set and ensuring that each image portion of the second data set is matched with only one image portion of the first data set.

    Color correction based on perceptual criteria and ambient light chromaticity

    公开(公告)号:US11955099B2

    公开(公告)日:2024-04-09

    申请号:US18099436

    申请日:2023-01-20

    Applicant: Apple Inc.

    CPC classification number: G09G5/02 G06V10/60 G09G2360/144

    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.

    Semantic-based image mapping for a display

    公开(公告)号:US11935503B1

    公开(公告)日:2024-03-19

    申请号:US17225366

    申请日:2021-04-08

    Applicant: Apple Inc.

    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.

    Modifying display operating parameters based on light superposition from a physical environment

    公开(公告)号:US11892632B2

    公开(公告)日:2024-02-06

    申请号:US17028043

    申请日:2020-09-22

    Applicant: Apple Inc.

    CPC classification number: G02B27/0172 G06F3/1407 G02B2027/014 G02B2027/0112

    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.

    Color Correction Based on Perceptual Criteria and Ambient Light Chromaticity

    公开(公告)号:US20230298541A1

    公开(公告)日:2023-09-21

    申请号:US18099436

    申请日:2023-01-20

    Applicant: Apple Inc.

    CPC classification number: G09G5/02 G06V10/60 G09G2360/144

    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.

    TRANSPARENT INSERT IDENTIFICATION
    39.
    发明申请

    公开(公告)号:US20220391608A1

    公开(公告)日:2022-12-08

    申请号:US17824339

    申请日:2022-05-25

    Applicant: Apple Inc.

    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.

    Localization Accuracy Response
    40.
    发明申请

    公开(公告)号:US20220319128A1

    公开(公告)日:2022-10-06

    申请号:US17711119

    申请日:2022-04-01

    Applicant: Apple Inc.

    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.

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