Modeling a geographical space for a computer-generated reality experience

    公开(公告)号:US11488352B1

    公开(公告)日:2022-11-01

    申请号:US16747063

    申请日:2020-01-20

    Applicant: Apple Inc.

    Inventor: Daniel Kurz

    Abstract: Various implementations disclosed herein include devices, systems, and methods for modeling a geographical space for a computer-generated reality (CGR) experience. In some implementations, a method is performed by a device including a non-transitory memory and one or more processors coupled with the non-transitory memory. In some implementations, the method includes obtaining a set of images. In some implementations, the method includes providing the set of images to an image classifier that determines whether the set of images correspond to a geographical space. In some implementations, the method includes establishing correspondences between at least a subset of the set of images in response to the image classifier determining that the subset of images correspond to the geographical space. In some implementations, the method includes synthesizing a model of the geographical space based on the correspondences between the subset of images.

    Method and system for determining spatial coordinates of a 3D reconstruction of at least part of a real object at absolute spatial scale

    公开(公告)号:US20210110560A1

    公开(公告)日:2021-04-15

    申请号:US17076507

    申请日:2020-10-21

    Applicant: Apple Inc.

    Abstract: Determining spatial coordinates of a 3D reconstruction includes obtaining, from a first camera system, a first image comprising a first real object, obtaining, from a second camera system, a second image comprising a second real object associated with known geometric properties, wherein the first camera system and the second camera system have a known spatial relationship, and determining a scale of the face based on the second image and the known geometric properties of the at least part of the second real object. Determining the spatial coordinates of the 3D reconstruction also includes determining a pose of the first and second camera systems, and determining the spatial coordinates based on the pose of the first camera system and the scale of the at least part of the second real object.

    Method and system for determining spatial coordinates of a 3D reconstruction of at least part of a real object at absolute spatial scale

    公开(公告)号:US20200051267A1

    公开(公告)日:2020-02-13

    申请号:US16546833

    申请日:2019-08-21

    Applicant: Apple Inc.

    Abstract: Determining spatial coordinates of a 3D reconstruction includes obtaining, from a first camera system, a first image comprising a first real object, obtaining, from a second camera system, a second image comprising a second real object associated with known geometric properties, wherein the first camera system and the second camera system have a known spatial relationship, and determining a scale of the face based on the second image and the known geometric properties of the at least part of the second real object. Determining the spatial coordinates of the 3D reconstruction also includes determining a pose of the first and second camera systems, and determining the spatial coordinates based on the pose of the first camera system and the scale of the at least part of the second real object.

    Method of Providing Image Feature Descriptors

    公开(公告)号:US20190362179A1

    公开(公告)日:2019-11-28

    申请号:US16531678

    申请日:2019-08-05

    Applicant: Apple Inc.

    Abstract: A method of providing a set of feature descriptors configured to be used in matching an object in an image of a camera is provided. The method includes: a) providing at least two images of a first object; b) extracting in at least two of the images at least one feature from the respective image, c) providing at least one descriptor for an extracted feature, and storing the descriptors; d) matching descriptors in the first set of descriptors; e) computing a score parameter based on the result of the matching process; f) selecting at least one descriptor based on its score parameter; g) adding the selected descriptor(s) to a second set of descriptors; and h) updating the score parameter of descriptors in the first set based on a selection process and to the result of the matching process.

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