Contextual Matching
    1.
    发明申请

    公开(公告)号:US20250005894A1

    公开(公告)日:2025-01-02

    申请号:US18886628

    申请日:2024-09-16

    Applicant: Apple Inc.

    Abstract: Feature descriptor matching is reformulated into a graph-matching problem. Keypoints from a query image and a reference image are initially matched and filtered based on the match. For a given keypoint, a feature graph is constructed based on neighboring keypoints surrounding the given keypoint. The feature graph is compared to a corresponding feature graph of a reference image for the matched keypoint. Relocalization data is obtained based on the comparison.

    Model and ensemble compression for metric learning

    公开(公告)号:US11281993B2

    公开(公告)日:2022-03-22

    申请号:US15832671

    申请日:2017-12-05

    Applicant: Apple Inc.

    Abstract: Systems and processes for metric learning distillation are disclosed herein. In accordance with one example, a method includes, at an electronic device, at an electronic device having one or more processors and memory, receiving a first plurality of vectors from a first model, receiving a second plurality of vectors from a second model, determining a first plurality of vector distances based on the first plurality of vectors, generating a first matrix based on the first plurality of vector distances, determining a second plurality of vector distances based on the second plurality of vectors, generating a second matrix based on the second plurality of vector distances, comparing the first matrix with the second matrix, and adjusting the second model based on the comparison of the first matrix and the second matrix.

    MODEL AND ENSEMBLE COMPRESSION FOR METRIC LEARNING

    公开(公告)号:US20180157992A1

    公开(公告)日:2018-06-07

    申请号:US15832671

    申请日:2017-12-05

    Applicant: Apple Inc.

    CPC classification number: G06N20/00 G06F3/04817 G06F3/04883 G06N5/02

    Abstract: Systems and processes for metric learning distillation are disclosed herein. In accordance with one example, a method includes, at an electronic device, at an electronic device having one or more processors and memory, receiving a first plurality of vectors from a first model, receiving a second plurality of vectors from a second model, determining a first plurality of vector distances based on the first plurality of vectors, generating a first matrix based on the first plurality of vector distances, determining a second plurality of vector distances based on the second plurality of vectors, generating a second matrix based on the second plurality of vector distances, comparing the first matrix with the second matrix, and adjusting the second model based on the comparison of the first matrix and the second matrix.

    POSITIONAL TRACKING WITHIN AN OBJECT-BASED COORDINATE SYSTEM

    公开(公告)号:US20240378827A1

    公开(公告)日:2024-11-14

    申请号:US18765506

    申请日:2024-07-08

    Applicant: Apple Inc.

    Abstract: Various implementations disclosed herein include devices, systems, and methods that track a position of a device within an object-based coordinate system. An example process may include, at a device and prior to movement of an object, acquiring first images of the object, identifying three-dimensional (3D) keypoints on surfaces of the object, and tracking positions of the device in an object-based coordinate system during acquisition of the first images. The process may further include, subsequent to a movement of the object, acquiring second images of the object, identifying the 3D keypoints on surfaces of the object, and tracking positions of the device in the object-based coordinate system during acquisition of the second images based on identifying the 3D keypoints. The process may further include generating a 3D model of the object based on the first and second images and the tracked positions of the device during acquisition of the images.

    Contextual Matching
    5.
    发明申请

    公开(公告)号:US20220092334A1

    公开(公告)日:2022-03-24

    申请号:US17410630

    申请日:2021-08-24

    Applicant: Apple Inc.

    Abstract: Feature descriptor matching is reformulated into a graph-matching problem. Keypoints from a query image and a reference image are initially matched and filtered based on the match. For a given keypoint, a feature graph is constructed based on neighboring keypoints surrounding the given keypoint. The feature graph is compared to a corresponding feature graph of a reference image for the matched keypoint. Relocalization data is obtained based on the comparison.

    OBJECT CENTRIC SCANNING
    7.
    发明公开

    公开(公告)号:US20240062488A1

    公开(公告)日:2024-02-22

    申请号:US18385943

    申请日:2023-11-01

    Applicant: Apple Inc.

    Abstract: Various implementations disclosed herein include devices, systems, and methods that generates a three-dimensional (3D) model of an object based on images and tracked positions of a device during acquisition of the images. For example, an example process may include acquiring sensor data during movement of the device in a physical environment including an object, the sensor data including images of a physical environment acquired via a camera on the device, identifying the object in at least some of the images, tracking positions of the device during acquisition of the images based on identifying the object in the at least some of the images, the positions identifying positioning of the device with respect to a coordinate system defined based on a position and orientation of the object, and generating a 3D model of the object based on the images and positions of the device during acquisition of the images.

    OBJECT CENTRIC SCANNING
    8.
    发明申请

    公开(公告)号:US20210279967A1

    公开(公告)日:2021-09-09

    申请号:US17179487

    申请日:2021-02-19

    Applicant: Apple Inc.

    Abstract: Various implementations disclosed herein include devices, systems, and methods that generates a three-dimensional (3D) model of an object based on images and tracked positions of a device during acquisition of the images. For example, an example process may include acquiring sensor data during movement of the device in a physical environment including an object, the sensor data including images of a physical environment acquired via a camera on the device, identifying the object in at least some of the images, tracking positions of the device during acquisition of the images based on identifying the object in the at least some of the images, the positions identifying positioning of the device with respect to a coordinate system defined based on a position and orientation of the object, and generating a 3D model of the object based on the images and positions of the device during acquisition of the images.

Patent Agency Ranking