Method for Camera Alignment Mitigations for Systems with Multiple Cameras

    公开(公告)号:US20250088731A1

    公开(公告)日:2025-03-13

    申请号:US18621999

    申请日:2024-03-29

    Applicant: Apple Inc.

    Abstract: Mitigations for camera alignment during image capture preview involve receiving a zoom level request for a multicamera system comprising a first camera having a first optical zoom metric and a second camera having a second optical zoom metric, and obtaining an image frame from the first camera. A target transformation is determined based on difference between the first optical zoom and a requested zoom level, the second camera's native optical zoom level, the relative orientation of the first and second cameras within the system framework and the relative intrinsics on the two cameras. The transformation is applied before, in conjunction with, or followed by a separate digital zoom transform to the image frame to obtain a transformed and digitally zoomed image frame transformation.

    Distortion compensation in video image stabilization

    公开(公告)号:US12052498B2

    公开(公告)日:2024-07-30

    申请号:US17805119

    申请日:2022-06-02

    Applicant: Apple Inc.

    CPC classification number: H04N23/683 G06T5/80 H04N23/67 H04N23/687

    Abstract: Devices, methods, and non-transitory program storage devices are disclosed to provide techniques for distortion compensation in images that are subject to video image stabilization (VIS), e.g., electronic image stabilization (EIS). In some embodiments, the techniques comprise: obtaining a first image captured by a first image capture device; determining a first set of image parameters configured to apply a first distortion operation (e.g., an un-distortion operation) to the first image; determining a second set of image parameters configured to apply a first stabilization operation to a first version of the first image that has already had the first distortion operation applied; determining a third set of image parameters configured to apply a second distortion operation (e.g., an idealized, field of view-preserving, re-distortion operation) to the first image; and applying the determined first, second, and third sets of image parameters to the first image to generate a distortion-compensated and stabilized output image.

    Distortion Compensation in Video Image Stabilization

    公开(公告)号:US20220394180A1

    公开(公告)日:2022-12-08

    申请号:US17805119

    申请日:2022-06-02

    Applicant: Apple Inc.

    Abstract: Devices, methods, and non-transitory program storage devices are disclosed to provide techniques for distortion compensation in images that are subject to video image stabilization (VIS), e.g., electronic image stabilization (EIS). In some embodiments, the techniques comprise: obtaining a first image captured by a first image capture device; determining a first set of image parameters configured to apply a first distortion operation (e.g., an un-distortion operation) to the first image; determining a second set of image parameters configured to apply a first stabilization operation to a first version of the first image that has already had the first distortion operation applied; determining a third set of image parameters configured to apply a second distortion operation (e.g., an idealized, field of view-preserving, re-distortion operation) to the first image; and applying the determined first, second, and third sets of image parameters to the first image to generate a distortion-compensated and stabilized output image.

    Single And Multi-Camera Calibration
    5.
    发明申请
    Single And Multi-Camera Calibration 审中-公开
    单和多相机校准

    公开(公告)号:US20170070731A1

    公开(公告)日:2017-03-09

    申请号:US15256526

    申请日:2016-09-03

    Applicant: Apple Inc.

    CPC classification number: H04N17/002 G06T7/337 G06T7/80 G06T7/85

    Abstract: Camera calibration includes capturing a first image of an object by a first camera, determining spatial parameters between the first camera and the object using the first image, obtaining a first estimate for an optical center, iteratively calculating a best set of optical characteristics and test setup parameters based on the first estimate for the optical center until the difference in a most recent calculated set of optical characteristics and previously calculated set of optical characteristics satisfies a predetermined threshold, and calibrating the first camera based on the best set of optical characteristics. Multi-camera system calibration may include calibrating, based on a detected misalignment of features in multiple images, the multi-camera system using a context of the multi-camera system and one or more prior stored contexts.

    Abstract translation: 相机校准包括通过第一相机捕获对象的第一图像,使用第一图像确定第一相机和对象之间的空间参数,获得光学中心的第一估计值,迭代地计算最佳的一组光学特性和测试设置 基于光学中心的第一估计的参数,直到最近计算出的光学特性集合的差异和先前计算出的光学特性的组合满足预定阈值,并且基于最佳的光学特性集来校准第一相机。 多摄像机系统校准可以包括基于检测到的多个图像中的特征的不对准,使用多摄像机系统的上下文和一个或多个先前存储的上下文来校准多摄像机系统。

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