System and method for automatically registering an image to a three-dimensional point set
    24.
    发明授权
    System and method for automatically registering an image to a three-dimensional point set 有权
    自动将图像注册到三维点集的系统和方法

    公开(公告)号:US09269145B2

    公开(公告)日:2016-02-23

    申请号:US14059802

    申请日:2013-10-22

    Abstract: A system and methods can create a synthetic image of a target from a 3D data set, by using an electro-optical (EO) image and sun geometry associated with the EO image. In some examples, a 3D surface model is created from a 3D data set. The 3D surface model establishes a local surface orientation at each point in the 3D data set. A surface shaded relief (SSR) is produced from the local surface orientation, from an EO image, and from sun geometry associated with the EO image. Points in the SSR that are in shadows are shaded appropriately. The SSR is projected into the image plane of the EO image. Edge-based registration extracts tie points from the projected SSR. The 3D data set converts the tie points to ground control points. A geometric bundle adjustment aligns the EO image geometry to the 3D data set.

    Abstract translation: 系统和方法可以通过使用与EO图像相关联的电光(EO)图像和太阳几何从3D数据集创建目标的合成图像。 在一些示例中,3D表面模型是从3D数据集创建的。 3D表面模型在3D数据集中的每个点建立局部表面取向。 表面阴影浮雕(SSR)从局部表面取向,从EO图像和与EO图像相关联的太阳几何产生。 阴影中的SSR中的点适当地阴影。 将SSR投影到EO图像的图像平面中。 基于边缘的注册提取了SSR中的连接点。 3D数据集将连接点转换为地面控制点。 几何束调整将EO图像几何与3D数据集对齐。

    METHODS AND PROCESSES FOR INTERACTIVE DISPLAY OF THREE DIMENSIONAL COVARIANCE
    25.
    发明申请
    METHODS AND PROCESSES FOR INTERACTIVE DISPLAY OF THREE DIMENSIONAL COVARIANCE 有权
    三维相互作用交互显示的方法与过程

    公开(公告)号:US20140354647A1

    公开(公告)日:2014-12-04

    申请号:US14285478

    申请日:2014-05-22

    Inventor: Jody D. Verret

    CPC classification number: G06T19/20 G01S5/16 G06T2219/2004 G06T2219/2016

    Abstract: A system and method for displaying a three-dimensional surface along with ellipsoids representing covariances. In one embodiment, at a point on a three dimensional surface, an ellipsoid is formed having principal axes proportional to the eigenvalues of a covariance matrix. The ellipsoid and the three-dimensional surface are projected onto a two-dimensional plane for display on a two-dimensional screen to a user. The covariance matrix may be an estimated error covariance or a sample covariance.

    Abstract translation: 用于显示三维表面以及表示协方差的椭圆体的系统和方法。 在一个实施例中,在三维表面上的点处,形成具有与协方差矩阵的特征值成比例的主轴的椭圆体。 将椭圆体和三维表面投影到二维平面上,以在用户的​​二维屏幕上显示。 协方差矩阵可以是估计的误差协方差或样本协方差。

    EXTRACTION OF 3D EVALUATION POINTS FOR IMAGE CONJUGATES

    公开(公告)号:US20250069330A1

    公开(公告)日:2025-02-27

    申请号:US18455416

    申请日:2023-08-24

    Abstract: Devices, systems, and methods for three-dimensional (3D) evaluation point (3DEP) identification; wherein a method can include receiving a first conjugate point of a first real two-dimensional (2D) image, receiving a second conjugate point of a second real 2D image, the first and second conjugate points corresponding to a same geographical location, determining a first set of points of a 3D point set that project to within a specified distance of the first conjugate point in the first real 2D image, determining a second set of points of the 3D point set that project to within the specified distance of the second conjugate point in the second real 2D image, identifying a common point in both the first set of points and the second set of points that satisfies a specified heuristic relative to all other points in both the first set of points and the second set of points, and using the point as the 3DEP.

    Determining minimum region for finding planar surfaces

    公开(公告)号:US11978158B2

    公开(公告)日:2024-05-07

    申请号:US17443713

    申请日:2021-07-27

    Abstract: Systems, devices, methods, and computer-readable media for determining planarity in a 3D data set are provided. A method can include receiving or retrieving three-dimensional (3D) data of a geographical region, dividing the 3D data into first contiguous regions of specified first geographical dimensions, determining, for each first contiguous region of the first contiguous regions, respective measures of variation, identifying, based on the respective measures of variation, a search radius, dividing the 3D data into respective second contiguous or overlapping regions with dimensions the size of the identified search radius, and determining, based on the identified search radius, a planarity of each of the respective second contiguous or overlapping regions.

    Automatic multi-image 3D ground control point extraction

    公开(公告)号:US11538135B2

    公开(公告)日:2022-12-27

    申请号:US16800846

    申请日:2020-02-25

    Abstract: Discussed herein are devices, systems, and methods for multi-image ground control point (GCP) determination. A method can include extracting, from a first image including image data of a first geographical region, a first image template, the first image template including a contiguous subset of pixels from the first image and a first pixel of the first image indicated by the GCP, predicting a first pixel location of the GCP in a second image, the second image including image data of a second geographical overlapping with the first geographical region, extracting, from the second image, a second image template, the second image template including a contiguous subset of pixels from the second image and a second pixel corresponding to the pixel location, identifying a second pixel of the second image corresponding to a highest correlation score, and adding a second pixel location of the identified pixel to the GCP.

    AUTOMATIC MULTI-IMAGE 3D GROUND CONTROL POINT EXTRACTION

    公开(公告)号:US20210264561A1

    公开(公告)日:2021-08-26

    申请号:US16800846

    申请日:2020-02-25

    Abstract: Discussed herein are devices, systems, and methods for multi-image ground control point (GCP) determination. A method can include extracting, from a first image including image data of a first geographical region, a first image template, the first image template including a contiguous subset of pixels from the first image and a first pixel of the first image indicated by the GCP, predicting a first pixel location of the GCP in a second image, the second image including image data of a second geographical overlapping with the first geographical region, extracting, from the second image, a second image template, the second image template including a contiguous subset of pixels from the second image and a second pixel corresponding to the pixel location, identifying a second pixel of the second image corresponding to a highest correlation score, and adding a second pixel location of the identified pixel to the GCP.

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