3D VIEW MODEL GENERATION OF AN OBJECT UTILIZING GEOMETRICALLY DIVERSE IMAGE CLUSTERS

    公开(公告)号:US20210019937A1

    公开(公告)日:2021-01-21

    申请号:US16516155

    申请日:2019-07-18

    Abstract: A computer vision method, executed by one or more processors, for generating a single 3D model view of a geographic scene includes: receiving image data for the scene from a plurality of sensors located at different angles with respect to the geographic scene; dividing the image data into a plurality of image spatial regions; correlating the image data in each image spatial region to obtain a score for each image data in each image spatial region; grouping the image data in each image spatial region into two or more image clusters, based on the scores for each image; performing a multi-ray intersection within each image cluster to obtain a 3D reference point for each region; for each region, combining the one or more clusters, based on the 3D reference point for the region; and registering the combined clusters for each region to obtain a single 3D model view of the scene.

    Information weighted rendering of 3D point set

    公开(公告)号:US11682142B2

    公开(公告)日:2023-06-20

    申请号:US17020195

    申请日:2020-09-14

    CPC classification number: G06T7/90 G06T15/08 G06T17/10 G06T2207/10028

    Abstract: Subject matter regards colorizing a three-dimensional (3D) point set. A method of colorizing a 3D point can include voxelizing 3D points including the 3D point into voxels such that a voxel of the voxels including the 3D point includes a voxel subset of the 3D points, projecting the voxel subset to respective image spaces of first and second images used to generate the 3D points, and associating a color value, determined based on a respective number of pixels of the first and second images to which the voxel subset projects, with the 3D point.

    SYSTEM AND METHOD FOR MULTIPLE HYPOTHESES TESTING FOR SURFACE ORIENTATION DURING 3D POINT CLOUD EXTRACTION FROM 2D IMAGERY
    8.
    发明申请
    SYSTEM AND METHOD FOR MULTIPLE HYPOTHESES TESTING FOR SURFACE ORIENTATION DURING 3D POINT CLOUD EXTRACTION FROM 2D IMAGERY 有权
    二维图像三维点云提取中表面方位多项测量的系统与方法

    公开(公告)号:US20140111511A1

    公开(公告)日:2014-04-24

    申请号:US14059812

    申请日:2013-10-22

    Inventor: Stephen J. Raif

    CPC classification number: G06T17/00 G06K9/00637 G06T7/579

    Abstract: The system and methods described herein operate on a plurality of images that include multiple views of the same scene, typically from slightly different viewing angles and/or lighting conditions. One of the images is selected as a reference image. For each image ray in a non-reference image, the system and methods resample a local region from the non-reference image's space to the reference image's space. The resampling is performed multiple times, each time with a different surface orientation hypothesis. The system and methods run cross-correlation style correlators on the resampled images, evaluate correlation scores for each of the resampled images, and select the surface orientation hypothesis associated with the highest correlation score. The system and methods project a peak of the correlation surface back through a geometry model for the selected surface orientation hypothesis to determine a three-dimensional (ground) location for the image ray.

    Abstract translation: 本文描述的系统和方法在包括相同场景的多个视图的多个图像上操作,通常来自略微不同的视角和/或照明条件。 选择其中一幅图像作为参考图像。 对于非参考图像中的每个图像光线,系统和方法将局部区域从非参考图像的空间重新采样到参考图像的空间。 进行多次重采样,每次采用不同的表面取向假设。 系统和方法在重采样图像上运行互相关样式相关器,评估每个重采样图像的相关性分数,并选择与最高相关分数相关的表面方位假说。 系统和方法通过用于所选择的表面取向假说的几何模型来投射相关表面的峰值,以确定图像光线的三维(地面)位置。

    VIIRS image processing
    9.
    发明授权

    公开(公告)号:US12051172B2

    公开(公告)日:2024-07-30

    申请号:US17519946

    申请日:2021-11-05

    CPC classification number: G06T3/4007

    Abstract: Systems and methods for VIIRS image processing. The method can include receiving image data of immediately adjacent VIIRS image scans including a first image scan and a second image scan. The first image scan and the second image scan provide a partially overlapping view of a geographic area. The method can further involve resampling columns of pixels of the first image scan and the second image scan. The resampling can include selecting, in the first image scan and the second image scan, a subset of pixel values in each column that correspond to a specified geographic distance. The method can further involve upsampling the selected pixels to an equal number of pixels in each column resulting in upsampled pixel values and interpolating the upsampled pixel values to produce modified first and second image scans.

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