METHOD AND IMAGE PROCESSING ARRANGEMENT FOR ESTIMATING A LIKELY POSE IN RESPECT OF A SPATIAL REGION

    公开(公告)号:US20230401742A1

    公开(公告)日:2023-12-14

    申请号:US18452401

    申请日:2023-08-18

    发明人: Onay Urfalioglu

    IPC分类号: G06T7/73

    CPC分类号: G06T7/74 G06T2207/30244

    摘要: There is provided a method for estimating a pose of an image in a spatial region and an image processing arrangement. The image processing arrangement is coupled to an imaging capturing arrangement configured to capture one or more 2-D images of a scene within the spatial region. The image processing arrangement is provided with spatial coordinates of a plurality of 3-D point locations within the spatial region. The method includes identifying key features present in 2-D images; identifying a correspondence of clusters of the plurality of 3-D point locations to key feature points present in the 2-D images; and from the identified correspondence, estimating the likely pose of the image processing arrangement relative to the spatial region by using a multi-match likelihood function that finds for each 3-D point location a closest 2-D feature point among k possible 2-D key feature points, where k is an integer greater than one.

    IMAGE PROCESSING APPARATUS AND METHOD
    3.
    发明申请

    公开(公告)号:US20170316570A1

    公开(公告)日:2017-11-02

    申请号:US15655841

    申请日:2017-07-20

    IPC分类号: G06T7/557 H04N5/247

    摘要: The disclosure relates to an image processing apparatus for determining a depth of a pixel of a reference image of a plurality of images representing a visual scene relative to a plurality of locations, wherein the plurality of locations define a two-dimensional grid with rows and columns and wherein the location of the reference image is associated with a reference row and a reference column of the grid. The image processing apparatus comprises a depth determiner configured to determine a first depth estimate on the basis of the reference image and a first subset of the plurality of images for determining the depth of the pixel of the reference image, wherein the images of the first subset are associated with locations being associated with a row of the grid different than the reference row and with a column of the grid different than the reference column.

    SAMPLING BASED SELF-SUPERVISED DEPTH AND POSE ESTIMATION

    公开(公告)号:US20230281862A1

    公开(公告)日:2023-09-07

    申请号:US18315325

    申请日:2023-05-10

    IPC分类号: G06T7/70 G06T7/55

    摘要: A method estimates a camera pose change estimation. The method includes capturing a first image of a scene with a first camera, obtaining a depth map with respect to the first camera based on the first image, capturing a second image of the scene with a second camera. The method also includes obtaining a pose change from the first camera pose to the second camera pose based on the first image and the second image, generating a set of additional pose changes based on the pose change, obtaining a set of reconstructed images and, matching each reconstructed image of the set of reconstructed images with the second image. The method selects a camera pose change estimation from the pose change and the set of additional pose changes that corresponds to a best matching reconstructed image.

    Method for Obtaining a Picture and Multi-Camera System
    8.
    发明申请
    Method for Obtaining a Picture and Multi-Camera System 有权
    获取图像和多相机系统的方法

    公开(公告)号:US20160248988A1

    公开(公告)日:2016-08-25

    申请号:US15147482

    申请日:2016-05-05

    摘要: A method and a multi-camera system for obtaining pictures with improved image quality. At least two cameras are used for each capturing an image, and a fast shooting mode is employed. The fast shooting mode may work in a preprocessing mode, in which the captured image of highest sharpness is acquired as a final picture, or may work in a post processing mode, in which multiple captured images are acquired, and are then post-processed to obtain a final picture of high image quality. In both modes it may be automatically determined, whether to activate the fast shooting mode or not. The determination is based on a relative movement of the multi-camera system to an object of interest, or is based on a shooting behavior of the user.

    摘要翻译: 一种用于获得具有改善的图像质量的图像的方法和多相机系统。 每个拍摄图像至少使用两个相机,并采用快速拍摄模式。 快速拍摄模式可以在预处理模式下工作,其中获取最高锐度的拍摄图像作为最终图像,或者可以在后处理模式下工作,其中获取多个拍摄图像,然后对其进行后处理 获得高图像质量的最终图像。 在这两种模式下,可以自动确定是否激活快速拍摄模式。 该确定基于多摄像机系统相对于感兴趣对象的相对运动,或者基于用户的拍摄行为。

    Advanced driver assistance system and method

    公开(公告)号:US11164012B2

    公开(公告)日:2021-11-02

    申请号:US16729268

    申请日:2019-12-27

    摘要: A driver assistance system detects lane markings in a perspective image of a road in front of a vehicle. The driver assistance system extracts a plurality of features, in particular lane markings, from the perspective image for generating a set of feature coordinates, in particular lane marking coordinates. The system generates a plurality of pairs of feature coordinates, each pair defining a straight line, and estimates a lane curvature on the basis of a subset of the pairs of feature coordinates. For each pair a straight line defined by the pair intersects a predefined target portion of the perspective image, the predefined target portion including a plurality of possible positions of a vanishing point.

    Image processing apparatus and method

    公开(公告)号:US11055827B2

    公开(公告)日:2021-07-06

    申请号:US16729039

    申请日:2019-12-27

    IPC分类号: G06T5/00 G06T5/50

    摘要: The invention relates to an image processing apparatus for generating an HDR image associated with a first view on the basis of a plurality of LDR images, including a first LDR image and a second LDR image. The first LDR image is associated with the first view and a first exposure, i.e. a first dynamic range, and the second LDR image is associated with a second view and a second exposure, i.e. a second dynamic range. The image processing apparatus comprises a processor configured to provide a neural network having a plurality of neural subnetworks including a first neural subnetwork. The first neural subnetwork is configured to generate the HDR image on the basis of: (i) the first LDR image, (ii) the second LDR image, and (iii) a modified first LDR image. The modified first LDR image is associated with the first view and the second exposure.