APPARATUS AND ASSOCIATED METHODS
    1.
    发明申请

    公开(公告)号:US20190213769A1

    公开(公告)日:2019-07-11

    申请号:US16325771

    申请日:2017-08-15

    Abstract: An apparatus configured to, in respect of virtual reality content comprising video imagery configured to provide a virtual reality space wherein a virtual reality view presented to a user provides for viewing of the VR space; based on a comment made by and a virtual location of a commenting-user in the virtual reality space when the comment was made; provide for determination of a point of interest in the virtual reality space, the point of interest identified based on, at least, the virtual location of the commenting-user when the comment was made and semantic analysis of the comment to identify the point of interest surrounding the virtual location to which the comment refers, the point of interest associated with the comment thereby enabling the comment to be overlaid over the virtual reality view of the video imagery.

    METHODS AND APPARATUSES FOR DETERMINING POSITIONS OF MULTI-DIRECTIONAL IMAGE CAPTURE APPARATUSES

    公开(公告)号:US20180293805A1

    公开(公告)日:2018-10-11

    申请号:US15948012

    申请日:2018-04-09

    Abstract: A method comprising performing image re-projection on each of a plurality of first images of a scene, thereby to generate a plurality of re-projected second images of the scene, wherein each first image of the scene is captured by a respective camera of a first multi-directional image capture apparatus and each second image of the scene is associated with a respective virtual camera; processing the plurality of second images based on a previously generated virtual three dimensional model of the scene, thereby to generate respective positions of the virtual cameras associated with the second images; and determining a position of the first multi-directional image capture apparatus based on one or more of the generated positions of the virtual cameras.

    APPARATUS AND A METHOD FOR NEURAL NETWORK COMPRESSION

    公开(公告)号:US20220083866A1

    公开(公告)日:2022-03-17

    申请号:US17423314

    申请日:2020-01-02

    Abstract: There is provided an apparatus comprising means for performing: training a neural network by applying an optimization loss function, wherein the optimization loss function considers empirical errors and model redundancy (210); pruning a trained neural network by removing one or more filters that have insignificant contributions from a set of filters (220); and providing the pruned neural network for transmission (230).

    METHODS AND APPARATUSES FOR PANORAMIC IMAGE PROCESSING

    公开(公告)号:US20190012804A1

    公开(公告)日:2019-01-10

    申请号:US16019349

    申请日:2018-06-26

    Abstract: This specification describes a method comprising generating, from a plurality of first images representing a scene, at least one stereoscopic panoramic image comprising a left-eye panoramic image and a right-eye panoramic image. Depth map images are generated corresponding to each of the left and right-eye panoramic images. Each of the left and right-eye panoramic images are re-projected to obtain a plurality of second images, each associated with a respective virtual camera. Each of the left and right-eye depth map images are re-projected to generate a re-projected depth map associated with each second image. A first three-dimensional model of the scene based on the plurality of second images is determined. A second three-dimensional model of the scene based on the plurality of re-projected depth map images is determined. One or more corresponding points of the first and second three-dimensional models is or are compared to determine a scaling factor.

    POINT CLOUD MATCHING METHOD
    5.
    发明申请
    POINT CLOUD MATCHING METHOD 有权
    点云匹配方法

    公开(公告)号:US20150339541A1

    公开(公告)日:2015-11-26

    申请号:US14714723

    申请日:2015-05-18

    Abstract: A method comprising: providing a first three-dimensional (3D) point cloud obtained according to a first sensing technique, a second 3D point cloud obtained according to a second sensing technique and a first radius of a sphere covering a real object underlying the second first 3D point cloud and a second radius of a sphere covering a real object underlying the second 3D point cloud; defining scales of the first 3D point cloud and the second 3D point cloud based on said first radius and second radius; searching statistically substantially similar candidate regions between the first 3D point cloud and the second 3D point cloud using an ensemble shape function (ESF); aligning the statistically substantially similar candidate regions between the first 3D point cloud and the second 3D point cloud at least in vertical direction; and ranking the aligned candidate regions between the 3D point clouds based on their structural similarity

    Abstract translation: 一种方法,包括:提供根据第一感测技术获得的第一三维(3D)点云,根据第二感测技术获得的第二3D点云和覆盖第二第一感测技术下面的真实对象的球体的第一半径 3D点云和覆盖第二3D点云下面的真实对象的球体的第二半径; 基于所述第一半径和第二半径来定义所述第一3D点云和所述第二3D点云的尺度; 使用集合形状函数(ESF)来搜索第一3D点云和第二3D点云之间的统计学上相似的候选区域; 至少在垂直方向上在第一3D点云和第二3D点云之间对准统计上基本相似的候选区域; 并且基于它们的结构相似性对3D点云之间的对齐的候选区域进行排序

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