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    Static Object Reconstruction Method and System
    1.
    发明申请
    Static Object Reconstruction Method and System 有权
    静态对象重建方法与系统

    公开(公告)号：US20160350904A1

    公开(公告)日：2016-12-01

    申请号：US15232229

    申请日：2016-08-09

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Guofeng Zhang ,  Hujun Bao ,  Kangkan Wang ,  Jiong Zhou

    IPC: G06T7/00 ,  G06T17/00 ,  G06K9/62

    CPC classification number: G06T7/85 ,  G06K9/6202 ,  G06T7/337 ,  G06T7/579 ,  G06T7/593 ,  G06T7/73 ,  G06T17/00 ,  G06T2207/10028 ,  G06T2207/20221 ,  G06T2207/30244

    Abstract: Embodiments of the present disclosure disclose a static object reconstruction method and system that are applied to the field of graph and image processing technologies. In the embodiments of the present disclosure, when a static object reconstruction system does not obtain, by means of calculation, an extrinsic camera parameter in a preset time when calculating the extrinsic camera parameter based on a three-dimensional feature point, it indicates that depth data collected by a depth camera is lost or damaged, and a two-dimensional feature point is used to calculate the extrinsic camera parameter to implement alignment of point clouds of a frame of image according to the extrinsic camera parameter. In this way, a two-dimensional feature point and a three-dimensional feature point are mixed, which can implement that a static object can also be successfully reconstructed when depth data collected by a depth camera is lost or damaged.

    Abstract translation: 本公开的实施例公开了应用于图形和图像处理技术领域的静态对象重建方法和系统。 在本公开的实施例中，当静态对象重建系统通过计算在基于三维特征点计算外在相机参数时在预设时间内获得外部相机参数时，其指示深度 由深度摄像机收集的数据丢失或损坏，并且使用二维特征点来计算外在摄像机参数，以根据外在摄像机参数来实现帧图像的点云的对准。 以这种方式，二维特征点和三维特征点被混合，这可以实现当深度相机收集的深度数据丢失或损坏时也可以成功地重建静态对象。

    Data Processing Method and Apparatus
    3.
    发明申请
    Data Processing Method and Apparatus 审中-公开

    公开(公告)号：US20170330375A1

    公开(公告)日：2017-11-16

    申请号：US15667917

    申请日：2017-08-03

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Zichong Chen ,  Guofeng Zhang ,  Kangkan Wang

    IPC: G06T17/20

    CPC classification number: G06T17/20 ,  G06T7/75 ,  G06T17/00 ,  G06T2200/04 ,  G06T2200/08 ,  G06T2207/10028 ,  G06T2207/30196 ,  G06T2215/16

    Abstract: A data processing method and apparatus are provided. The method includes obtaining a first reconstruction model of a target object and dividing the first reconstruction model into M local blocks. Additionally, the method includes obtaining N target object sample alignment models, where each target object sample alignment model and the first reconstruction model have a same corresponding posture parameter, each target object sample alignment model includes M local blocks, and the ith local block of each target object sample alignment model is aligned with the ith local block of the first reconstruction model, where i is 1, . . . , or M. The method also includes approximating the N target object sample alignment models to the first reconstruction model, to determine a second reconstruction model that is of the target object and includes M local blocks.

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