Large-Scale Surface Reconstruction That Is Robust Against Tracking And Mapping Errors
    7.
    发明申请
    Large-Scale Surface Reconstruction That Is Robust Against Tracking And Mapping Errors 有权
    大规模的表面重建是鲁棒的跟踪和映射错误

    公开(公告)号:US20150145985A1

    公开(公告)日:2015-05-28

    申请号:US14091262

    申请日:2013-11-26

    Abstract: Depth maps of a physical space are obtained using a depth sensor carried by a rig such as a robot or a head mounted display device worn by a user. Visible light images are also obtained. The images and orientation readings are used to create a pose graph which includes nodes connected by links. The nodes are associated with different poses of the rig and the corresponding images. Links between the nodes represent correspondences between the images, and transforms between coordinate systems of the nodes. As new images are captured, the pose graph is updated to reduce an accumulation of errors. Furthermore, surfaces in the physical space can be reconstructed at any time according to the current state of the pose graph. Volumes used in a surface reconstruction process are anchored to the nodes such that the positions of the volumes are adjusted as the pose graph is updated.

    Abstract translation: 物理空间的深度图是使用由诸如机器人的钻机所携带的深度传感器或由用户佩戴的头戴式显示装置获得的。 还可以获得可见光图像。 图像和方向读数用于创建包括通过链接连接的节点的姿态图。 节点与钻机的不同姿势和相应的图像相关联。 节点之间的链接表示图像之间的对应关系,并且在节点的坐标系之间进行变换。 当捕获新图像时,更新姿势图以减少错误的累积。 此外,物理空间中的表面可以根据姿势图的当前状态随时重建。 在表面重构过程中使用的体积被锚定到节点,使得当姿势图被更新时,体积的位置被调整。

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