Method and system for three-dimensionally reconstructing non-rigid body based on multi-depth-map
    2.
    发明授权
    Method and system for three-dimensionally reconstructing non-rigid body based on multi-depth-map 有权
    基于多深度图的三维重建非刚体的方法和系统

    公开(公告)号:US09472021B2

    公开(公告)日:2016-10-18

    申请号:US14261807

    申请日:2014-04-25

    CPC classification number: G06T17/00 G06T7/55 G06T7/579 G06T2207/10028

    Abstract: A method and a system for three-dimensionally reconstructing a non-rigid body based on a multi-depth-map are provided. The method comprises: obtaining a plurality of depth maps by shooting the non-rigid body in different postures and from different angles; transforming each depth map to one group of three-dimensional point clouds and obtaining a plurality of matching point pairs among a plurality of groups of three-dimensional point clouds; conducting a position transformation for each matching point and obtaining a transformation parameter corresponding to the each matching point after the position transformation; mosaicing all transformation parameters to obtain a mosaicing result and constructing an energy function according to the mosaicing result; and solving the energy function to obtain a solution result and reconstructing a three-dimensional model of the non-rigid body according to the solution result.

    Abstract translation: 提供了一种基于多深度图的用于三维重建非刚体的方法和系统。 该方法包括:通过以不同姿态和不同角度拍摄非刚体获得多个深度图; 将每个深度图变换成一组三维点云,并在多个三维点云组中获得多个匹配点对; 对每个匹配点进行位置变换,并获得与位置变换之后的每个匹配点对应的变换参数; 镶嵌所有变换参数,以获得镶嵌结果,并根据镶嵌结果构建能量函数; 并求解能量函数以获得解决结果,并根据解决结果重建非刚体的三维模型。

    Method And System For Three-Dimensionally Reconstructing Non-Rigid Body Based On Multi-Depth-Map
    3.
    发明申请
    Method And System For Three-Dimensionally Reconstructing Non-Rigid Body Based On Multi-Depth-Map 有权
    基于多层次地图三维重建非刚体的方法与系统

    公开(公告)号:US20140320491A1

    公开(公告)日:2014-10-30

    申请号:US14261807

    申请日:2014-04-25

    CPC classification number: G06T17/00 G06T7/55 G06T7/579 G06T2207/10028

    Abstract: A method and a system for three-dimensionally reconstructing a non-rigid body based on a multi-depth-map are provided. The method comprises: obtaining a plurality of depth maps by shooting the non-rigid body in different postures and from different angles; transforming each depth map to one group of three-dimensional point clouds and obtaining a plurality of matching point pairs among a plurality of groups of three-dimensional point clouds; conducting a position transformation for each matching point and obtaining a transformation parameter corresponding to the each matching point after the position transformation; mosaicing all transformation parameters to obtain a mosaicing result and constructing an energy function according to the mosaicing result; and solving the energy function to obtain a solution result and reconstructing a three-dimensional model of the non-rigid body according to the solution result.

    Abstract translation: 提供了一种基于多深度图的用于三维重建非刚体的方法和系统。 该方法包括:通过以不同姿态和不同角度拍摄非刚体获得多个深度图; 将每个深度图变换成一组三维点云,并在多个三维点云组中获得多个匹配点对; 对每个匹配点进行位置变换,并获得与位置变换之后的每个匹配点对应的变换参数; 镶嵌所有变换参数,以获得镶嵌结果,并根据镶嵌结果构建能量函数; 并求解能量函数以获得解决结果,并根据解决结果重建非刚体的三维模型。

    DYNAMIC SCENE THREE-DIMENSIONAL RECONSTRUCTION METHOD, APPARATUS AND SYSTEM, SERVER, AND MEDIUM

    公开(公告)号:US20210074012A1

    公开(公告)日:2021-03-11

    申请号:US16975242

    申请日:2019-04-23

    Abstract: Provided are a three-dimensional reconstruction method, apparatus and system of a dynamic scene, a server and a medium. The method includes: acquiring multiple continuous depth image sequences of the dynamic scene, where the multiple continuous depth image sequences are captured by an array of drones equipped with depth cameras; fusing the multiple continuous depth image sequences to establish a three-dimensional reconstruction model of the dynamic scene; obtaining target observation points of the array of drones through calculation according to the three-dimensional reconstruction model and current poses of the array of drones; and instructing the array of drones to move to the target observation points to capture, and updating the three-dimensional reconstruction model according to multiple continuous depth image sequences captured by the array of drones at the target observation points.

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