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    System and method of capturing three-dimensional human motion capture with LiDAR
    2.
    发明授权
    System and method of capturing three-dimensional human motion capture with LiDAR 有权

    公开(公告)号：US12270910B2

    公开(公告)日：2025-04-08

    申请号：US17884273

    申请日：2022-08-09

    Applicant: XIAMEN UNIVERSITY ,  SHANGHAITECH UNIVERSITY

    Inventor： Cheng Wang ,  Jialian Li ,  Lan Xu ,  Chenglu Wen ,  Jingyi Yu

    IPC: G01S17/89 ,  G01S17/86 ,  G06N20/00

    Abstract: Described herein are systems and methods for training machine learning models to generate three-dimensional (3D) motions based on light detection and ranging (LiDAR) point clouds. In various embodiments, a computing system can encode a machine learning model representing an object in a scene. The computing system can train the machine learning model using a dataset comprising synchronous LiDAR point clouds captured by monocular LiDAR sensors and ground-truth three-dimensional motions obtained from IMU devices. The machine learning model can be configured to generate a three-dimensional motion of the object based on an input of a plurality of point cloud frames captured by a monocular LiDAR sensor.

    NEURAL OPACITY POINT CLOUD
    4.
    发明申请
    NEURAL OPACITY POINT CLOUD 有权

    公开(公告)号：US20230071559A1

    公开(公告)日：2023-03-09

    申请号：US17980754

    申请日：2022-11-04

    Applicant: SHANGHAITECH UNIVERSITY

    Inventor： Cen WANG ,  Jingyi Yu

    IPC: G06T15/50 ,  G06T15/20 ,  G06T7/55 ,  G06T7/80 ,  G06T7/194

    Abstract: A method of rendering an object is provided. The method comprises: encoding a feature vector to each point in a point cloud for an object, wherein the feature vector comprises an alpha matte; projecting each point in the point cloud and the corresponding feature vector to a target view to compute a feature map; and using a neural rendering network to decode the feature map into a RGB image and the alpha matte and to update the feature vector.

    System and method for extracting planar surface from depth image
    5.
    发明授权
    System and method for extracting planar surface from depth image 有权

    公开(公告)号：US11861840B2

    公开(公告)日：2024-01-02

    申请号：US17219555

    申请日：2021-03-31

    Applicant: SHANGHAITECH UNIVERSITY

    Inventor： Ziran Xing ,  Zhiru Shi ,  Yi Ma ,  Jingyi Yu

    IPC: G06T7/11 ,  G06T7/162 ,  G06T7/187 ,  G06T7/50

    CPC classification number: G06T7/11 ,  G06T7/162 ,  G06T7/187 ,  G06T7/50 ,  G06T2207/10028

    Abstract: According to some embodiments, an imaging processing method for extracting a plurality of planar surfaces from a depth map includes computing a depth change indication map (DCI) from a depth map in accordance with a smoothness threshold. The imaging processing method further includes recursively extracting a plurality of planar region from the depth map, wherein the size of each planar region is dynamically adjusted according to the DCI. The imaging processing method further includes clustering the extracted planar regions into a plurality of groups in accordance with a distance function; and growing each group to generate pixel-wise segmentation results and inlier points statistics simultaneously.

    Method and system for three-dimensional model reconstruction
    6.
    发明授权
    Method and system for three-dimensional model reconstruction 有权

    公开(公告)号：US10762654B2

    公开(公告)日：2020-09-01

    申请号：US16675617

    申请日：2019-11-06

    Applicant: SHANGHAITECH UNIVERSITY

    Inventor： Jingyi Yu

    IPC: G06T7/557 ,  G06T17/00 ,  G06T15/20 ,  G06T7/73

    Abstract: A method of generating a three-dimensional model of an object is disclosed. The method may use a light field camera to capture a plurality of light field images at a plurality of viewpoints. The method may include capturing a first light field image at a first viewpoint; capturing a second light field image at the second viewpoint; estimating a rotation and a translation of a light field from the first viewpoint to the second viewpoint; obtaining a disparity map from each of the plurality of light field image; and computing a three-dimensional point cloud by optimizing the rotation and translation of the light field and the disparity map. The first light field image may include a first plurality of subaperture images and the second light field image may include a second plurality of subaperture images.

    Light field based reflection removal
    7.
    发明授权
    Light field based reflection removal 有权

    公开(公告)号：US11880964B2

    公开(公告)日：2024-01-23

    申请号：US17074123

    申请日：2020-10-19

    Applicant: SHANGHAITECH UNIVERSITY

    Inventor： Minye Wu ,  Zhiru Shi ,  Jingyi Yu

    IPC: H04N5/225 ,  G06T5/50 ,  G06T7/593 ,  G06T7/557

    CPC classification number: G06T5/50 ,  G06T7/557 ,  G06T7/596 ,  G06T2200/21 ,  G06T2207/10052

    Abstract: A method of processing light field images for separating a transmitted layer from a reflection layer. The method comprises capturing a plurality of views at a plurality of viewpoints with different polarization angles; obtaining an initial disparity estimation for a first view using SIFT-flow, and warping the first view to a reference view; optimizing an objective function comprising a transmitted layer and a secondary layer using an Augmented Lagrange Multiplier (ALM) with Alternating Direction Minimizing (ADM) strategy; updating the disparity estimation for the first view; repeating the steps of optimizing the objective function and updating the disparity estimation until the change in the objective function between two consecutive iterations is below a threshold; and separating the transmitted layer and the secondary layer using the disparity estimation for the first view.

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