DEVICE, SYSTEM AND METHOD FOR DISTRIBUTED PROCESSING USING A RENDERING PEER

    公开(公告)号:US20240356990A1

    公开(公告)日:2024-10-24

    申请号:US18619862

    申请日:2024-03-28

    Applicant: AMADEUS S.A.S.

    CPC classification number: H04L65/1069 G06T19/00 G06T2200/16 G06T2219/024

    Abstract: A device, system and method for distributed processing using a rendering peer is provided. A server establishes first and second communication links with two client devices, and generates scene rendering data for a multi-user virtual platform, the devices to process respective scene rendering data of the platform. The server determines that a second device has higher processing capability than a first device, selects the second device as a rendering peer for the first device, and establishes communication therebetween. The server transmits, via the second communication link, to the second device: command to control the second device to: generate, as the rendering peer, a first rendered scene from first scene rendering data, and transmit the first rendered scene to the first device; and generate a second rendered scene from second scene rendering data, the second rendered scene for providing at the second device.

    Point cloud annotation device, method, and program

    公开(公告)号:US12106438B2

    公开(公告)日:2024-10-01

    申请号:US17608735

    申请日:2019-05-08

    Abstract: Annotation can be easily performed on a three-dimensional point cloud and a working time can be reduced. An interface unit 22 displays a point cloud indicating a three-dimensional point on an object, and receives designation of a three-dimensional point indicating an annotation target object and designation of a three-dimensional point not indicating the annotation target object. A candidate cluster calculation unit 32 calculates a value of a predetermined evaluation function indicating a likelihood of a point cloud cluster being the annotation target object based on the designation of a three-dimensional point for point cloud clusters obtained by clustering the point clouds. A cluster selection and storage designation unit 34 causes the interface unit 22 to display the point cloud clusters in descending order of the value of the evaluation function, and receives a selection of a point cloud cluster to be annotated. An annotation execution unit 36 executes annotation indicating the annotation target object for each three-dimensional point included in the selected point cloud cluster.

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