Method of generating three-dimensional (3D) volumetric data
    34.
    发明授权
    Method of generating three-dimensional (3D) volumetric data 有权
    产生三维(3D)体积数据的方法

    公开(公告)号:US09489764B2

    公开(公告)日:2016-11-08

    申请号:US13858336

    申请日:2013-04-08

    CPC classification number: G06T15/08 G06T13/40

    Abstract: A method of generating three-dimensional (3D) volumetric data may be performed by generating a multilayer image, generating volume information and a type of a visible part of an object, based on the generated multilayer image, and generating volume information and a type of an invisible part of the object, based on the generated multilayer image. The volume information and the type of each of the visible part and invisible part may be generated based on the generated multilayered image which may be include at least one of a ray-casting-based multilayer image, a chroma key screen-based multilayer image, and a primitive template-based multilayer image.

    Abstract translation: 可以通过生成多层图像,基于生成的多层图像生成体信息和对象的可见部分的类型,并且生成体积信息和类型的多个图像,来生成三维(3D)体积数据的方法 基于生成的多层图像,对象的不可见部分。 可以基于所生成的多层图像来生成可见部分和不可见部分中的每一个的体积信息和类型,所述多层图像可以包括基于射线铸造的多层图像,基于色度键屏幕的多层图像, 和基于模板的原始多层图像。

    Device and method with object recognition

    公开(公告)号:US12167116B2

    公开(公告)日:2024-12-10

    申请号:US17958564

    申请日:2022-10-03

    Abstract: A device and method with object recognition is included. In one general aspect, an electronic device includes a camera sensor configured to capture a first image of a scene, the camera sensor is configured to perform at least one type of physical camera motion relative to the electronic device, the at least one type of physical camera motion includes rolling, panning, tilting, or zooming the camera sensor relative to the electronic device, and a processor configured to control the camera sensor to perform a physical motion of the physical camera motion type based on detecting an object in the first image, acquire a second image captured using the camera sensor as adjusted based on the performed physical motion, and recognize the object in the second image.

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