OBJECT CREATION USING BODY GESTURES
    1.
    发明申请
    OBJECT CREATION USING BODY GESTURES 审中-公开
    使用身体的对象创作

    公开(公告)号:WO2014131197A1

    公开(公告)日:2014-09-04

    申请号:PCT/CN2013/072067

    申请日:2013-03-01

    Abstract: An intuitive interface may allow users of a computing device (e.g., children, etc.) to create imaginary three dimensional (3D) objects of any shape using body gestures performed by the users as a primary or only input. A user may make motions while in front of an imaging device that senses movement of the user. The interface may allow first-person and/or third person interaction during creation of objects, which may map a body of a user to a body of an object presented by a display. In an example process, the user may start by scanning an arbitrary body gesture into an initial shape of an object. Next, the user may perform various gestures using his body, which may result in various edits to the object. After the object is completed, the object may be animated, possibly based on movements of the user.

    Abstract translation: 直观界面可允许计算设备(例如,儿童等)的用户使用由用户执行的身体手势作为主要或仅输入来创建任何形状的假想三维(3D)对象。 用户可以在感测用户的移动的成像装置的前面进行运动。 接口可以允许在创建对象期间的第一人和/或第三人交互,这可以将用户的身体映射到由显示器呈现的对象的主体。 在示例过程中,用户可以通过将任意身体手势扫描成对象的初始形状来开始。 接下来,用户可以使用他的身体执行各种手势,这可能导致对对象的各种编辑。 在对象完成之后,可以基于用户的移动来对对象进行动画化。

    AVATAR CONSTRUCTION USING DEPTH CAMERA
    2.
    发明申请
    AVATAR CONSTRUCTION USING DEPTH CAMERA 审中-公开
    使用深度摄像机的AVATAR建筑

    公开(公告)号:WO2013189058A1

    公开(公告)日:2013-12-27

    申请号:PCT/CN2012/077303

    申请日:2012-06-21

    Abstract: A method for constructing an avatar of a human subject includes acquiring a depth map of the subject, obtaining a virtual skeleton of the subject based on the depth map, and harvesting from the virtual skeleton a set of characteristic metrics. Such metrics correspond to distances between predetermined points of the virtual skeleton. In this example method, the characteristic metrics are provided as input to an algorithm trained using machine learning. The algorithm may be trained using a human model in a range of poses, and a range of human models in a single pose, to output a virtual body mesh as a function of the characteristic metrics. The method also includes constructing a virtual head mesh distinct from the virtual body mesh, with facial features resembling those of the subject, and connecting the virtual body mesh to the virtual head mesh.

    Abstract translation: 用于构建人类对象的化身的方法包括获取对象的深度图,基于深度图获取对象的虚拟骨架,以及从虚拟骨架获取一组特征度量。 这样的度量对应于虚拟骨架的预定点之间的距离。 在该示例方法中,特征度量被提供作为使用机器学习训练的算法的输入。 可以使用在一系列姿势中的人类模型和单个姿态中的人类模型的范围来训练算法,以根据特征度量输出虚拟身体网格。 该方法还包括构建与虚拟身体网格不同的虚拟头部网格,以及类似于对象的面部特征,以及将虚拟身体网格物体连接到虚拟头部网格物体。

    SINGLE-PASS BOUNDING BOX CALCULATION
    3.
    发明申请

    公开(公告)号:WO2010088029A3

    公开(公告)日:2010-08-05

    申请号:PCT/US2010/020782

    申请日:2010-01-12

    Abstract: Embodiments for single-pass bounding box calculation are disclosed. In accordance with one embodiment, the single-pass bounding box calculation includes rendering a first target to a 2-dimensional screen space, whereby the first target includes at least six pixels. The calculation further includes producing transformed vertices in a set of geometry primitives based on an application-specified transformation. The calculation also includes generating six new points for each transformed vertex in the set of geometry primitives. The calculation additionally includes producing an initial third coordinate value for each pixel by rendering the at least six new points generate for each pixel to each corresponding pixel. The calculation further includes producing a post-rasterization value for each pixel by rasterizing the at least six new points rendered to each pixel with each corresponding pixel. Finally, the calculation includes computing bounding box information for the set of geometry primitives based on the produced third coordinate values.

    GENERATION OF A THREE-DIMENSIONAL REPRESENTATION OF A USER
    4.
    发明申请
    GENERATION OF A THREE-DIMENSIONAL REPRESENTATION OF A USER 审中-公开
    用户的三维表示的生成

    公开(公告)号:WO2014093706A1

    公开(公告)日:2014-06-19

    申请号:PCT/US2013/074807

    申请日:2013-12-12

    CPC classification number: G06T17/00

    Abstract: Described herein are technologies pertaining to generating a relatively accurate virtual three-dimensional model of a head/face of a user. Depth frames are received from a depth sensor and color frames are received from a camera, wherein such frames capture a head of a user. Based upon the depth frames and the color frames, the three-dimensional model of the head of the user is generated.

    Abstract translation: 这里描述的是关于生成用户的头/面的相对精确的虚拟三维模型的技术。 从深度传感器接收深度帧,并且从相机接收彩色帧,其中这样的帧捕获用户的头部。 基于深度帧和彩色帧,生成用户头部的三维模型。

    HIGH RESOLUTION MULTISPECTRAL IMAGE CAPTURE
    5.
    发明申请
    HIGH RESOLUTION MULTISPECTRAL IMAGE CAPTURE 审中-公开
    高分辨率多分辨率图像捕获

    公开(公告)号:WO2012171185A1

    公开(公告)日:2012-12-20

    申请号:PCT/CN2011/075756

    申请日:2011-06-15

    Abstract: The use of a hybrid camera tool may capture high resolution multispectral images without sacrificing resolution in exchange for spectral accuracy. The capture of a high resolution multispectral image may include forming a high spatial resolution image based on a portion of incoming light and generating a high spectral resolution image that includes multispectral samples based on another portion of the incoming light. The high resolution multispectral image is then synthesized by consolidating the high spatial resolution image with the high spectral resolution image.

    Abstract translation: 使用混合相机工具可以捕获高分辨率多光谱图像而不牺牲分辨率以换取光谱精度。 高分辨率多光谱图像的捕获可以包括基于入射光的一部分形成高空间分辨率图像,并且基于入射光的另一部分生成包括多光谱样本的高光谱分辨率图像。 然后通过将高空间分辨率图像与高光谱分辨率图像合并来合成高分辨率多光谱图像。

    HIGH RESOLUTION MULTISPECTRAL IMAGE CAPTURE
    6.
    发明公开
    HIGH RESOLUTION MULTISPECTRAL IMAGE CAPTURE 有权
    高分辨率多光谱图像捕获

    公开(公告)号:EP2721828A1

    公开(公告)日:2014-04-23

    申请号:EP11867775.6

    申请日:2011-06-15

    Abstract: The use of a hybrid camera tool may capture high resolution multispectral images without sacrificing resolution in exchange for spectral accuracy. The capture of a high resolution multispectral image may include forming a high spatial resolution image based on a portion of incoming light and generating a high spectral resolution image that includes multispectral samples based on another portion of the incoming light. The high resolution multispectral image is then synthesized by consolidating the high spatial resolution image with the high spectral resolution image.

    Abstract translation: 混合相机工具的使用可以捕获高分辨率多光谱图像而不牺牲分辨率来交换光谱精度。 高分辨率多光谱图像的捕获可以包括基于入射光的一部分来形成高空间分辨率图像并且基于入射光的另一部分来生成包括多光谱样本的高光谱分辨率图像。 然后通过将高空间分辨率图像与高光谱分辨率图像合并来合成高分辨率多光谱图像。

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