Method of generating three-dimensional (3D) volumetric data
    21.
    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。

    Method of learning a parameter to estimate posture of an articulated object and method of estimating posture of an articulated object
    22.
    发明授权
    Method of learning a parameter to estimate posture of an articulated object and method of estimating posture of an articulated object 有权
    学习用于估计关节物体的姿势的参数的方法和估计关节物体的姿势的方法

    公开(公告)号:US09460368B2

    公开(公告)日:2016-10-04

    申请号:US14523101

    申请日:2014-10-24

    CPC classification number: G06K9/6878 G06K9/00375

    Abstract: A method of learning a parameter to estimate a posture of an articulated object, and a method of estimating the posture of the articulated object are provided. A parameter used to estimate a posture of an articulated object may be iteratively learned based on a depth feature corresponding to an iteration count, and the posture of the articulated object may be estimated based on the learned parameter.

    Abstract translation: 提供了一种学习用于估计关节物体的姿势的参数的方法,以及估计铰接物体的姿势的方法。 可以基于与迭代计数相对应的深度特征迭代地学习用于估计铰接对象的姿势的参数,并且可以基于所学习的参数来估计关节对象的姿势。

    THREE-DIMENSIONAL DISPLAY DEVICE AND USER INTERFACING METHOD THEREFOR
    23.
    发明申请
    THREE-DIMENSIONAL DISPLAY DEVICE AND USER INTERFACING METHOD THEREFOR 审中-公开
    三维显示设备及其用户接口方法

    公开(公告)号:US20150293666A1

    公开(公告)日:2015-10-15

    申请号:US14439148

    申请日:2013-03-06

    CPC classification number: G06F3/04815 G06F3/0482 G06F3/04842 H04N13/30

    Abstract: A three-dimensional display device and a user interfacing method therefor are disclosed. The three-dimensional display device according to one embodiment comprises: a display unit for displaying a three-dimensional virtual object; a user input signal generation unit for generating a user input signal by detecting a handling object for handling an operation of the three-dimensional virtual object in a three-dimensional space matched with the three-dimensional virtual object; and a control unit for controlling the operation of the three-dimensional virtual object according to the user input signal.

    Abstract translation: 公开了一种三维显示装置及其用户接口方法。 根据一个实施例的三维显示装置包括:显示单元,用于显示三维虚拟对象; 用户输入信号生成单元,用于通过检测用于处理与三维虚拟对象匹配的三维空间中的三维虚拟对象的操作的处理对象来生成用户输入信号; 以及控制单元,用于根据用户输入信号控制三维虚拟对象的操作。

    Method of generating feature vector, generating histogram, and learning classifier for recognition of behavior
    29.
    发明授权
    Method of generating feature vector, generating histogram, and learning classifier for recognition of behavior 有权
    生成特征向量,生成直方图和学习分类器以识别行为的方法

    公开(公告)号:US09436890B2

    公开(公告)日:2016-09-06

    申请号:US14562948

    申请日:2014-12-08

    CPC classification number: G06K9/4642 G06K9/00335 G06K9/4604

    Abstract: Example embodiments disclose a method of generating a feature vector, a method of generating a histogram, a learning unit classifier, a recognition apparatus, and a detection apparatus, in which a feature point is detected from an input image based on a dominant direction analysis of a gradient distribution, and a feature vector corresponding to the detected feature point is generated.

    Abstract translation: 示例性实施例公开了一种生成特征向量的方法,生成直方图的方法,学习单元分类器,识别装置和检测装置,其中基于主导方向分析从输入图像检测特征点 生成与检测出的特征点对应的梯度分布和特征向量。

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