会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 11. 发明授权
    • Visual target tracking
    • 视觉目标跟踪
    • US08565476B2
    • 2013-10-22
    • US12632672
    • 2009-12-07
    • Ryan M. Geiss
    • Ryan M. Geiss
    • G06K9/00
    • A63F13/428A63F13/213A63F2300/1093A63F2300/8029G06K9/00201G06K9/00369G06T7/251G06T13/40G06T2207/10028G06T2207/30196
    • A target tracking method includes representing a human target with a machine-readable model configured for adjustment into a plurality of different poses. The machine-readable model includes a plurality of joints, including one or more magnetism joints, and each joint has a three-dimensional world space position. The method further includes receiving an observed depth image of the human target from a source. The observed depth image includes a plurality of observed pixels. A magnetism body part is assigned to one or more of the plurality of observed pixels, and a magnetism joint position is estimated based on world space positions of the one or more observed pixels assigned the magnetism body part. A joint of the machine-readable model is then shifted toward the magnetism joint position.
    • 目标跟踪方法包括用配置用于调整为多个不同姿势的机器可读模型来表示人类目标。 机器可读模型包括多个关节,包括一个或多个磁性关节,并且每个关节具有三维的世界空间位置。 该方法还包括从源接收观察到的人类目标的深度图像。 观察到的深度图像包括多个观察像素。 磁性体部分分配给多个观察像素中的一个或多个,并且基于分配了磁性体部分的一个或多个观察像素的世界空间位置来估计磁性关节位置。 然后将机器可读模型的关节朝向磁性关节位置移动。
    • 15. 发明授权
    • Multi-pass cylindrical cube map blur
    • 多遍圆柱形立方体地图模糊
    • US07825937B1
    • 2010-11-02
    • US11454253
    • 2006-06-16
    • Alexei SakhartchoukRyan M. Geiss
    • Alexei SakhartchoukRyan M. Geiss
    • G09G5/00G06T15/50
    • G06T15/506G06T15/503
    • One embodiment of the present invention sets forth an improved method for computing a cube map blur function. The method begins with a rendered cube map of the surrounding scene using conventional environment rendering techniques. The method then proceeds with three successive cylindrical blurs around each axis of a coordinate frame. The three blur operations accumulate results from each predecessor operation for the different pixels of the cube map, thereby generating a high quality cube map blur. One advantage of this technique is that a relatively low computational effort yields a blur function involving a relatively large number of source pixels for each resulting pixel. Therefore, the resulting cube map can be computed in real-time and is suitable for use in a wide range of lighting effects.
    • 本发明的一个实施例提出了一种用于计算立方体贴图模糊功能的改进方法。 该方法开始于使用常规环境渲染技术的周围场景的渲染多维数据集地图。 该方法然后围绕坐标系的每个轴线进行三个连续的圆柱形模糊。 三个模糊操作累积了对于立方体贴图的不同像素的每个前身操作的结果,从而生成高质量的立方映射模糊。 该技术的一个优点是相对低的计算量产生了涉及每个所得像素的相对大量的源像素的模糊函数。 因此,可以实时计算得到的立体图,并且适用于广泛的照明效果。
    • 19. 发明授权
    • Visual target tracking
    • 视觉目标跟踪
    • US08565477B2
    • 2013-10-22
    • US12632677
    • 2009-12-07
    • Ryan M. Geiss
    • Ryan M. Geiss
    • G06K9/00
    • A63F13/428A63F13/213A63F2300/1012A63F2300/1093A63F2300/6045A63F2300/8029G06K9/00201G06T7/251G06T2207/10016G06T2207/10028G06T2207/30196
    • A target tracking method includes representing a human target with a machine-readable model configured for adjustment into a plurality of different poses and receiving an observed depth image of the human target from a source. One or more push force vectors are applied to one or more force-receiving locations of the model to push the model in an XY plane towards a silhouette of the human target in the observed depth image when portions of the model are shifted away from the silhouette of the human target in the observed depth image. One or more pull force vectors are applied to one or more force-receiving locations of the model to pull the model in an XY plane towards the silhouette of the human target in the observed depth image when portions of the observed depth image are shifted away from the silhouette of the model.
    • 目标跟踪方法包括用机器可读模型来表示人类目标,所述机器可读模型被配置为调整为多个不同的姿态并且从源接收人类目标的观测深度图像。 一个或多个推力矢量被施加到模型的一个或多个力接收位置,以在模型的部分偏离轮廓时将模型推向XY平面中朝着观察到的深度图像中的人类目标的轮廓 的人类目标在观察的深度图像。 一个或多个拉力矢量被施加到模型的一个或多个力接收位置,以便在观察到的深度图像的部分被远离的时候将模型在XY平面中朝着观察到的深度图像中的人类目标的轮廓拉动 模型的轮廓。