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21. 发明申请

US20100197391A1 VISUAL TARGET TRACKING 有权
标题翻译：视觉目标跟踪
公开(公告)号：US20100197391A1
公开(公告)日：2010-08-05
申请号：US12632645
申请日：2009-12-07
申请人： Ryan M. Geiss
发明人： Ryan M. Geiss
IPC分类号： A63F13/00 , A63F9/24
CPC分类号： G06T13/40 , A63F2300/1093 , A63F2300/6607 , A63F2300/8029 , G06K9/00369 , G06T7/251 , G06T2207/10028 , G06T2207/30196
摘要： A target tracking method includes representing a human target with a machine-readable model including a plurality of skeletal points. The plurality of skeletal points are adjustable into a plurality of different legal poses. The method further includes receiving an observed depth image of the human target from a source and determining proposed positions for one or more of the skeletal points of the machine-readable model based on the observed depth image. The proposed positions of the skeletal points are then adjusted to comply with one or more rules if one or more of the proposed positions violates any of the one or more rules.
摘要翻译：目标跟踪方法包括用包括多个骨架点的机器可读模型来表示人类目标。多个骨骼点可调整成多个不同的法定姿态。该方法还包括从源接收观察到的人类目标的深度图像，并且基于观察到的深度图像来确定机器可读模型的一个或多个骨架点的建议位置。然后如果所提出的一个或多个位置违反一个或多个规则中的任何一个，则调整骨架点的建议位置以符合一个或多个规则。

22. 发明授权

US08682028B2 Visual target tracking 有权
标题翻译：视觉目标跟踪
公开(公告)号：US08682028B2
公开(公告)日：2014-03-25
申请号：US12632645
申请日：2009-12-07
申请人： Ryan M. Geiss
发明人： Ryan M. Geiss
IPC分类号： G06K9/00
CPC分类号： G06T13/40 , A63F2300/1093 , A63F2300/6607 , A63F2300/8029 , G06K9/00369 , G06T7/251 , G06T2207/10028 , G06T2207/30196
摘要： A target tracking method includes representing a human target with a machine-readable model including a plurality of skeletal points. The plurality of skeletal points are adjustable into a plurality of different legal poses. The method further includes receiving an observed depth image of the human target from a source and determining proposed positions for one or more of the skeletal points of the machine-readable model based on the observed depth image. The proposed positions of the skeletal points are then adjusted to comply with one or more rules if one or more of the proposed positions violates any of the one or more rules.
摘要翻译：目标跟踪方法包括用包括多个骨架点的机器可读模型来表示人类目标。多个骨骼点可调整成多个不同的法定姿态。该方法还包括从源接收观察到的人类目标的深度图像，并且基于观察到的深度图像来确定机器可读模型的一个或多个骨架点的建议位置。然后如果所提出的一个或多个位置违反一个或多个规则中的任何一个，则调整骨架点的建议位置以符合一个或多个规则。

23. 发明授权

US08565476B2 Visual target tracking 有权
标题翻译：视觉目标跟踪
公开(公告)号：US08565476B2
公开(公告)日：2013-10-22
申请号：US12632672
申请日：2009-12-07
申请人： Ryan M. Geiss
发明人： Ryan M. Geiss
IPC分类号： G06K9/00
CPC分类号： A63F13/428 , A63F13/213 , A63F2300/1093 , A63F2300/8029 , G06K9/00201 , G06K9/00369 , G06T7/251 , G06T13/40 , G06T2207/10028 , G06T2207/30196
摘要： 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.
摘要翻译：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。

24. 发明申请

US20120163723A1 CLASSIFICATION OF POSTURE STATES 有权
标题翻译：心理状态分类
公开(公告)号：US20120163723A1
公开(公告)日：2012-06-28
申请号：US12979897
申请日：2010-12-28
申请人： Alexandru Balan , Matheen Siddiqui , Ryan M. Geiss , Alex Aben-Athar Kipman , Oliver Michael Christian Williams , Jamie Shotton
发明人： Alexandru Balan , Matheen Siddiqui , Ryan M. Geiss , Alex Aben-Athar Kipman , Oliver Michael Christian Williams , Jamie Shotton
IPC分类号： G06K9/62
CPC分类号： G06F3/011 , G06F3/017 , G06K9/00342 , G06K9/00369 , G06K9/00375
摘要： Systems and methods for estimating a posture of a body part of a user are disclosed. In one disclosed embodiment, an image is received from a sensor, where the image includes at least a portion of an image of the user including the body part. The skeleton information of the user is estimated from the image, a region of the image corresponding to the body part is identified at least partially based on the skeleton information, and a shape descriptor is extracted for the region and the shape descriptor is classified based on training data to estimate the posture of the body part.
摘要翻译：公开了用于估计用户的身体部位的姿势的系统和方法。在一个公开的实施例中，从传感器接收图像，其中图像包括包括身体部分的用户的图像的至少一部分。从图像估计用户的骨架信息，至少部分地基于骨骼信息来识别对应于身体部位的图像的区域，并且针对该区域提取形状描述符，并且基于训练数据来估计身体部位的姿势。

25. 发明授权

US07825937B1 Multi-pass cylindrical cube map blur 有权
标题翻译：多遍圆柱形立方体地图模糊
公开(公告)号：US07825937B1
公开(公告)日：2010-11-02
申请号：US11454253
申请日：2006-06-16
申请人： Alexei Sakhartchouk , Ryan M. Geiss
发明人： Alexei Sakhartchouk , Ryan M. Geiss
IPC分类号： G09G5/00 , G06T15/50
CPC分类号： G06T15/506 , G06T15/503
摘要： 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.
摘要翻译：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。

26. 发明申请

US20100197399A1 VISUAL TARGET TRACKING 有权
标题翻译：视觉目标跟踪
公开(公告)号：US20100197399A1
公开(公告)日：2010-08-05
申请号：US12363604
申请日：2009-01-30
申请人： Ryan M. Geiss
发明人： Ryan M. Geiss
IPC分类号： A63F13/00
CPC分类号： G06T7/2046 , A63F13/213 , A63F13/428 , A63F2300/1093 , A63F2300/6607 , G06T7/251 , G06T2207/10021 , G06T2207/10028 , G06T2207/30196
摘要： A method of tracking a target includes receiving an observed depth image of the target from a source and obtaining a posed model of the target. The model is rasterized into a synthesized depth image, and the pose of the model is adjusted based, at least in part, on differences between the observed depth image and the synthesized depth image.
摘要翻译：跟踪目标的方法包括从源接收目标的观测深度图像并获得目标的姿态模型。该模型被光栅化为合成深度图像，并且至少部分地基于观察到的深度图像和合成深度图像之间的差异来调整模型的姿态。

27. 发明授权

US08577084B2 Visual target tracking 有权
标题翻译：视觉目标跟踪
公开(公告)号：US08577084B2
公开(公告)日：2013-11-05
申请号：US12632587
申请日：2009-12-07
申请人： Ryan M. Geiss
发明人： Ryan M. Geiss
IPC分类号： G06K9/00
CPC分类号： G06K9/00369 , A63F2300/1093 , A63F2300/6607
摘要： A visual 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. The observed depth image is compared to the model. A refine-z force vector is then applied to one or more force-receiving locations of the model to move a portion of the model towards a corresponding portion of the observed depth image if that portion of the model is Z-shifted from that corresponding portion of the observed depth image.
摘要翻译：视觉目标跟踪方法包括使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察到的深度图像。将观察到的深度图像与模型进行比较。然后，将优化z力向量应用于模型的一个或多个力接收位置，以将模型的一部分朝向观察到的深度图像的对应部分移动，如果模型的该部分从该对应部分Z偏移的观察深度图像。

28. 发明授权

US08488888B2 Classification of posture states 有权
标题翻译：姿势状态分类
公开(公告)号：US08488888B2
公开(公告)日：2013-07-16
申请号：US12979897
申请日：2010-12-28
申请人： Alexandru Balan , Matheen Siddiqui , Ryan M. Geiss , Alex Aben-Athar Kipman , Oliver Michael Christian Williams , Jamie Shotton
发明人： Alexandru Balan , Matheen Siddiqui , Ryan M. Geiss , Alex Aben-Athar Kipman , Oliver Michael Christian Williams , Jamie Shotton
IPC分类号： G06K9/00 , G06K9/46 , H04N9/47
CPC分类号： G06F3/011 , G06F3/017 , G06K9/00342 , G06K9/00369 , G06K9/00375
摘要： Systems and methods for estimating a posture of a body part of a user are disclosed. In one disclosed embodiment, an image is received from a sensor, where the image includes at least a portion of an image of the user including the body part. The skeleton information of the user is estimated from the image, a region of the image corresponding to the body part is identified at least partially based on the skeleton information, and a shape descriptor is extracted for the region and the shape descriptor is classified based on training data to estimate the posture of the body part.
摘要翻译：公开了用于估计用户的身体部位的姿势的系统和方法。在一个公开的实施例中，从传感器接收图像，其中图像包括包括身体部分的用户的图像的至少一部分。从图像估计用户的骨架信息，至少部分地基于骨骼信息来识别对应于身体部位的图像的区域，并且针对该区域提取形状描述符，并且基于训练数据来估计身体部位的姿势。

29. 发明授权

US08267781B2 Visual target tracking 有权
标题翻译：视觉目标跟踪
公开(公告)号：US08267781B2
公开(公告)日：2012-09-18
申请号：US12363604
申请日：2009-01-30
申请人： Ryan M. Geiss
发明人： Ryan M. Geiss
IPC分类号： A63F13/00
CPC分类号： G06T7/2046 , A63F13/213 , A63F13/428 , A63F2300/1093 , A63F2300/6607 , G06T7/251 , G06T2207/10021 , G06T2207/10028 , G06T2207/30196
摘要： A method of tracking a target includes receiving an observed depth image of the target from a source and obtaining a posed model of the target. The model is rasterized into a synthesized depth image, and the pose of the model is adjusted based, at least in part, on differences between the observed depth image and the synthesized depth image.
摘要翻译：跟踪目标的方法包括从源接收目标的观测深度图像并获得目标的姿态模型。该模型被光栅化为合成深度图像，并且至少部分地基于观察到的深度图像和合成深度图像之间的差异来调整模型的姿态。

30. 发明授权

US07932914B1 Storing high dynamic range data in a low dynamic range format 有权
标题翻译：以低动态范围格式存储高动态范围数据
公开(公告)号：US07932914B1
公开(公告)日：2011-04-26
申请号：US11254385
申请日：2005-10-20
申请人： Ryan M. Geiss , Mehmet Cem Cebenoyan
发明人： Ryan M. Geiss , Mehmet Cem Cebenoyan
IPC分类号： G09G5/00
CPC分类号： G09G5/393 , G09G5/395 , G09G2340/02 , G09G2360/12
摘要： Systems and methods for storing high dynamic range image data in a low dynamic range format may be used to store the high dynamic range image data in less memory. The memory bandwidth needed to access the high dynamic range data is reduced and processing performance may be improved when performance is limited by memory bandwidth. The high dynamic range image data is scaled and compressed into a low dynamic range format for storage in a render target. If the compressed high dynamic range image data contains multiple data samples per pixel, the data may be processed to produce filtered compressed high dynamic range image data with only one sample per pixel. The high dynamic range image may be reconstructed from the low dynamic range format data and further processed as high dynamic range format data for a range of applications.
摘要翻译：用于以低动态范围格式存储高动态范围图像数据的系统和方法可用于在较少存储器中存储高动态范围图像数据。降低访问高动态范围数据所需的存储器带宽，并且当性能受到存储器带宽的限制时，可以提高处理性能。高动态范围图像数据被缩放并压缩成低动态范围格式以存储在渲染目标中。如果压缩的高动态范围图像数据包含每像素多个数据样本，则可以处理数据以产生仅具有每像素一个采样的滤波压缩的高动态范围图像数据。高动态范围图像可以从低动态范围格式数据重建，并且作为用于一系列应用的高动态范围格式数据被进一步处理。

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