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公开(公告)号：US08508543B2
公开(公告)日：2013-08-13
申请号：US12141094
申请日：2008-06-18
申请人： Yan Lu , John Tardif , Matt Bronder , Huifeng Shen , Feng Wu , Shipeng Li
发明人： Yan Lu , John Tardif , Matt Bronder , Huifeng Shen , Feng Wu , Shipeng Li
摘要： Various technologies for a layered texture compression architecture. In one implementation, the layered texture compression architecture may include a texture consumption pipeline. The texture compression pipeline may include a processor, memory devices, and textures compressed at varying ratios of compression. The textures within the pipeline may be compressed at ratios in accordance with characteristics of the devices in the pipeline that contains and processes the textures.
摘要翻译： 各种技术用于分层纹理压缩架构。 在一个实现中，分层纹理压缩架构可以包括纹理消耗流水线。 纹理压缩管线可以包括以不同的压缩比压缩的处理器，存储器件和纹理。 可以根据流水线中包含和处理纹理的设备的特性，以比例压缩流水线内的纹理。
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公开(公告)号：US20090315905A1
公开(公告)日：2009-12-24
申请号：US12141094
申请日：2008-06-18
申请人： Yan Lu , John Tardif , Matt Bronder , Huifeng Shen , Feng Wu , Shipeng Li
发明人： Yan Lu , John Tardif , Matt Bronder , Huifeng Shen , Feng Wu , Shipeng Li
IPC分类号： G06T9/00
摘要： Various technologies for a layered texture compression architecture. In one implementation, the layered texture compression architecture may include a texture consumption pipeline. The texture compression pipeline may include a processor, memory devices, and textures compressed at varying ratios of compression. The textures within the pipeline may be compressed at ratios in accordance with characteristics of the devices in the pipeline that contains and processes the textures.
摘要翻译： 各种技术用于分层纹理压缩架构。 在一个实现中，分层纹理压缩架构可以包括纹理消耗流水线。 纹理压缩管线可以包括以不同的压缩比压缩的处理器，存储器件和纹理。 可以根据流水线中包含和处理纹理的设备的特性，以比例压缩流水线内的纹理。
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公开(公告)号：US08565485B2
公开(公告)日：2013-10-22
申请号：US13615269
申请日：2012-09-13
申请人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momin M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
发明人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momin M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
CPC分类号： G06K9/00335 , A63F13/428 , A63F2300/1006 , A63F2300/1093 , G06F3/011 , G06F3/033 , G06K9/00369 , G06T17/10 , G06T19/00
摘要： A method of tracking a target includes receiving from a source a depth image of a scene including the human subject. The depth image includes a depth for each of a plurality of pixels. The method further includes identifying pixels of the depth image that belong to the human subject and deriving from the identified pixels of the depth image one or more machine readable data structures representing the human subject as a body model including a plurality of shapes.
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公开(公告)号：US20130028476A1
公开(公告)日：2013-01-31
申请号：US13615269
申请日：2012-09-13
申请人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momim M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
发明人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momim M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
IPC分类号： G06K9/62
CPC分类号： G06K9/00335 , A63F13/428 , A63F2300/1006 , A63F2300/1093 , G06F3/011 , G06F3/033 , G06K9/00369 , G06T17/10 , G06T19/00
摘要： A method of tracking a target includes receiving from a source a depth image of a scene including the human subject. The depth image includes a depth for each of a plurality of pixels. The method further includes identifying pixels of the depth image that belong to the human subject and deriving from the identified pixels of the depth image one or more machine readable data structures representing the human subject as a body model including a plurality of shapes.
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公开(公告)号：US20120157207A1
公开(公告)日：2012-06-21
申请号：US13408775
申请日：2012-02-29
申请人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momin M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
发明人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momin M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
IPC分类号： A63F9/24
CPC分类号： G06K9/00335 , A63F13/428 , A63F2300/1006 , A63F2300/1093 , G06F3/011 , G06F3/033 , G06K9/00369 , G06T17/10 , G06T19/00
摘要： A method of tracking a target includes receiving from a source a depth image of a scene including the human subject. The depth image includes a depth for each of a plurality of pixels. The method further includes identifying pixels of the depth image that belong to the human subject and deriving from the identified pixels of the depth image one or more machine readable data structures representing the human subject as a body model including a plurality of shapes.
摘要翻译： 跟踪目标的方法包括从源头接收包括人类对象的场景的深度图像。 深度图像包括用于多个像素中的每一个的深度。 该方法还包括识别属于人类对象的深度图像的像素，并且从所识别的深度图像的像素中导出表示人类对象的一个或多个机器可读数据结构作为包括多个形状的体模型。
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公开(公告)号：US20100197390A1
公开(公告)日：2010-08-05
申请号：US12603437
申请日：2009-10-21
申请人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momim M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
发明人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momim M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
IPC分类号： A63F13/00
CPC分类号： G06K9/00335 , A63F13/428 , A63F2300/1006 , A63F2300/1093 , G06F3/011 , G06F3/033 , G06K9/00369 , G06T17/10 , G06T19/00
摘要： A method of tracking a target includes receiving from a source an observed depth image of a scene including the target. Each pixel of the observed depth image is labeled as either a foreground pixel belonging to the target or a background pixel not belonging to the target. Each foreground pixel is labeled with body part information indicating a likelihood that that foreground pixel belongs to one or more body parts of the target. The target is modeled with a skeleton including a plurality of skeletal points, each skeletal point including a three dimensional position derived from body part information of one or more foreground pixels.
摘要翻译： 跟踪目标的方法包括从源接收包括目标的场景的观测深度图像。 观察到的深度图像的每个像素被标记为属于目标的前景像素或不属于目标的背景像素。 每个前景像素用身体部分信息标记，指示该前景像素属于目标的一个或多个身体部位的可能性。 目标用包括多个骨骼点的骨架建模，每个骨骼点包括从一个或多个前景像素的身体部位信息导出的三维位置。
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公开(公告)号：US08553939B2
公开(公告)日：2013-10-08
申请号：US13408775
申请日：2012-02-29
申请人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momin M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
发明人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momin M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
CPC分类号： G06K9/00335 , A63F13/428 , A63F2300/1006 , A63F2300/1093 , G06F3/011 , G06F3/033 , G06K9/00369 , G06T17/10 , G06T19/00
摘要： A method of tracking a target includes receiving from a source a depth image of a scene including the human subject. The depth image includes a depth for each of a plurality of pixels. The method further includes identifying pixels of the depth image that belong to the human subject and deriving from the identified pixels of the depth image one or more machine readable data structures representing the human subject as a body model including a plurality of shapes.
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公开(公告)号：US08295546B2
公开(公告)日：2012-10-23
申请号：US12603437
申请日：2009-10-21
申请人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momin M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
发明人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momin M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
CPC分类号： G06K9/00335 , A63F13/428 , A63F2300/1006 , A63F2300/1093 , G06F3/011 , G06F3/033 , G06K9/00369 , G06T17/10 , G06T19/00
摘要： A method of tracking a target includes receiving from a source an observed depth image of a scene including the target. Each pixel of the observed depth image is labeled as either a foreground pixel belonging to the target or a background pixel not belonging to the target. Each foreground pixel is labeled with body part information indicating a likelihood that that foreground pixel belongs to one or more body parts of the target. The target is modeled with a skeleton including a plurality of skeletal points, each skeletal point including a three dimensional position derived from body part information of one or more foreground pixels.
摘要翻译： 跟踪目标的方法包括从源接收包括目标的场景的观测深度图像。 观察到的深度图像的每个像素被标记为属于目标的前景像素或不属于目标的背景像素。 每个前景像素用身体部分信息标记，指示该前景像素属于目标的一个或多个身体部位的可能性。 目标用包括多个骨骼点的骨架建模，每个骨骼点包括从一个或多个前景像素的身体部位信息导出的三维位置。
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