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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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公开(公告)号:US20120177254A1
公开(公告)日:2012-07-12
申请号:US13410546
申请日:2012-03-02
申请人: Johnny Lee , Tommer Leyvand , Craig Peeper
发明人: Johnny Lee , Tommer Leyvand , Craig Peeper
IPC分类号: G06K9/00
CPC分类号: G06K9/00 , G06K9/00335 , G06T7/215 , G06T7/254 , G06T2207/10028
摘要: A sensor system creates a sequence of depth images that are used to detect and track motion of objects within range of the sensor system. A reference image is created and updated based on a moving average (or other function) of a set of depth images. A new depth images is compared to the reference image to create a motion image, which is an image file (or other data structure) with data representing motion. The new depth image is also used to update the reference image. The data in the motion image is grouped and associated with one or more objects being tracked. The tracking of the objects is updated by the grouped data in the motion image. The new positions of the objects are used to update an application.
摘要翻译: 传感器系统创建一系列深度图像,用于检测和跟踪传感器系统范围内物体的运动。 基于一组深度图像的移动平均(或其他功能)创建和更新参考图像。 将新的深度图像与参考图像进行比较以创建运动图像,其是具有表示运动的数据的图像文件(或其他数据结构)。 新的深度图像也用于更新参考图像。 运动图像中的数据被分组并与被跟踪的一个或多个对象相关联。 通过运动图像中的分组数据更新对象的跟踪。 对象的新位置用于更新应用程序。
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公开(公告)号:US20120057753A1
公开(公告)日:2012-03-08
申请号:US13289823
申请日:2011-11-04
IPC分类号: G06K9/00
CPC分类号: G06K9/00624 , G06F3/017 , G06K9/00362 , G06T7/251 , G06T7/579 , G06T15/00 , G06T2200/04 , G06T2207/10016 , G06T2207/10028 , G06T2207/30196 , H04N13/20
摘要: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A model may be adjusted based on a location or position of one or more extremities estimated or determined for a human target in the grid of voxels. The model may also be adjusted based on a default location or position of the model in a default pose such as a T-pose, a DaVinci pose, and/or a natural pose.
摘要翻译: 可以由设备接收,观察或捕获诸如场景的深度图像的图像。 然后可以基于深度图像生成体素的网格,使得可以对深度图像进行下采样。 可以基于在体素网格中为人类目标估计或确定的一个或多个末端的位置或位置来调整模型。 模型还可以基于默认位置或模型在诸如T姿势,达芬奇姿态和/或自然姿势之类的默认姿势中的位置来调整。
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公开(公告)号:US08587602B2
公开(公告)日:2013-11-19
申请号:US12857280
申请日:2010-08-16
IPC分类号: G09G5/00
CPC分类号: G06T15/04 , G06T2210/36
摘要: Systems and associated methods for processing textures in a graphical processing unit (GPU) are disclosed. Textures may be managed on a per region (e.g., tile) basis, which allows efficient use of texture memory. Moreover, very large textures may be used. Techniques provide for both texture streaming, as well as sparse textures. A GPU texture unit may be used to intelligently clamp LOD based on a shader specified value. The texture unit may provide feedback to the shader to allow the shader to react conditionally based on whether clamping was used, etc. Per region (e.g., per-tile) independent mipmap stacks may be used to allow very large textures.
摘要翻译: 公开了用于在图形处理单元(GPU)中处理纹理的系统和相关方法。 可以在每个区域(例如,瓦片)的基础上管理纹理,这允许纹理存储器的有效使用。 此外,可以使用非常大的纹理。 技术提供纹理流式传输以及稀疏纹理。 可以使用GPU纹理单元基于着色器指定值来智能地夹紧LOD。 纹理单元可以向着色器提供反馈以允许着色器基于是否使用夹紧等来有条件地进行反应。每个区域(例如,每个图块)独立的mipmap堆栈可以用于允许非常大的纹理。
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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:US20120038657A1
公开(公告)日:2012-02-16
申请号:US12857280
申请日:2010-08-16
IPC分类号: G09G5/00
CPC分类号: G06T15/04 , G06T2210/36
摘要: Systems and associated methods for processing textures in a graphical processing unit (GPU) are disclosed. Textures may be managed on a per region (e.g., tile) basis, which allows efficient use of texture memory. Moreover, very large textures may be used. Techniques provide for both texture streaming, as well as sparse textures. A GPU texture unit may be used to intelligently clamp LOD based on a shader specified value. The texture unit may provide feedback to the shader to allow the shader to react conditionally based on whether clamping was used, etc. Per region (e.g., per-tile) independent mipmap stacks may be used to allow very large textures.
摘要翻译: 公开了用于在图形处理单元(GPU)中处理纹理的系统和相关方法。 可以在每个区域(例如,瓦片)的基础上管理纹理,这允许纹理存储器的有效使用。 此外,可以使用非常大的纹理。 技术提供纹理流式传输以及稀疏纹理。 可以使用GPU纹理单元基于着色器指定值来智能地夹紧LOD。 纹理单元可以向着色器提供反馈以允许着色器基于是否使用夹紧等来有条件地进行反应。每个区域(例如,每个图块)独立的mipmap堆栈可以用于允许非常大的纹理。
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公开(公告)号:US20110234589A1
公开(公告)日:2011-09-29
申请号:US13156457
申请日:2011-06-09
IPC分类号: G06T17/00
CPC分类号: G06K9/00624 , G06F3/017 , G06K9/00362 , G06T7/251 , G06T7/579 , G06T15/00 , G06T2200/04 , G06T2207/10016 , G06T2207/10028 , G06T2207/30196 , H04N13/20
摘要: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A model may be adjusted based on a location or position of one or more extremities estimated or determined for a human target in the grid of voxels. The model may also be adjusted based on a default location or position of the model in a default pose such as a T-pose, a DaVinci pose, and/or a natural pose.
摘要翻译: 可以由设备接收,观察或捕获诸如场景的深度图像的图像。 然后可以基于深度图像生成体素的网格,使得可以对深度图像进行下采样。 可以基于在体素网格中为人类目标估计或确定的一个或多个末端的位置或位置来调整模型。 模型还可以基于默认位置或模型在诸如T姿势,达芬奇姿态和/或自然姿势之类的默认姿势中的位置来调整。
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公开(公告)号:US07961910B2
公开(公告)日:2011-06-14
申请号:US12621013
申请日:2009-11-18
IPC分类号: G06K9/00
CPC分类号: G06K9/00624 , G06F3/017 , G06K9/00362 , G06T7/251 , G06T7/579 , G06T15/00 , G06T2200/04 , G06T2207/10016 , G06T2207/10028 , G06T2207/30196 , H04N13/20
摘要: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A model may be adjusted based on a location or position of one or more extremities estimated or determined for a human target in the grid of voxels. The model may also be adjusted based on a default location or position of the model in a default pose such as a T-pose, a DaVinci pose, and/or a natural pose.
摘要翻译: 可以由设备接收,观察或捕获诸如场景的深度图像的图像。 然后可以基于深度图像生成体素的网格,使得可以对深度图像进行下采样。 可以基于在体素网格中为人类目标估计或确定的一个或多个末端的位置或位置来调整模型。 模型还可以基于默认位置或模型在诸如T姿势,达芬奇姿态和/或自然姿势之类的默认姿势中的位置来调整。
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公开(公告)号:US20110102438A1
公开(公告)日:2011-05-05
申请号:US12613105
申请日:2009-11-05
CPC分类号: A63F13/213 , A63F13/06 , A63F13/10 , A63F13/52 , A63F2300/1093 , A63F2300/6045 , G06F3/017 , G06K9/00201 , G06K9/40
摘要: An image such as a depth image of a scene may be received, observed, or captured by a device. The image may then be processed. For example, the image may be downsampled, a shadow, noise, and/or a missing potion in the image may be determined, pixels in the image that may be outside a range defined by a capture device associated with the image may be determined, a portion of the image associated with a floor may be detected. Additionally, a target in the image may be determined and scanned. A refined image may then be rendered based on the processed image. The refined image may then be processed to, for example, track a user.
摘要翻译: 可以由设备接收,观察或捕获诸如场景的深度图像的图像。 然后可以处理图像。 例如,可以对图像进行下采样,可以确定图像中的阴影,噪声和/或丢失药剂,可以确定可能在与图像相关联的捕获装置限定的范围之外的图像中的像素, 可以检测与楼层相关联的图像的一部分。 此外,可以确定并扫描图像中的目标。 然后可以基于处理的图像呈现精细图像。 然后可以处理精细图像以例如跟踪用户。
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