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公开(公告)号：US08467574B2
公开(公告)日：2013-06-18
申请号：US12914401
申请日：2010-10-28
CPC分类号： G06K9/00335 , G06F3/011 , G06F3/017 , G06K9/00201 , G06K9/00362 , G06K9/00369 , G06T15/005 , G06T2207/10028
摘要： A depth image of a scene may be received, observed, or captured by a device. The depth image may then be analyzed to determine whether the depth image includes a human target. For example, the depth image may include one or more targets including a human target and non-human targets. Each of the targets may be flood filled and compared to a pattern to determine whether the target may be a human target. If one or more of the targets in the depth image includes a human target, the human target may be scanned. A skeletal model of the human target may then be generated based on the scan.
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公开(公告)号：US08457396B2
公开(公告)日：2013-06-04
申请号：US12539387
申请日：2009-08-11
申请人： Zsolt Mathe
发明人： Zsolt Mathe
CPC分类号： G06T9/00 , H04N19/124 , H04N19/186 , H04N19/61 , H04N19/85 , H04N19/91
摘要： A method of compressing a digital image defined by a plurality of pixel values in each of one or more channels includes adjusting each pixel value in each of the one or more channels by an average pixel value for that channel. The method further includes splitting each adjusted channel into one or more image blocks, and converting each image block into a frequency block that is a frequency-domain representation of that image block.
摘要翻译： 一种压缩由一个或多个通道中的每一个中的多个像素值定义的数字图像的方法包括将该一个或多个通道中的每一个中的每个像素值调整该通道的平均像素值。 该方法还包括将每个经调整的频道分割为一个或多个图像块，并将每个图像块转换为作为该图像块的频域表示的频率块。
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公开(公告)号：US20130077820A1
公开(公告)日：2013-03-28
申请号：US13245640
申请日：2011-09-26
IPC分类号： G06K9/62
CPC分类号： G06K9/6257 , G06K9/00335
摘要： A virtual skeleton includes a plurality of joints and provides a machine readable representation of a human subject observed with a sensor such as a depth camera. A gesture detection module is trained via machine learning to identify one or more features of a virtual skeleton and indicate if the feature(s) collectively indicate a particular gesture.
摘要翻译： 虚拟骨架包括多个关节，并提供用诸如深度相机的传感器观察到的人类受试者的机器可读表示。 手势检测模块通过机器学习进行训练，以识别虚拟骨架的一个或多个特征，并指示该特征是否集体表示特定手势。
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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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公开(公告)号：US08988432B2
公开(公告)日：2015-03-24
申请号：US12613105
申请日：2009-11-05
IPC分类号： G06T11/00 , G06T11/40 , G06T15/30 , G06T7/00 , G06F3/01 , A63F13/20 , A63F13/40 , G06K9/00 , G06K9/40
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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公开(公告)号：US20120163669A1
公开(公告)日：2012-06-28
申请号：US13413531
申请日：2012-03-06
IPC分类号： G06K9/00
CPC分类号： G06T7/0042 , G06K9/00201 , G06K9/00369 , G06K9/36 , G06K9/46 , G06T7/73 , H04N5/23219
摘要： A depth image of a scene may be received, observed, or captured by a device. A human target in the depth image may then be scanned for one or more body parts such as shoulders, hips, knees, or the like. A tilt angle may then be calculated based on the body parts. For example, a first portion of pixels associated with an upper body part such as the shoulders and a second portion of pixels associated with a lower body part such as a midpoint between the hips and knees may be selected. The tilt angle may then be calculated using the first and second portions of pixels.
摘要翻译： 场景的深度图像可以被设备接收，观察或捕获。 然后可以对深度图像中的人类目标进行一个或多个身体部位的扫描，例如肩部，臀部，膝盖等。 然后可以基于身体部位来计算倾斜角度。 例如，可以选择与诸如肩部的上身部分相关联的像素的第一部分和与诸如臀部和膝盖之间的中点的下身部分相关联的像素的第二部分。 然后可以使用像素的第一和第二部分来计算倾斜角度。
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公开(公告)号：US08013862B2
公开(公告)日：2011-09-06
申请号：US11941337
申请日：2007-11-16
申请人： Zsolt Mathe
发明人： Zsolt Mathe
IPC分类号： G09G5/00
CPC分类号： H04N19/186 , H04N19/117 , H04N19/119 , H04N19/14 , H04N19/176
摘要： Techniques for pre-processing image blocks containing texture are disclosed herein which reduce memory requirements without degradation of quality. This is accomplished by determining the level of texture in each pixel block of the image and then performing a compression algorithm on such pixel block. Various methods are available to determine the texture level, including identifying the luminescence variation or difference within the pixel block. Depending on the amount of texture level contained within each pixel block, pre-processing may involve assigning the pixel block a single color or replacing the pixel block with an interpolated pixel block. Pre-processing on the pixel block may not be performed when the texture level therein is determined to be at a predetermined amount or level. Additional techniques are also disclosed herein which involve full processing of an image block.
摘要翻译： 本文公开了用于预处理包含纹理的图像块的技术，其中减少了存储器需求而不降低质量。 这是通过确定图像的每个像素块中的纹理水平，然后在这样的像素块上执行压缩算法来实现的。 可以使用各种方法来确定纹理水平，包括识别像素块内的发光变化或差异。 根据包含在每个像素块内的纹理水平的量，预处理可以包括将像素块分配给单一颜色或者用内插像素块替换像素块。 当其中的纹理水平被确定为预定量或水平时，可能不执行对像素块的预处理。 本文还公开了涉及图像块的完全处理的附加技术。
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公开(公告)号：US07974443B2
公开(公告)日：2011-07-05
申请号：US12953069
申请日：2010-11-23
申请人： Alex Kipman , Mark Finocchio , Ryan M. Geiss , Johnny Chung Lee , Charles Claudius Marais , Zsolt Mathe
发明人： Alex Kipman , Mark Finocchio , Ryan M. Geiss , Johnny Chung Lee , Charles Claudius Marais , Zsolt Mathe
IPC分类号： G06K9/00
CPC分类号： G06K9/00362 , A63F13/10 , A63F13/213 , A63F13/428 , A63F2300/1012 , A63F2300/1093 , A63F2300/6045 , G06F3/01 , G06K9/00369 , G06K9/32 , G06T7/251 , G06T7/285 , G06T2207/10016 , 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 analyzing the observed depth image with a prior-trained collection of known poses to find an exemplar pose that represents an observed pose of the target. The method further includes rasterizing a model of the target into a synthesized depth image having a rasterized pose and adjusting the rasterized pose of the model into a model-fitting pose based, at least in part, on differences between the observed depth image and the synthesized depth image. Either the exemplar pose or the model-fitting pose is then selected to represent the target.
摘要翻译： 跟踪目标的方法包括从源接收观察到的目标深度图像并且利用已知姿势的先前训练集合来分析所观察的深度图像，以找到表示目标观察姿势的示范姿态。 该方法还包括将目标的模型光栅化成具有光栅化姿态的合成深度图像，并且至少部分地基于观察到的深度图像和合成的图像之间的差异将模型的光栅化姿态调整为模型拟合姿势 深度图像。 然后选择示范姿势或模型拟合姿势来表示目标。
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公开(公告)号：US20100302395A1
公开(公告)日：2010-12-02
申请号：US12475094
申请日：2009-05-29
CPC分类号： A63F13/213 , A63F13/10 , A63F13/428 , A63F2300/1087 , A63F2300/6045 , G06K9/00342 , G06K9/00577 , G06K9/34 , G06T7/11 , G06T2207/10028 , G06T2207/30196
摘要： A depth image of a scene may be observed or captured by a capture device. The depth image may include a human target and an environment. One or more pixels of the depth image may be analyzed to determine whether the pixels in the depth image are associated with the environment of the depth image. The one or more pixels associated with the environment may then be discarded to isolate the human target and the depth image with the isolated human target may be processed.
摘要翻译： 拍摄装置可以观察或拍摄场景的深度图像。 深度图像可以包括人类目标和环境。 可以分析深度图像的一个或多个像素，以确定深度图像中的像素是否与深度图像的环境相关联。 然后可以丢弃与环境相关联的一个或多个像素以隔离人类目标，并且可以处理具有孤立的人类目标的深度图像。
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公开(公告)号：US08866889B2
公开(公告)日：2014-10-21
申请号：US12939038
申请日：2010-11-03
申请人： Prafulla J. Masalkar , Szymon P. Stachniak , Tommer Leyvand , Zhengyou Zhang , Leonardo Del Castillo , Zsolt Mathe
发明人： Prafulla J. Masalkar , Szymon P. Stachniak , Tommer Leyvand , Zhengyou Zhang , Leonardo Del Castillo , Zsolt Mathe
CPC分类号： H04N13/327 , A63F13/213 , A63F13/22 , G06F3/017 , G06T7/80 , G06T2207/10021 , G06T2207/10028 , G06T2207/30196 , H04N13/128 , H04N13/271
摘要： A system and method are disclosed for calibrating a depth camera in a natural user interface. The system in general obtains an objective measurement of true distance between a capture device and one or more objects in a scene. The system then compares the true depth measurement to the depth measurement provided by the depth camera at one or more points and determines an error function describing an error in the depth camera measurement. The depth camera may then be recalibrated to correct for the error. The objective measurement of distance to one or more objects in a scene may be accomplished by a variety of systems and methods.
摘要翻译： 公开了用于在自然界面中校准深度相机的系统和方法。 该系统通常获得捕获装置与场景中的一个或多个物体之间的真实距离的客观测量。 然后，系统将真实深度测量与深度相机在一个或多个点提供的深度测量值进行比较，并确定描述深度相机测量中的误差的误差函数。 然后可以重新校准深度相机以校正错误。 可以通过各种系统和方法来实现对场景中的一个或多个对象的距离的客观测量。
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