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81. 发明申请

US20100266210A1 Predictive Determination 有权
标题翻译：预测性测定
公开(公告)号：US20100266210A1
公开(公告)日：2010-10-21
申请号：US12828108
申请日：2010-06-30
申请人： Relja Markovic , Gregory N. Snook , Justin McBride
发明人： Relja Markovic , Gregory N. Snook , Justin McBride
IPC分类号： G06K9/46 , G06F3/033
CPC分类号： G06F3/017 , H04N7/18
摘要： Systems, methods and computer readable media are disclosed for a gesture recognizer system architecture. A recognizer engine is provided, which receives user motion data and provides that data to a plurality of filters. A filter corresponds to a gesture, that may then be tuned by an application receiving information from the gesture recognizer so that the specific parameters of the gesture—such as an arm acceleration for a throwing gesture—may be set on a per-application level, or multiple times within a single application. Each filter may output to an application using it a confidence level that the corresponding gesture occurred, as well as further details about the user motion data.
摘要翻译：公开了用于手势识别器系统架构的系统，方法和计算机可读介质。提供识别引擎，其接收用户运动数据并将该数据提供给多个滤波器。过滤器对应于手势，然后可以通过应用从手势识别器接收信息进行调整，使得手势的特定参数（例如用于投掷手势的手臂加速度）可以在每个应用程序级设置，或在单个应用程序中多次。每个滤波器可以使用它来输出相应手势发生的置信水平的应用，以及关于用户运动数据的进一步细节。

82. 发明申请

US20080001952A1 Fast reconfiguration of graphics pipeline state 有权
标题翻译：快速重新配置图形管线状态
公开(公告)号：US20080001952A1
公开(公告)日：2008-01-03
申请号：US11477272
申请日：2006-06-28
申请人： Ramanujan Srinivasan , Relja Markovic , Samuel Glassenberg
发明人： Ramanujan Srinivasan , Relja Markovic , Samuel Glassenberg
IPC分类号： G06F15/16
CPC分类号： G06T1/20
摘要： Techniques and technologies are provided for binding resources to particular slots associated with shaders in a graphics pipeline. Resource dependencies between resources being utilized by each shader can be determined, and, based on these resource dependencies, common resource/slot associations can be computed. Each common resource/slot association identifies a particular one of the resources to be associated with a particular one of the slots.
摘要翻译：提供技术和技术用于将资源绑定到与图形管线中的着色器相关联的特定时隙。可以确定每个着色器使用的资源之间的资源依赖性，并且基于这些资源依赖性，可以计算公共资源/时隙关联。每个公共资源/时隙关联标识要与特定一个时隙相关联的特定资源。

83. 发明授权

US09208571B2 Object digitization 有权
标题翻译：对象数字化
公开(公告)号：US09208571B2
公开(公告)日：2015-12-08
申请号：US13410907
申请日：2012-03-02
申请人： Jeffrey Jesus Evertt , Justin Avram Clark , Christopher Harley Willoughby , Mike Scavezze , Joel Deaguero , Relja Markovic , Joe Sola , David Haley
发明人： Jeffrey Jesus Evertt , Justin Avram Clark , Christopher Harley Willoughby , Mike Scavezze , Joel Deaguero , Relja Markovic , Joe Sola , David Haley
IPC分类号： H04N13/02 , G06T15/00 , G06T7/00 , H04N5/222 , G06T19/20
CPC分类号： G06T7/12 , A63F13/213 , A63F13/53 , A63F2300/1093 , A63F2300/6018 , G06T7/50 , G06T7/70 , G06T15/08 , G06T19/20 , G06T2200/08 , G06T2207/10004 , G06T2207/10028 , G06T2219/2012 , H04N5/2226 , H04N13/257 , H04N13/268 , H04N13/271
摘要： Digitizing objects in a picture is discussed herein. A user presents the object to a camera, which captures the image comprising color and depth data for the front and back of the object. For both front and back images, the closest point to the camera is determined by analyzing the depth data. From the closest points, edges of the object are found by noting large differences in depth data. The depth data is also used to construct point cloud constructions of the front and back of the object. Various techniques are applied to extrapolate edges, remove seams, extend color intelligently, filter noise, apply skeletal structure to the object, and optimize the digitization further. Eventually, a digital representation is presented to the user and potentially used in different applications (e.g., games, Web, etc.).
摘要翻译：本文讨论了图像中的数字化对象。用户将对象呈现给摄像机，该摄像机捕获包括对象前后的颜色和深度数据的图像。对于前后图像，通过分析深度数据来确定最靠近相机的点。从最接近的点，通过注意深度数据的大差异来发现对象的边缘。深度数据也用于构建对象前后的点云结构。应用各种技术来推断边缘，去除接缝，智能扩展颜色，过滤噪声，将骨架结构应用于对象，并进一步优化数字化。最终，将数字表示呈现给用户并潜在地用于不同的应用（例如游戏，网络等）中。

84. 发明授权

US09025832B2 Automated sensor driven friending 有权
标题翻译：自动传感器驱动
公开(公告)号：US09025832B2
公开(公告)日：2015-05-05
申请号：US13151112
申请日：2011-06-01
申请人： Stephen Latta , Relja Markovic , Kevin Geisner , A. Dylan Vance , Brian Scott Murphy , Matt Coohill
发明人： Stephen Latta , Relja Markovic , Kevin Geisner , A. Dylan Vance , Brian Scott Murphy , Matt Coohill
IPC分类号： G06K9/00 , G06Q10/10 , A63F13/30 , A63F13/795 , G06Q50/00
CPC分类号： G06Q10/10 , A63F13/12 , A63F13/795 , G06Q50/01
摘要： A method of finding a new social network service friend for a player belonging to a social network service and having a friend group including one or more player-accepted friends includes recognizing the player, automatically identifying an observer within a threshold proximity to the player, and adding the observer to the friend group of the player in the social network service if the observer satisfies a friending criteria of the player.
摘要翻译：一种为属于社交网络服务的玩家找到新的社交网络服务朋友并具有包括一个或多个玩家接受的朋友的朋友组的方法包括：识别玩家，自动识别与玩家接近的门槛内的观众;以及如果观察者满足玩家的满足标准，则将观察者添加到社交网络服务中的玩家的朋友组。

85. 发明授权

US08994718B2 Skeletal control of three-dimensional virtual world 有权
标题翻译：三维虚拟世界的骨骼控制
公开(公告)号：US08994718B2
公开(公告)日：2015-03-31
申请号：US12975086
申请日：2010-12-21
申请人： Stephen Latta , Darren Bennett , Kevin Geisner , Relja Markovic
发明人： Stephen Latta , Darren Bennett , Kevin Geisner , Relja Markovic
IPC分类号： G06T15/00 , G06F3/00 , G06T13/40 , G06F3/01 , G06F3/03 , G06F3/0486
CPC分类号： G06F3/017 , G06F3/005 , G06F3/011 , G06F3/0304 , G06F3/0346 , G06F3/0485 , G06F3/0486 , G06F2203/04806 , G06T13/40
摘要： A virtual skeleton includes a plurality of joints and provides a machine readable representation of a human target observed with a three-dimensional depth camera. A relative position of a hand joint of the virtual skeleton is translated as a gestured control, and a three-dimensional virtual world is controlled responsive to the gestured control.
摘要翻译：虚拟骨架包括多个关节，并提供用三维深度相机观察到的人类目标的机器可读表示。虚拟骨架的手关节的相对位置被转换为手势控制，并且响应于手势控制来控制三维虚拟世界。

86. 发明授权

US08942428B2 Isolate extraneous motions 有权
标题翻译：隔离外来运动
公开(公告)号：US08942428B2
公开(公告)日：2015-01-27
申请号：US12475302
申请日：2009-05-29
申请人： Gregory Nelson Snook , Relja Markovic , Stephen Gilchrist Latta , Kevin Geisner
发明人： Gregory Nelson Snook , Relja Markovic , Stephen Gilchrist Latta , Kevin Geisner
IPC分类号： G06K9/00 , G06F3/01
CPC分类号： G06K9/00342 , A63F13/213 , G06F3/011 , G06F3/017 , G06F2203/012 , G06K9/00335 , G06K9/00355
摘要： A system may receive image data and capture motion with respect to a target in a physical space and recognize a gesture from the captured motion. It may be desirable to isolate aspects of captured motion to differentiate random and extraneous motions. For example, a gesture may comprise motion of a user's right arm, and it may be desirable to isolate the motion of the user's right arm and exclude an interpretation of any other motion. Thus, the isolated aspect may be the focus of the received data for gesture recognition. Alternately, the isolated aspects may be an aspect of the captured motion that is removed from consideration when identifying a gesture from the captured motion. For example, gesture filters may be modified to correspond to the user's natural lean to eliminate the effect the lean has on the registry of a motion with a gesture filter.
摘要翻译：系统可以接收图像数据并捕获相对于物理空间中的目标物的运动，并从所捕获的运动中识别手势。可能需要分离捕获的运动的方面以区分随机和外来运动。例如，手势可以包括用户的右臂的运动，并且可能需要隔离用户的右臂的运动并排除任何其他运动的解释。因此，隔离的方面可以是用于手势识别的接收数据的焦点。替代地，孤立的方面可以是从捕获的运动识别手势时被捕获的运动的一个方面。例如，可以修改手势滤波器以对应于用户的自然倾斜，以消除精益对具有手势滤波器的运动的注册表的影响。

87. 发明授权

US08578302B2 Predictive determination 有权
标题翻译：预测决定
公开(公告)号：US08578302B2
公开(公告)日：2013-11-05
申请号：US13154241
申请日：2011-06-06
申请人： Relja Markovic , Gregory N. Snook , Justin McBride
发明人： Relja Markovic , Gregory N. Snook , Justin McBride
IPC分类号： G06F3/033
CPC分类号： G06F3/017 , H04N7/18
摘要： Systems, methods and computer readable media are disclosed for a gesture recognizer system architecture. A recognizer engine is provided, which receives user motion data and provides that data to a plurality of filters. A filter corresponds to a gesture, that may then be tuned by an application receiving information from the gesture recognizer so that the specific parameters of the gesture—such as an arm acceleration for a throwing gesture—may be set on a per-application level, or multiple times within a single application. Each filter may output to an application using it a confidence level that the corresponding gesture occurred, as well as further details about the user motion data.
摘要翻译：公开了用于手势识别器系统架构的系统，方法和计算机可读介质。提供识别引擎，其接收用户运动数据并将该数据提供给多个滤波器。过滤器对应于手势，然后可以通过应用从手势识别器接收信息进行调整，使得手势的特定参数（例如用于投掷手势的手臂加速度）可以在每个应用程序级设置，或在单个应用程序中多次。每个滤波器可以使用它来输出相应手势发生的置信水平的应用，以及关于用户运动数据的进一步细节。

88. 发明申请

US20130135180A1 SHARED COLLABORATION USING HEAD-MOUNTED DISPLAY 有权
标题翻译：使用头戴式显示器进行共享协作
公开(公告)号：US20130135180A1
公开(公告)日：2013-05-30
申请号：US13308350
申请日：2011-11-30
申请人： Daniel McCulloch , Stephen Latta , Darren Bennett , Ryan Hastings , Jason Scott , Relja Markovic , Kevin Geisner , Jonathan Steed
发明人： Daniel McCulloch , Stephen Latta , Darren Bennett , Ryan Hastings , Jason Scott , Relja Markovic , Kevin Geisner , Jonathan Steed
IPC分类号： G09G5/00
CPC分类号： G06F3/011 , G02B27/017 , G02B2027/014 , G06F3/012 , G06Q10/10 , G06T19/006
摘要： Various embodiments are provided for a shared collaboration system and related methods for enabling an active user to interact with one or more additional users and with collaboration items. In one embodiment a head-mounted display device is operatively connected to a computing device that includes a collaboration engine program. The program receives observation information of a physical space from the head-mounted display device along with a collaboration item. The program visually augments an appearance of the physical space as seen through the head-mounted display device to include an active user collaboration item representation of the collaboration item. The program populates the active user collaboration item representation with additional user collaboration item input from an additional user.
摘要翻译：提供了用于共享协作系统和用于使活动用户能够与一个或多个附加用户和协作项目交互的相关方法的各种实施例。在一个实施例中，头戴式显示设备可操作地连接到包括协作引擎程序的计算设备。该程序与协作项目一起从头戴式显示装置接收物理空间的观察信息。该程序目视地增强了通过头戴式显示装置所看到的物理空间的外观，以包括协作项目的活动用户协作项目表示。该程序使用从附加用户输入的附加用户协作项来填充活动的用户协作项表示。

89. 发明授权

US08253746B2 Determine intended motions 有权
标题翻译：确定预期的动议
公开(公告)号：US08253746B2
公开(公告)日：2012-08-28
申请号：US12434532
申请日：2009-05-01
申请人： Kevin Geisner , Relja Markovic , Stephen Gilchrist Latta , Gregory Nelson Snook , Kudo Tsunoda , Darren Alexander Bennett
发明人： Kevin Geisner , Relja Markovic , Stephen Gilchrist Latta , Gregory Nelson Snook , Kudo Tsunoda , Darren Alexander Bennett
IPC分类号： G06T13/00
CPC分类号： A63F13/213 , A63F13/42 , A63F2300/1093 , A63F2300/6045 , A63F2300/64 , A63F2300/69 , G06F3/011 , G06F3/017 , G06T13/40
摘要： It may be desirable to apply corrective data to aspects of captured image or the user-performed gesture for display of a visual representation that corresponds to the corrective data. The captured motion may be any motion in the physical space that is captured by the capture device, such as a camera. Aspects of a skeletal or mesh model of a person, that is generated based on the image data captured by the capture device, may be modified prior to animation. The modification may be made to the model generated from image data that represents a target or a target's motion, including user gestures, in the physical space. For example, certain joints of a skeletal model may be readjusted or realigned. A model of a target may be modified by applying differential correction, magnetism principles, binary snapping, confining virtual movement to defined spaces, or the like.
摘要翻译：可能期望将校正数据应用于捕获图像的方面或用户执行的手势以显示对应于校正数据的视觉表示。捕获的运动可以是由捕获装置捕获的物理空间中的任何运动，例如相机。可以在动画之前修改基于捕获设备捕获的图像数据生成的人的骨骼或网格模型的方面。可以对在物理空间中表示目标或目标的运动（包括用户手势）的图像数据生成的模型进行修改。例如，可以重新调整或重新对准骨骼模型的某些关节。可以通过应用差分校正，磁性原理，二进制捕捉，将虚拟运动限定到定义的空间等来修改目标的模型。

90. 发明申请

US20110234490A1 Predictive Determination 有权
标题翻译：预测性测定
公开(公告)号：US20110234490A1
公开(公告)日：2011-09-29
申请号：US13154241
申请日：2011-06-06
申请人： Relja Markovic , Gregory N. Snook , Justin McBride
发明人： Relja Markovic , Gregory N. Snook , Justin McBride
IPC分类号： G09G5/00
CPC分类号： G06F3/017 , H04N7/18
摘要： Systems, methods and computer readable media are disclosed for a gesture recognizer system architecture. A recognizer engine is provided, which receives user motion data and provides that data to a plurality of filters. A filter corresponds to a gesture, that may then be tuned by an application receiving information from the gesture recognizer so that the specific parameters of the gesture—such as an arm acceleration for a throwing gesture—may be set on a per-application level, or multiple times within a single application. Each filter may output to an application using it a confidence level that the corresponding gesture occurred, as well as further details about the user motion data.
摘要翻译：公开了用于手势识别器系统架构的系统，方法和计算机可读介质。提供识别引擎，其接收用户运动数据并将该数据提供给多个滤波器。过滤器对应于手势，然后可以通过应用从手势识别器接收信息进行调整，使得手势的特定参数（例如用于投掷手势的手臂加速度）可以在每个应用程序级设置，或在单个应用程序中多次。每个滤波器可以使用它来输出相应手势发生的置信水平的应用，以及关于用户运动数据的进一步细节。

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