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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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公开(公告)号：US20120105585A1
公开(公告)日：2012-05-03
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
IPC分类号： H04N13/02
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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公开(公告)号：US20120159290A1
公开(公告)日：2012-06-21
申请号：US12972341
申请日：2010-12-17
申请人： Jon D. Pulsipher , Parham Mohadjer , Nazeeh Amin ElDirghami , Shao Liu , Patrick Orville Cook , James Chadon Foster , Ronald Omega Forbes, JR. , Szymon P. Stachniak , Tommer Leyvand , Joseph Bertolami , Michael Taylor Janney , Kien Toan Huynh , Charles Claudius Marais , Spencer Dean Perreault , Robert John Fitzgerald , Wayne Richard Bisson , Craig Carroll Peeper
发明人： Jon D. Pulsipher , Parham Mohadjer , Nazeeh Amin ElDirghami , Shao Liu , Patrick Orville Cook , James Chadon Foster , Ronald Omega Forbes, JR. , Szymon P. Stachniak , Tommer Leyvand , Joseph Bertolami , Michael Taylor Janney , Kien Toan Huynh , Charles Claudius Marais , Spencer Dean Perreault , Robert John Fitzgerald , Wayne Richard Bisson , Craig Carroll Peeper
IPC分类号： G06F11/07
CPC分类号： G06T7/004 , G06K9/00369 , G06K9/38 , G06K9/6262 , G06T7/251 , G06T7/70 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196
摘要： Technology for testing a target recognition, analysis, and tracking system is provided. A searchable repository of recorded and synthesized depth clips and associated ground truth tracking data is provided. Data in the repository is used by one or more processing devices each including at least one instance of a target recognition, analysis, and tracking pipeline to analyze performance of the tracking pipeline. An analysis engine provides at least a subset of the searchable set responsive to a request to test the pipeline and receives tracking data output from the pipeline on the at least subset of the searchable set. A report generator outputs an analysis of the tracking data relative to the ground truth in the at least subset to provide an output of the error relative to the ground truth.
摘要翻译： 提供了用于测试目标识别，分析和跟踪系统的技术。 提供了可记录和合成的深度剪辑和相关的地面真实跟踪数据的可搜索仓库。 存储库中的数据由一个或多个处理设备使用，每个处理设备包括目标识别，分析和跟踪流水线的至少一个实例来分析跟踪流水线的性能。 分析引擎响应于测试流水线的请求提供可搜索集合的至少一个子集，并且从可管理集合的至少子集上接收从流水线输出的跟踪数据。 报告生成器输出关于至少子集中的地面真实的跟踪数据的分析，以提供相对于地面真值的误差的输出。
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公开(公告)号：US08448056B2
公开(公告)日：2013-05-21
申请号：US12972341
申请日：2010-12-17
申请人： Jon D. Pulsipher , Parham Mohadjer , Nazeeh Amin ElDirghami , Shao Liu , Patrick Orville Cook , James Chadon Foster , Ronald Omega Forbes, Jr. , Szymon P. Stachniak , Tommer Leyvand , Joseph Bertolami , Michael Taylor Janney , Kien Toan Huynh , Charles Claudius Marais , Spencer Dean Perreault , Robert John Fitzgerald , Wayne Richard Bisson , Craig Carroll Peeper
发明人： Jon D. Pulsipher , Parham Mohadjer , Nazeeh Amin ElDirghami , Shao Liu , Patrick Orville Cook , James Chadon Foster , Ronald Omega Forbes, Jr. , Szymon P. Stachniak , Tommer Leyvand , Joseph Bertolami , Michael Taylor Janney , Kien Toan Huynh , Charles Claudius Marais , Spencer Dean Perreault , Robert John Fitzgerald , Wayne Richard Bisson , Craig Carroll Peeper
IPC分类号： G06F11/00
CPC分类号： G06T7/004 , G06K9/00369 , G06K9/38 , G06K9/6262 , G06T7/251 , G06T7/70 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196
摘要： Technology for testing a target recognition, analysis, and tracking system is provided. A searchable repository of recorded and synthesized depth clips and associated ground truth tracking data is provided. Data in the repository is used by one or more processing devices each including at least one instance of a target recognition, analysis, and tracking pipeline to analyze performance of the tracking pipeline. An analysis engine provides at least a subset of the searchable set responsive to a request to test the pipeline and receives tracking data output from the pipeline on the at least subset of the searchable set. A report generator outputs an analysis of the tracking data relative to the ground truth in the at least subset to provide an output of the error relative to the ground truth.
摘要翻译： 提供了用于测试目标识别，分析和跟踪系统的技术。 提供了可记录和合成的深度剪辑和相关的地面真实跟踪数据的可搜索仓库。 存储库中的数据由一个或多个处理设备使用，每个处理设备包括目标识别，分析和跟踪流水线的至少一个实例来分析跟踪流水线的性能。 分析引擎响应于测试流水线的请求提供可搜索集合的至少一个子集，并且从可管理集合的至少子集上接收从流水线输出的跟踪数据。 报告生成器输出关于至少子集中的地面真实的跟踪数据的分析，以提供相对于地面真值的误差的输出。
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公开(公告)号：US20170099481A1
公开(公告)日：2017-04-06
申请号：US14873928
申请日：2015-10-02
申请人： Robert Thomas Held , Anatolie Gavriliuc , Riccardo Giraldi , Szymon P. Stachniak , Andrew Frederick Muehlhausen , Maxime Ouellet
发明人： Robert Thomas Held , Anatolie Gavriliuc , Riccardo Giraldi , Szymon P. Stachniak , Andrew Frederick Muehlhausen , Maxime Ouellet
CPC分类号： H04N13/327 , G02B27/017 , G02B27/0172 , G02B2027/0134 , G02B2027/0138 , G02B2027/014 , G02B2027/0174 , G06T19/006 , H04N13/204 , H04N13/344 , H04N13/383 , H04N13/398
摘要： Examples are disclosed herein that relate to calibrating a user's eye for a stereoscopic display. One example provides, on a head-mounted display device including a see-through display, a method of calibrating a stereoscopic display for a user's eyes, the method including for a first eye, receiving an indication of alignment of a user-controlled object with a first eye reference object viewable via the head-mounted display device from a perspective of the first eye, determining a first ray intersecting the user-controlled object and the first eye reference object from the perspective of the first eye, and determining a position of the first eye based on the first ray. The method further includes repeating such steps for a second eye, determining a position of the second eye based on a second ray, and calibrating the stereoscopic display based on the position of the first eye and the position of the second eye.
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公开(公告)号：US20150138078A1
公开(公告)日：2015-05-21
申请号：US14546750
申请日：2014-11-18
CPC分类号： G06K9/4647 , G06F3/017 , G06K9/00389 , G06K9/6269
摘要： Pose and gesture detection and classification of a human poses and gestures using a discriminative ferns ensemble classifier is provided. Sample image data in one or more channels includes a human image. A processing device operates on the sample image data using the discriminative ferns ensemble classifier. The classifier has set of classification tables and matching bit features (ferns) which are developed using a first set of training data and optimized by a weighting of the tables using an SVM linear classifier configured based on the first or a second set of pose training data. The tables allow computation of a score per pose class for the image in the sample data and the processor outputs a determination of the pose in the sample depth image data. The determination enables the manipulation of a natural user interface.
摘要翻译： 提供了使用歧视蕨类集合分类器的姿态和手势检测和人类姿势和手势的分类。 一个或多个通道中的样本图像数据包括人类图像。 处理装置使用鉴别蕨类集合分类器对样本图像数据进行操作。 分类器具有使用第一组训练数据开发的分类表和匹配比特特征（蕨类）的集合，并且使用基于第一或第二组姿势训练数据配置的SVM线性分类器通过对表的加权进行优化 。 这些表允许计算采样数据中的图像的每个姿态等级的分数，并且处理器输出样本深度图像数据中姿态的确定。 该确定使得能够操纵自然的用户界面。
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