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公开(公告)号：US08125510B2
公开(公告)日：2012-02-28
申请号：US11669107
申请日：2007-01-30
IPC分类号： H04N7/14
摘要： Existing remote workspace sharing systems are difficult to use. For example, changes made on a common work product by one user often appear abruptly on displays viewed by remote users. As a result the interaction is perceived as unnatural by the users and is often inefficient. Images of a display of a common work product are received from a camera at a first location. These images may also comprise information about objects between the display and the camera such as a user's hand editing a document on a tablet PC. These images are combined with images of the shared work product and displayed at remote locations. Advance information about remote user actions is then visible and facilitates collaborative mediation between users. Depth information may be used to influence the process of combining the images.
摘要翻译： 现有的远程工作区共享系统很难使用。 例如，一个用户在公共工作产品上进行的更改通常会在远程用户查看的显示器上突然出现。 因此，互动被用户认为是不自然的，并且通常效率低下。 在第一位置从相机接收公共作品的显示的图像。 这些图像还可以包括关于显示器和相机之间的对象的信息，例如用户在平板PC上编辑文档的手。 这些图像与共享工作产品的图像组合，并在远程位置显示。 然后可以看到有关远程用户操作的高级信息，并促进用户之间的协作中介。 深度信息可以用于影响组合图像的过程。
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公开(公告)号：US20080184124A1
公开(公告)日：2008-07-31
申请号：US11669107
申请日：2007-01-30
IPC分类号： G06F3/048
摘要： Existing remote workspace sharing systems are difficult to use. For example, changes made on a common work product by one user often appear abruptly on displays viewed by remote users. As a result the interaction is perceived as unnatural by the users and is often inefficient. Images of a display of a common work product are received from a camera at a first location. These images may also comprise information about objects between the display and the camera such as a user's hand editing a document on a tablet PC. These images are combined with images of the shared work product and displayed at remote locations. Advance information about remote user actions is then visible and facilitates collaborative mediation between users. Depth information may be used to influence the process of combining the images.
摘要翻译： 现有的远程工作区共享系统很难使用。 例如，一个用户在公共工作产品上进行的更改通常会在远程用户查看的显示器上突然出现。 因此，互动被用户认为是不自然的，并且通常效率低下。 在第一位置从相机接收公共作品的显示的图像。 这些图像还可以包括关于显示器和相机之间的对象的信息，例如用户在平板PC上编辑文档的手。 这些图像与共享工作产品的图像组合，并在远程位置显示。 然后可以看到有关远程用户操作的高级信息，并促进用户之间的协作中介。 深度信息可以用于影响组合图像的过程。
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公开(公告)号：US20120162354A1
公开(公告)日：2012-06-28
申请号：US13406235
申请日：2012-02-27
IPC分类号： H04N7/15
摘要： Existing remote workspace sharing systems are difficult to use. For example, changes made on a common work product by one user often appear abruptly on displays viewed by remote users. As a result the interaction is perceived as unnatural by the users and is often inefficient. Images of a display of a common work product are received from a camera at a first location. These images may also comprise information about objects between the display and the camera such as a user's hand editing a document on a tablet PC. These images are combined with images of the shared work product and displayed at remote locations. Advance information about remote user actions is then visible and facilitates collaborative mediation between users. Depth information may be used to influence the process of combining the images.
摘要翻译： 现有的远程工作区共享系统很难使用。 例如，一个用户在公共工作产品上进行的更改通常会在远程用户查看的显示器上突然出现。 因此，互动被用户认为是不自然的，并且通常效率低下。 在第一位置从相机接收公共作品的显示的图像。 这些图像还可以包括关于显示器和相机之间的对象的信息，例如用户在平板PC上编辑文档的手。 这些图像与共享工作产品的图像组合，并在远程位置显示。 然后可以看到有关远程用户操作的高级信息，并促进用户之间的协作中介。 深度信息可以用于影响组合图像的过程。
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公开(公告)号：US08514264B2
公开(公告)日：2013-08-20
申请号：US13406235
申请日：2012-02-27
申请人： Ankur Agarwal , Antonio Criminisi , William A. S. Buxton , Andrew Blake , Andrew William Fitzgibbon
发明人： Ankur Agarwal , Antonio Criminisi , William A. S. Buxton , Andrew Blake , Andrew William Fitzgibbon
IPC分类号： H04N7/15
摘要： Existing remote workspace sharing systems are difficult to use. For example, changes made on a common work product by one user often appear abruptly on displays viewed by remote users. As a result the interaction is perceived as unnatural by the users and is often inefficient. Images of a display of a common work product are received from a camera at a first location. These images may also comprise information about objects between the display and the camera such as a user's hand editing a document on a tablet PC. These images are combined with images of the shared work product and displayed at remote locations. Advance information about remote user actions is then visible and facilitates collaborative mediation between users. Depth information may be used to influence the process of combining the images.
摘要翻译： 现有的远程工作区共享系统很难使用。 例如，一个用户在公共工作产品上进行的更改通常会在远程用户查看的显示器上突然出现。 因此，互动被用户认为是不自然的，并且通常效率低下。 在第一位置从相机接收公共作品的显示的图像。 这些图像还可以包括关于显示器和相机之间的对象的信息，例如用户在平板PC上编辑文档的手。 这些图像与共享工作产品的图像组合，并在远程位置显示。 然后可以看到有关远程用户操作的高级信息，并促进用户之间的协作中介。 深度信息可以用于影响组合图像的过程。
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公开(公告)号：US08103109B2
公开(公告)日：2012-01-24
申请号：US11765264
申请日：2007-06-19
申请人： John Winn , Antonio Criminisi , Ankur Agarwal , Thomas Deselaers
发明人： John Winn , Antonio Criminisi , Ankur Agarwal , Thomas Deselaers
IPC分类号： G06K9/62
CPC分类号： G06K9/00355 , G06F3/017 , G06F3/0425 , G06K9/6282
摘要： There is a need to provide simple, accurate, fast and computationally inexpensive methods of object and hand pose recognition for many applications. For example, to enable a user to make use of his or her hands to drive an application either displayed on a tablet screen or projected onto a table top. There is also a need to be able to discriminate accurately between events when a user's hand or digit touches such a display from events when a user's hand or digit hovers just above that display. A random decision forest is trained to enable recognition of hand poses and objects and optionally also whether those hand poses are touching or not touching a display surface. The random decision forest uses image features such as appearance, shape and optionally stereo image features. In some cases, the training process is cost aware. The resulting recognition system is operable in real-time.
摘要翻译： 需要为许多应用提供简单，准确，快速和计算上便宜的对象和手姿态识别方法。 例如，为了使用户能够利用他或她的手来驱动显示在平板电脑屏幕上或投影到桌面上的应用程序。 当用户的手或数字在该显示器的正上方移动时，当用户的手或数字触发这样的显示时，还需要能够精确地区分事件之间的事件。 训练随机决策林以识别手姿势和物体，并且还可以选择性地确定那些手姿势是触摸还是不接触显示表面。 随机决策林使用图像特征，如外观，形状和可选的立体图像特征。 在某些情况下，培训过程是意识到成本。 所得到的识别系统可以实时操作。
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公开(公告)号：US20120087575A1
公开(公告)日：2012-04-12
申请号：US13326166
申请日：2011-12-14
申请人： John Winn , Antonio Criminisi , Ankur Agarwal , Thomas Deselaers
发明人： John Winn , Antonio Criminisi , Ankur Agarwal , Thomas Deselaers
IPC分类号： G06K9/62
CPC分类号： G06K9/00355 , G06F3/017 , G06F3/0425 , G06K9/6282
摘要： There is a need to provide simple, accurate, fast and computationally inexpensive methods of object and hand pose recognition for many applications. For example, to enable a user to make use of his or her hands to drive an application either displayed on a tablet screen or projected onto a table top. There is also a need to be able to discriminate accurately between events when a user's hand or digit touches such a display from events when a user's hand or digit hovers just above that display. A random decision forest is trained to enable recognition of hand poses and objects and optionally also whether those hand poses are touching or not touching a display surface. The random decision forest uses image features such as appearance, shape and optionally stereo image features. In some cases, the training process is cost aware. The resulting recognition system is operable in real-time.
摘要翻译： 需要为许多应用提供简单，准确，快速和计算上便宜的对象和手姿态识别方法。 例如，为了使用户能够利用他或她的手来驱动显示在平板电脑屏幕上或投影到桌面上的应用程序。 当用户的手或数字在该显示器的正上方移动时，当用户的手或数字触发这样的显示时，还需要能够精确地区分事件之间的事件。 对随机决策林进行训练，以便能够识别手姿势和物体，并且可选地还可以确定那些手姿势是触摸还是不接触显示表面。 随机决策林使用图像特征，如外观，形状和可选的立体图像特征。 在某些情况下，培训过程是意识到成本。 所得到的识别系统可以实时操作。
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公开(公告)号：US20080317331A1
公开(公告)日：2008-12-25
申请号：US11765264
申请日：2007-06-19
申请人： John Winn , Antonio Criminisi , Ankur Agarwal , Thomas Deselaers
发明人： John Winn , Antonio Criminisi , Ankur Agarwal , Thomas Deselaers
IPC分类号： G06K9/00
CPC分类号： G06K9/00355 , G06F3/017 , G06F3/0425 , G06K9/6282
摘要： There is a need to provide simple, accurate, fast and computationally inexpensive methods of object and hand pose recognition for many applications. For example, to enable a user to make use of his or her hands to drive an application either displayed on a tablet screen or projected onto a table top. There is also a need to be able to discriminate accurately between events when a user's hand or digit touches such a display from events when a user's hand or digit hovers just above that display. A random decision forest is trained to enable recognition of hand poses and objects and optionally also whether those hand poses are touching or not touching a display surface. The random decision forest uses image features such as appearance, shape and optionally stereo image features. In some cases, the training process is cost aware. The resulting recognition system is operable in real-time.
摘要翻译： 需要为许多应用提供简单，准确，快速和计算上便宜的对象和手姿态识别方法。 例如，为了使用户能够利用他或她的手来驱动显示在平板电脑屏幕上或投影到桌面上的应用程序。 当用户的手或数字在该显示器的正上方移动时，当用户的手或数字触发这样的显示时，还需要能够精确地区分事件之间的事件。 对随机决策林进行训练，以便能够识别手姿势和物体，并且还可以选择地确定那些手姿势是否触及或不接触显示表面。 随机决策林使用图像特征，如外观，形状和可选的立体图像特征。 在某些情况下，培训过程是意识到成本。 所得到的识别系统可以实时操作。
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公开(公告)号：US08571263B2
公开(公告)日：2013-10-29
申请号：US13050858
申请日：2011-03-17
申请人： Jamie Daniel Joseph Shotton , Pushmeet Kohli , Ross Brook Girshick , Andrew Fitzgibbon , Antonio Criminisi
发明人： Jamie Daniel Joseph Shotton , Pushmeet Kohli , Ross Brook Girshick , Andrew Fitzgibbon , Antonio Criminisi
IPC分类号： G06K9/00
CPC分类号： G06F3/017 , G06K9/00362 , G06N5/025
摘要： Predicting joint positions is described, for example, to find joint positions of humans or animals (or parts thereof) in an image to control a computer game or for other applications. In an embodiment image elements of a depth image make joint position votes so that for example, an image element depicting part of a torso may vote for a position of a neck joint, a left knee joint and a right knee joint. A random decision forest may be trained to enable image elements to vote for the positions of one or more joints and the training process may use training images of bodies with specified joint positions. In an example a joint position vote is expressed as a vector representing a distance and a direction of a joint position from an image element making the vote. The random decision forest may be trained using a mixture of objectives.
摘要翻译： 例如，描述关节位置的描述是为了在图像中找到人或动物（或其部分）的联合位置，以控制计算机游戏或用于其他应用。 在一个实施例中，深度图像的图像元素进行联合位置投票，使得例如描绘躯干的一部分的图像元素可以投射颈部关节，左膝关节和右膝关节的位置。 可以对随机决策林进行训练，以使图像元素能够对一个或多个关节的位置进行投票，并且训练过程可以使用具有指定关节位置的身体的训练图像。 在一个例子中，联合立场表决被表示为表示从投票的图像元素的联合位置的距离和方向的向量。 可以使用目标混合来训练随机决策林。
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公开(公告)号：US20120239174A1
公开(公告)日：2012-09-20
申请号：US13050858
申请日：2011-03-17
申请人： Jamie Daniel Joseph Shotton , Pushmeet Kohli , Ross Brook Girshick , Andrew Fitzgibbon , Antonio Criminisi
发明人： Jamie Daniel Joseph Shotton , Pushmeet Kohli , Ross Brook Girshick , Andrew Fitzgibbon , Antonio Criminisi
CPC分类号： G06F3/017 , G06K9/00362 , G06N5/025
摘要： Predicting joint positions is described, for example, to find joint positions of humans or animals (or parts thereof) in an image to control a computer game or for other applications. In an embodiment image elements of a depth image make joint position votes so that for example, an image element depicting part of a torso may vote for a position of a neck joint, a left knee joint and a right knee joint. A random decision forest may be trained to enable image elements to vote for the positions of one or more joints and the training process may use training images of bodies with specified joint positions. In an example a joint position vote is expressed as a vector representing a distance and a direction of a joint position from an image element making the vote. The random decision forest may be trained using a mixture of objectives.
摘要翻译： 例如，描述关节位置的描述是为了在图像中找到人或动物（或其部分）的联合位置，以控制计算机游戏或用于其他应用。 在一个实施例中，深度图像的图像元素进行联合位置投票，使得例如描绘躯干的一部分的图像元素可以投射颈部关节，左膝关节和右膝关节的位置。 可以对随机决策林进行训练，以使图像元素能够对一个或多个关节的位置进行投票，并且训练过程可以使用具有指定关节位置的身体的训练图像。 在一个例子中，联合立场表决被表示为表示从投票的图像元素的联合位置的距离和方向的向量。 可以使用目标混合来训练随机决策林。
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公开(公告)号：US07671891B2
公开(公告)日：2010-03-02
申请号：US11751932
申请日：2007-05-22
IPC分类号： H04N17/00
CPC分类号： H04N17/002 , G06K9/209
摘要： Online camera calibration methods have been proposed whereby calibration information is extracted from the images that the system captures during normal operation and is used to continually update system parameters. However, such existing methods do not cope well with structure-poor scenes having little texture and/or 3D structure such as in a home or office environment. By considering camera families (a set of cameras that are manufactured at least partially in a common manner) it is possible to provide calibration methods which are suitable for use with structure-poor scenes. A prior distribution of camera parameters for a family of cameras is estimated and used to obtain accurate calibration results for individual cameras of the camera family even where the calibration is carried out online, in an environment which is structure-poor.
摘要翻译： 已经提出在线摄像机校准方法，其中从正常操作期间系统捕获的图像中提取校准信息，并用于不断地更新系统参数。 然而，这样的现有方法不能很好地解决具有很少纹理和/或3D结构的结构差的场景，例如在家庭或办公环境中。 通过考虑相机系列（一组至少部分以一般方式制造的相机），可以提供适合与结构不良的场景一起使用的校准方法。 对于一系列相机的相机参数的事先分配被估计并用于获得相机系列的各个照相机的精确校准结果，即使在结构差的环境中在线执行校准。
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