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1. 发明授权

US07570803B2 Virtual camera translation 有权
标题翻译：虚拟相机翻译
公开(公告)号：US07570803B2
公开(公告)日：2009-08-04
申请号：US10763453
申请日：2004-01-23
申请人： Antonio Criminisi , Andrew Blake , Philip H. S. Torr , Jamie Shotton
发明人： Antonio Criminisi , Andrew Blake , Philip H. S. Torr , Jamie Shotton
IPC分类号： G06K9/00
CPC分类号： H04N7/144 , G06T7/30 , G06T7/593 , G06T7/97 , H04N7/147
摘要： A multi-layer graph for dense stereo dynamic programming can improve synthesis of cyclopean virtual images by distinguishing between stereo disparities causes by occlusion and disparities caused by non-fronto-parallel surfaces. In addition, cyclopean virtual image processing may be combined with simulation of three-dimensional translation of a virtual camera to assist in aligning the user's gaze with the virtual camera. Such translation may include without limitation one or more of the following: horizontal (e.g., left and right) translation of the virtual camera, vertical translation (e.g., up and down) of the virtual camera, and axial translation (e.g., toward the subject and away from the subject) of the virtual camera.
摘要翻译：用于密集立体动态规划的多层图可以通过区分由闭塞引起的立体差异和由非前平行表面引起的差异来改善环形虚拟图像的合成。此外，环形虚拟图像处理可以与虚拟相机的三维平移的仿真结合起来，以帮助将用户的注视与虚拟相机对准。这样的翻译可以包括但不限于以下的一个或多个：虚拟相机的水平（例如，左和右）平移，虚拟相机的垂直平移（例如，上下）以及轴向平移（例如朝向主体并远离主题）的虚拟相机。

2. 发明授权

US07809183B2 Gaze manipulation 有权
标题翻译：凝视操纵
公开(公告)号：US07809183B2
公开(公告)日：2010-10-05
申请号：US10681007
申请日：2003-10-08
申请人： Antonio Criminisi , Andrew Blake , Philip H. S. Torr , Jamie Shotton
发明人： Antonio Criminisi , Andrew Blake , Philip H. S. Torr , Jamie Shotton
IPC分类号： G06K9/00
CPC分类号： H04N7/144 , G06T7/30 , G06T7/593 , G06T7/97
摘要： A multi-layer graph for dense stereo dynamic programming can improve synthesis of cyclopean virtual images by distinguishing between stereo disparities caused by occlusion and disparities caused by non-fronto-parallel surfaces. This distinction can be leveraged to reduce image artifacts, such as “halos”. Distinguishing at least between these two types of disparities allows improved matching of left and right pixel data, which increases the amount of correct pixel information used in constructing the cyclopean virtual image and minimizes occlusion artifacts.
摘要翻译：用于密集立体动态规划的多层图可以通过区分由闭塞引起的立体差异和由非前平行表面引起的差异来改善环形虚拟图像的合成。可以利用这种区别来减少图像伪影，如“光晕”。至少区分这两种类型的差异，可以改善左和右像素数据的匹配，这增加了在构建环形虚拟图像中使用的正确的像素信息的量并且最小化遮挡伪像。

3. 发明申请

US20050078865A1 Gaze manipulation 有权
标题翻译：凝视操纵
公开(公告)号：US20050078865A1
公开(公告)日：2005-04-14
申请号：US10681007
申请日：2003-10-08
申请人： Antonio Criminisi , Andrew Blake , Philip Torr , Jamie Shotton
发明人： Antonio Criminisi , Andrew Blake , Philip Torr , Jamie Shotton
IPC分类号： G06T7/00 , H04N7/14 , G06K9/00
CPC分类号： H04N7/144 , G06T7/30 , G06T7/593 , G06T7/97
摘要： A multi-layer graph for dense stereo dynamic programming can improve synthesis of cyclopean virtual images by distinguishing between stereo disparities caused by occlusion and disparities caused by non-fronto-parallel surfaces. This distinction can be leveraged to reduce image artifacts, such as “halos”. Distinguishing at least between these two types of disparities allows improved matching of left and right pixel data, which increases the amount of correct pixel information used in constructing the cyclopean virtual image and minimizes occlusion artifacts.
摘要翻译：用于密集立体动态规划的多层图可以通过区分由闭塞引起的立体差异和由非前平行表面引起的差异来改善环形虚拟图像的合成。可以利用这种区别来减少图像伪影，如“光晕”。至少区分这两种类型的差异，可以改善左和右像素数据的匹配，这增加了在构建环形虚拟图像中使用的正确的像素信息的量并且最小化遮挡伪像。

4. 发明申请

US20050078866A1 Virtual camera translation 有权
标题翻译：虚拟相机翻译
公开(公告)号：US20050078866A1
公开(公告)日：2005-04-14
申请号：US10763453
申请日：2004-01-23
申请人： Antonio Criminisi , Andrew Blake , Philip Torr , Jamie Shotton
发明人： Antonio Criminisi , Andrew Blake , Philip Torr , Jamie Shotton
IPC分类号： G06T7/00 , H04N7/14 , G06K9/00
CPC分类号： H04N7/144 , G06T7/30 , G06T7/593 , G06T7/97 , H04N7/147
摘要： A multi-layer graph for dense stereo dynamic progranmmiing can improve synthesis of cyclopean virtual images by distinguishing between stereo disparities causes by occlusion and disparities caused by non-fronto-parallel surfaces. In addition, cyclopean virtual image processing may be combined with simulation of three-dimensional translation of a virtual camera to assist in aligning the user's gaze with the virtual camera. Such translation may include without limitation one or more of the following: horizontal (e.g., left and right) translation of the virtual camera, vertical translation (e.g., up and down) of the virtual camera, and axial translation (e.g., toward the subject and away from the subject) of the virtual camera.
摘要翻译：用于密集立体声动态前进的多层图可以通过区分由闭塞引起的立体差异和由非前平行表面引起的差异来改善环形虚拟图像的合成。此外，环形虚拟图像处理可以与虚拟相机的三维平移的仿真结合起来，以帮助将用户的注视与虚拟相机对准。这样的翻译可以包括但不限于以下的一个或多个：虚拟相机的水平（例如，左和右）平移，虚拟相机的垂直平移（例如，上下）以及轴向平移（例如朝向主体并远离主题）的虚拟相机。

5. 发明授权

US07391908B2 Pattern detection using reduced set vectors 有权
标题翻译：使用缩减集矢量的模式检测
公开(公告)号：US07391908B2
公开(公告)日：2008-06-24
申请号：US11069229
申请日：2005-02-28
申请人： Andrew Blake , Sami Romdhani , Bernhard Schoelkopf , Philip H. S. Torr
发明人： Andrew Blake , Sami Romdhani , Bernhard Schoelkopf , Philip H. S. Torr
IPC分类号： G06K9/62 , G06K9/68
CPC分类号： G06K9/6269 , G06K9/00228
摘要： Systems and methods for object or pattern detection that use a nonlinear support vector (SV) machine are described. In the illustrated and described embodiment, objects or patterns comprising faces are detected. The decision surface is approximated in terms of a reduced set of expansion vectors. In order to determine the presence of a face, the kernelized inner product of the expansion vectors with the input pattern are sequentially evaluated and summed, such that if at any point the pattern can be rejected as not comprising a face, no more expansion vectors are used. The sequential application of the expansion vectors produces a substantial saving in computational time.
摘要翻译：描述了使用非线性支持向量（SV）机器的对象或模式检测的系统和方法。在所示出的和描述的实施例中，检测包括面部的对象或图案。决策表面根据缩减的扩展向量集来近似。为了确定面部的存在，扩展向量与输入图案的核心化内积被顺序地估计和相加，使得如果在任何点上可以将图案拒绝为不包括面部，则不再有扩展向量用过的。扩展向量的顺序应用可大大节省计算时间。

6. 发明授权

US06804391B1 Pattern detection methods and systems, and face detection methods and systems 有权
标题翻译：模式检测方法和系统，以及面部检测方法和系统
公开(公告)号：US06804391B1
公开(公告)日：2004-10-12
申请号：US09721399
申请日：2000-11-22
申请人： Andrew Blake , Sami Romdhani , Bernhard Schoelkopf , Philip H. S. Torr
发明人： Andrew Blake , Sami Romdhani , Bernhard Schoelkopf , Philip H. S. Torr
IPC分类号： G06K962
CPC分类号： G06K9/6269 , G06K9/00228
摘要： Systems and methods for object or pattern detection that use a nonlinear support vector (SV) machine are described. In the illustrated and described embodiment, objects or patterns comprising faces are detected. The decision surface is approximated in terms of a reduced set of expansion vectors. In order to determine the presence of a face, the kernelized inner product of the expansion vectors with the input pattern are sequentially evaluated and summed, such that if at any point the pattern can be rejected as not comprising a face, no more expansion vectors are used. The sequential application of the expansion vectors produces a substantial saving in computational time.
摘要翻译：描述了使用非线性支持向量（SV）机器的对象或模式检测的系统和方法。在所示出的和描述的实施例中，检测包括面部的对象或图案。决策表面根据缩减的扩展向量集来近似。为了确定面部的存在，扩展向量与输入图案的核心化内积被顺序地估计和相加，使得如果在任何点上可以将图案拒绝为不包括面部，则不再有扩展向量用过的。扩展向量的顺序应用可大大节省计算时间。

7. 发明授权

US07428330B2 Cyclopean virtual imaging via generalized probabilistic smoothing 有权
标题翻译： Cyclopean虚拟成像通过广义概率平滑
公开(公告)号：US07428330B2
公开(公告)日：2008-09-23
申请号：US10428388
申请日：2003-05-02
申请人： Andrew Blake , Philip H. S. Torr , Ingemar J. Cox
发明人： Andrew Blake , Philip H. S. Torr , Ingemar J. Cox
IPC分类号： G06K9/00
CPC分类号： G06T15/205 , G06K9/20 , G06K2209/40 , G06T7/97 , G06T2207/10021 , G06T2207/20076 , G06T2207/20228 , G06T2207/30201 , H04N7/15
摘要： A cyclopean virtual imaging system provides a view from a virtual camera placed symmetrically or midway between the calibrated cameras of a physical stereo pair. Such a system may be used in video conferencing applications as well as other stereo image contexts. By combining the left and right stereo images captured by the stereo pair, a virtual image is produced such that the subject appears to be looking into a cyclopean virtual camera, rather than to the left or right of a single physical camera. The cyclopean virtual image is generated by a forward-backward algorithm using a probabilistic distribution of possible disparity families.
摘要翻译：环形虚拟成像系统提供从物理立体声对的校准的相机之间对称地或中途放置的虚拟相机的视图。这样的系统可以用于视频会议应用以及其他立体声图像上下文中。通过组合由立体声对拍摄的左和右立体图像，产生虚拟图像，使得被摄体看起来正在观察一个环形虚拟相机，而不是单个物理相机的左侧或右侧。通过使用可能的差异系列的概率分布的前向后向算法来生成环形虚拟图像。

8. 发明授权

US07099504B2 Pattern detection methods and systems and face detection methods and systems 失效
标题翻译：模式检测方法和系统以及面部检测方法和系统
公开(公告)号：US07099504B2
公开(公告)日：2006-08-29
申请号：US10850883
申请日：2004-05-21
申请人： Andrew Blake , Sami Romdhani , Bernhard Schoelkopf , Philip H. S. Torr
发明人： Andrew Blake , Sami Romdhani , Bernhard Schoelkopf , Philip H. S. Torr
IPC分类号： G06K9/62
CPC分类号： G06K9/6269 , G06K9/00228
摘要： Systems and methods for object or pattern detection that use a nonlinear support vector (SV) machine are described. In the illustrated and described embodiment, objects or patterns comprising faces are detected. The decision surface is approximated in terms of a reduced set of expansion vectors. In order to determine the presence of a face, the kernelized inner product of the expansion vectors with the input pattern are sequentially evaluated and summed, such that if at any point the pattern can be rejected as not comprising a face, no more expansion vectors are used. The sequential application of the expansion vectors produces a substantial saving in computational time.
摘要翻译：描述了使用非线性支持向量（SV）机器的对象或模式检测的系统和方法。在所示出的和描述的实施例中，检测包括面部的对象或图案。决策表面根据缩减的扩展向量集来近似。为了确定面部的存在，扩展向量与输入图案的核心化内积被顺序地估计和相加，使得如果在任何点上可以将图案拒绝为不包括面部，则不再有扩展向量用过的。扩展向量的顺序应用可大大节省计算时间。

9. 发明授权

US07236626B2 Pattern detection 失效
标题翻译：模式检测
公开(公告)号：US07236626B2
公开(公告)日：2007-06-26
申请号：US11069228
申请日：2005-02-28
申请人： Andrew Blake , Sami Romdhani , Bernhard Schoelkopf , Philip H. S. Torr
发明人： Andrew Blake , Sami Romdhani , Bernhard Schoelkopf , Philip H. S. Torr
IPC分类号： G06K9/62
CPC分类号： G06K9/6269 , G06K9/00228
摘要： Systems and methods for object or pattern detection that use a nonlinear support vector (SV) machine are described. In the illustrated and described embodiment, objects or patterns comprising faces are detected. The decision surface is approximated in terms of a reduced set of expansion vectors. In order to determine the presence of a face, the kernelized inner product of the expansion vectors with the input pattern are sequentially evaluated and summed, such that if at any point the pattern can be rejected as not comprising a face, no more expansion vectors are used. The sequential application of the expansion vectors produces a substantial saving in computational time.
摘要翻译：描述了使用非线性支持向量（SV）机器的对象或模式检测的系统和方法。在所示出的和描述的实施例中，检测包括面部的对象或图案。决策表面根据缩减的扩展向量集来近似。为了确定面部的存在，扩展向量与输入图案的核心化内积被顺序地估计和相加，使得如果在任何点上可以将图案拒绝为不包括面部，则不再有扩展向量用过的。扩展向量的顺序应用可大大节省计算时间。

10. 发明授权

US08498481B2 Image segmentation using star-convexity constraints 有权
标题翻译：使用星形凸度约束的图像分割
公开(公告)号：US08498481B2
公开(公告)日：2013-07-30
申请号：US12776082
申请日：2010-05-07
申请人： Andrew Blake , Varun Gulshan , Carsten Rother , Antonio Criminisi
发明人： Andrew Blake , Varun Gulshan , Carsten Rother , Antonio Criminisi
IPC分类号： G06K9/34
CPC分类号： G06T7/11 , G06T7/194 , G06T2207/20101 , G06T2207/20168
摘要： Image segmentation using star-convexity constraints is described. In an example, user input specifies positions of one or more star centers in a foreground to be segmented from a background of an image. In embodiments, an energy function is used to express the problem of segmenting the image and that energy function incorporates a star-convexity constraint which limits the number of possible solutions. For example, the star-convexity constraint may be that, for any point p inside the foreground, all points on a shortest path (which may be geodesic or Euclidean) between the nearest star center and p also lie inside the foreground. In some examples continuous star centers such as lines are used. In embodiments a user may iteratively edit the star centers by adding brush strokes to the image in order to progressively change the star-convexity constraints and obtain an accurate segmentation.
摘要翻译：描述了使用星形凸度约束的图像分割。在一个示例中，用户输入指定要从图像的背景分割的前景中的一个或多个星形中心的位置。在实施例中，能量函数用于表示分割图像的问题，并且能量函数包含限制可能解决方案数量的星形 - 凸度约束。例如，星凸约束可以是，对于前景中的任何点p，最近的星中心和p之间的最短路径上的所有点（可以是测地线或欧几里德）也位于前景内。在一些示例中，使用诸如线的连续星形中心。在实施例中，用户可以通过向图像中添加画笔笔触来迭代地编辑星形中心，以逐渐改变星形凸度约束并获得准确的分割。

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