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31. 发明授权

US09710730B2 Image registration 有权
公开(公告)号：US09710730B2
公开(公告)日：2017-07-18
申请号：US13025500
申请日：2011-02-11
申请人： Ender Konukoglu , Sayan Pathak , Khan Mohammad Siddiqui , Antonio Criminisi , Steven White , Jamie Daniel Joseph Shotton , Duncan Paul Robertson
发明人： Ender Konukoglu , Sayan Pathak , Khan Mohammad Siddiqui , Antonio Criminisi , Steven White , Jamie Daniel Joseph Shotton , Duncan Paul Robertson
IPC分类号： G06K9/32 , G06K9/62 , G06T7/35
CPC分类号： G06K9/6277 , G06K9/6282 , G06T7/35 , G06T2207/10072 , G06T2207/10116 , G06T2207/10132 , G06T2207/20072 , G06T2207/20076 , G06T2207/20081 , G06T2207/30004
摘要： Image registration is described. In an embodiment an image registration system executes automatic registration of images, for example medical images. In an example, semantic information is computed for each of the images to be registered comprising information about the types of objects in the images and the certainty of that information. In an example a mapping is found to register the images which takes into account the intensities of the image elements as well as the semantic information in a manner which is weighted by the certainty of that semantic information. For example, the semantic information is computed by estimating posterior distributions for the locations of anatomical structures by using a regression forest and transforming the posterior distributions into a probability map. In an example the mapping is found as a global point of inflection of an energy function, the energy function having a term related to the semantic information.

32. 发明授权

US08660303B2 Detection of body and props 有权
标题翻译：检测身体和道具
公开(公告)号：US08660303B2
公开(公告)日：2014-02-25
申请号：US12972837
申请日：2010-12-20
申请人： Shahram Izadi , Jamie Shotton , John Winn , Antonio Criminisi , Otmar Hilliges , Mat Cook , David Molyneaux
发明人： Shahram Izadi , Jamie Shotton , John Winn , Antonio Criminisi , Otmar Hilliges , Mat Cook , David Molyneaux
IPC分类号： G06K9/00 , G06K9/62 , G06K9/36
CPC分类号： G06K9/00369
摘要： A system and method for detecting and tracking targets including body parts and props is described. In one aspect, the disclosed technology acquires one or more depth images, generates one or more classification maps associated with one or more body parts and one or more props, tracks the one or more body parts using a skeletal tracking system, tracks the one or more props using a prop tracking system, and reports metrics regarding the one or more body parts and the one or more props. In some embodiments, feedback may occur between the skeletal tracking system and the prop tracking system.
摘要翻译：描述了用于检测和跟踪包括身体部位和道具的目标的系统和方法。在一个方面，所公开的技术获取一个或多个深度图像，生成与一个或多个身体部位和一个或多个道具相关联的一个或多个分类图，使用骨骼跟踪系统跟踪一个或多个身体部位，使用道具跟踪系统的更多道具，并且报告关于一个或多个身体部位和一个或多个道具的指标。在一些实施例中，可以在骨骼跟踪系统和支架跟踪系统之间进行反馈。

33. 发明授权

US08638985B2 Human body pose estimation 有权
标题翻译：人体姿势估计
公开(公告)号：US08638985B2
公开(公告)日：2014-01-28
申请号：US13040205
申请日：2011-03-03
申请人： Jamie Daniel Joseph Shotton , Shahram Izadi , Otmar Hilliges , David Kim , David Geoffrey Molyneaux , Matthew Darius Cook , Pushmeet Kohli , Antonio Criminisi , Ross Brook Girshick , Andrew William Fitzgibbon
发明人： Jamie Daniel Joseph Shotton , Shahram Izadi , Otmar Hilliges , David Kim , David Geoffrey Molyneaux , Matthew Darius Cook , Pushmeet Kohli , Antonio Criminisi , Ross Brook Girshick , Andrew William Fitzgibbon
IPC分类号： G06K9/00
CPC分类号： G06K9/00369
摘要： Techniques for human body pose estimation are disclosed herein. Images such as depth images, silhouette images, or volumetric images may be generated and pixels or voxels of the images may be identified. The techniques may process the pixels or voxels to determine a probability that each pixel or voxel is associated with a segment of a body captured in the image or to determine a three-dimensional representation for each pixel or voxel that is associated with a location on a canonical body. These probabilities or three-dimensional representations may then be utilized along with the images to construct a posed model of the body captured in the image.
摘要翻译：本文公开了人体姿势估计技术。可以生成诸如深度图像，剪影图像或体积图像的图像，并且可以识别图像的像素或体素。这些技术可以处理像素或体素以确定每个像素或体素与在图像中捕获的身体的片段相关联的概率，或者确定与每个像素或体素上的位置相关联的每个像素或体素的三维表示规范身体。然后可以将这些概率或三维表示与图像一起使用以构建在图像中捕获的身体的姿态模型。

34. 发明申请

US20130223690A1 COMPUTING HIGH DYNAMIC RANGE PHOTOGRAPHS 有权
标题翻译：计算高动态范围摄影
公开(公告)号：US20130223690A1
公开(公告)日：2013-08-29
申请号：US13406872
申请日：2012-02-28
申请人： Antonio Criminisi
发明人： Antonio Criminisi
IPC分类号： G06K9/00
CPC分类号： G06T5/008 , G06T5/50 , G06T2207/10016 , G06T2207/10144 , G06T2207/20012 , G06T2207/20208 , G06T2207/20221 , H04N5/2355
摘要： Computing high dynamic range photographs is described for example, to enable high ranges of intensities to be represented in a single image. In various embodiments two or more photographs of the same scene taken at different exposure levels are combined in a way which takes into account intensity or other gradients in the images to form a high dynamic range image. In embodiments geodesic distances (which take into account intensity or other image gradients) are computed and used to form weights for a weighted aggregation of the photographs. In some embodiments a user configurable parameter is operable to control a degree of mixing of the photographs as the high dynamic range image is formed.
摘要翻译：例如，描述了计算高动态范围照片的方式，以便能够在单个图像中表示高范围的强度。在各种实施例中，以考虑到图像中的强度或其他梯度以形成高动态范围图像的方式组合以不同曝光水平拍摄的相同场景的两个或更多张照片。在实施例中，计算测距距离（其考虑强度或其他图像梯度）并且用于形成照片的加权聚集的权重。在一些实施例中，当形成高动态范围图像时，用户可配置参数可操作以控制照片的混合程度。

35. 发明授权

US08514264B2 Remote workspace sharing 有权
标题翻译：远程工作区共享
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
CPC分类号： G06Q10/10 , 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。

36. 发明授权

US08290295B2 Multi-modal tone-mapping of images 有权
标题翻译：图像的多模式色调映射
公开(公告)号：US08290295B2
公开(公告)日：2012-10-16
申请号：US12396590
申请日：2009-03-03
申请人： Antonio Criminisi , Evgeny Salnikov , Toby Sharp
发明人： Antonio Criminisi , Evgeny Salnikov , Toby Sharp
IPC分类号： G06K9/38
CPC分类号： G06K9/38 , G06T5/009 , G06T5/40 , G06T2207/10032 , G06T2207/10081 , G06T2207/20208 , G06T2207/30004 , G06T2207/30181
摘要： A system for multi-modal mapping of images is described. Embodiments are described where the image mapping system is used for visualizing high dynamic range images such as medical images, satellite images, high dynamic range photographs and the like and also for compressing such images. In examples, high bit-depth images are tone-mapped for display on equipment of lower bit-depth without loss of detail. In embodiments, the image mapping system computes statistics describing an input image and fits a multi-modal model to those statistics efficiently. In embodiments, the multi-modal model is a Gaussian mixture model and a plurality of sigmoid functions corresponding to the multi-modal model are obtained. In an embodiment the sigmoid functions are added to form a tone-mapping function which is used to transform a high bit-depth image such as 16 or 12 bits per pixel to a low bit-depth image such as 8 bits per pixel.
摘要翻译：描述了用于图像的多模态映射的系统。描述实施例，其中图像映射系统用于可视化诸如医学图像，卫星图像，高动态范围照片等的高动态范围图像，并且还用于压缩这样的图像。在示例中，高位深图像被色调映射以便在较低位深度的设备上显示而不损失细节。在实施例中，图像映射系统计算描述输入图像的统计量，并将多模态模型有效地适应于这些统计。在实施例中，多模态模型是高斯混合模型，并且获得对应于多模态模型的多个S形函数。在一个实施例中，添加S形功能以形成色调映射功能，其用于将诸如每像素16或12位的高位深度图像变换为诸如每像素8位的低位深度图像。

37. 发明授权

US08103093B2 Image segmentation of foreground from background layers 有权
标题翻译：背景图层前景图像分割
公开(公告)号：US08103093B2
公开(公告)日：2012-01-24
申请号：US12689246
申请日：2010-01-19
申请人： Andrew Blake , Antonio Criminisi , Geoffrey Cross , Vladimir Kolmogorov
发明人： Andrew Blake , Antonio Criminisi , Geoffrey Cross , Vladimir Kolmogorov
IPC分类号： G06K9/34
CPC分类号： G06K9/00234 , G06K9/00261 , G06T7/11 , G06T7/143 , G06T7/162 , G06T7/174 , G06T7/254 , G06T2207/10016 , G06T2207/20121
摘要： Segmentation of foreground from background layers in an image may be provided by a segmentation process which may be based on one or more factors including motion, color, contrast, and the like. Color, motion, and optionally contrast information may be probabilistically fused to infer foreground and/or background layers accurately and efficiently. A likelihood of motion vs. non-motion may be automatically learned from training data and then fused with a contrast-sensitive color model. Segmentation may then be solved efficiently by an optimization algorithm such as a graph cut. Motion events in image sequences may be detected without explicit velocity computation.
摘要翻译：可以通过可以基于一个或多个因素（包括运动，颜色，对比度等）的分割过程来提供来自图像中的背景层的前景分割。颜色，运动和任选的对比度信息可以被概率地融合到准确和有效地推断前景和/或背景层。运动与非运动的可能性可以从训练数据自动学习，然后与对比度敏感色彩模型融合。然后可以通过诸如图形切割的优化算法有效地解决分割。可以在没有显式速度计算的情况下检测图像序列中的运动事件。

38. 发明申请

US20110188715A1 Automatic Identification of Image Features 审中-公开
标题翻译：图像特征的自动识别
公开(公告)号：US20110188715A1
公开(公告)日：2011-08-04
申请号：US12697785
申请日：2010-02-01
申请人： Jamie Daniel Joseph Shotton , Antonio Criminisi
发明人： Jamie Daniel Joseph Shotton , Antonio Criminisi
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06K9/6282 , G06K2209/051 , G06T7/0012
摘要： Automatic identification of image features is described. In an embodiment, a device automatically identifies organs in a medical image using a decision forest formed of a plurality of distinct, trained decision trees. An image element from the image is applied to each of the trained decision trees to obtain a probability of the image element representing a predefined class of organ. The probabilities from each of the decision trees are aggregated and used to assign an organ classification to the image element. In another embodiment, a method of training a decision tree to identify features in an image is provided. For a selected node in the decision tree, a training image is analyzed at a plurality of locations offset from a selected image element, and one of the offsets is selected based on the results of the analysis and stored in association with the node.
摘要翻译：描述图像特征的自动识别。在一个实施例中，设备使用由多个不同的训练有素的决策树形成的决策树，自动识别医学图像中的器官。将来自图像的图像元素应用于每个经训练的决策树，以获得表示预定类别器官的图像元素的概率。来自每个决策树的概率被聚合并用于将分类器官分类给图像元素。在另一个实施例中，提供了一种训练决策树以识别图像中的特征的方法。对于决策树中的选定节点，在与所选择的图像元素偏移的多个位置处分析训练图像，并且基于分析的结果来选择偏移中的一个，并且与节点相关联地存储。

39. 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。

40. 发明申请

US20100226547A1 Multi-Modal Tone-Mapping of Images 有权
标题翻译：图像的多模态色调映射
公开(公告)号：US20100226547A1
公开(公告)日：2010-09-09
申请号：US12396590
申请日：2009-03-03
申请人： Antonio Criminisi , Evgeny Salnikov , Toby Sharp
发明人： Antonio Criminisi , Evgeny Salnikov , Toby Sharp
IPC分类号： G06K9/00
CPC分类号： G06K9/38 , G06T5/009 , G06T5/40 , G06T2207/10032 , G06T2207/10081 , G06T2207/20208 , G06T2207/30004 , G06T2207/30181
摘要： A system for multi-modal mapping of images is described. Embodiments are described where the image mapping system is used for visualizing high dynamic range images such as medical images, satellite images, high dynamic range photographs and the like and also for compressing such images. In examples, high bit-depth images are tone-mapped for display on equipment of lower bit-depth without loss of detail. In embodiments, the image mapping system computes statistics describing an input image and fits a multi-modal model to those statistics efficiently. In embodiments, the multi-modal model is a Gaussian mixture model and a plurality of sigmoid functions corresponding to the multi-modal model are obtained. In an embodiment the sigmoid functions are added to form a tone-mapping function which is used to transform a high bit-depth image such as 16 or 12 bits per pixel to a low bit-depth image such as 8 bits per pixel.
摘要翻译：描述了用于图像的多模态映射的系统。描述实施例，其中图像映射系统用于可视化诸如医学图像，卫星图像，高动态范围照片等的高动态范围图像，并且还用于压缩这样的图像。在示例中，高位深图像被色调映射以便在较低位深度的设备上显示而不损失细节。在实施例中，图像映射系统计算描述输入图像的统计量，并将多模态模型有效地适应于这些统计。在实施例中，多模态模型是高斯混合模型，并且获得对应于多模态模型的多个S形函数。在一个实施例中，添加S形功能以形成色调映射功能，其用于将诸如每像素16或12位的高位深度图像变换为诸如每像素8位的低位深度图像。

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