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1. 发明申请

US20110274352A1 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：US20110274352A1
公开(公告)日：2011-11-10
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。

2. 发明授权

US07925089B2 Optimization of multi-label problems in computer vision 失效
标题翻译：计算机视觉中多标签问题的优化
公开(公告)号：US07925089B2
公开(公告)日：2011-04-12
申请号：US11857075
申请日：2007-09-18
申请人： Carsten Rother , Victor Lempitsky , Andrew Blake
发明人： Carsten Rother , Victor Lempitsky , Andrew Blake
IPC分类号： G06K9/34
CPC分类号： G06K9/342 , G06K9/4638
摘要： A method of labeling pixels in an image is described where the pixel label is selected from a set of three or more labels. The pixel labeling problem is reduced to a sequence of binary optimizations by representing the label value for each pixel as a binary word and then optimizing the value of each bit within the word, starting with the most significant bit. Data which has been learned from one or more training images is used in the optimization to provide information about the less significant bits within the word.
摘要翻译：描述了一种标记图像中的像素的方法，其中从一组三个或更多个标签中选择像素标签。通过将每个像素的标签值表示为二进制字，然后优化字中每个位的值，从最高有效位开始，将像素标注问题简化为一系列二进制优化。在优化中使用已经从一个或多个训练图像中学习的数据来提供关于该单词内较低有效位的信息。

3. 发明申请

US20100128984A1 Labeling Image Elements 有权
标题翻译：标记图像元素
公开(公告)号：US20100128984A1
公开(公告)日：2010-05-27
申请号：US12323355
申请日：2008-11-25
申请人： Victor Lempitsky , Carsten Rother , Andrew Blake
发明人： Victor Lempitsky , Carsten Rother , Andrew Blake
IPC分类号： G06K9/34
CPC分类号： G06K9/6224
摘要： An image processing system is described which automatically labels image elements of a digital image. In an embodiment an energy function describing the quality of possible labelings of an image is globally optimized to find an output labeled image. In the embodiment, the energy function comprises terms that depend on at least one non-local parameter. For example, the non-local parameter describes characteristics of image elements having the same label. In an embodiment the global optimization is achieved in a practical, efficient manner by using a tree structure to represent candidate values of the non-local parameter and by using a branch and bound process. In some embodiments, the branch and bound process comprises evaluating a lower bound of the energy function by using a min-cut process. For example, the min-cut process enables the lower bound to be evaluated efficiently using a graphical data structure to represent the lower bound.
摘要翻译：描述了自动标记数字图像的图像元素的图像处理系统。在一个实施例中，描述图像的可能标记的质量的能量函数被全局优化以找到输出标记图像。在该实施例中，能量函数包括依赖于至少一个非局部参数的项。例如，非本地参数描述具有相同标签的图像元素的特征。在一个实施例中，通过使用树结构来表示非局部参数的候选值并且通过使用分支和绑定过程，以实用，有效的方式实现全局优化。在一些实施例中，分支和绑定过程包括通过使用最小切割过程来评估能量函数的下限。例如，最小切割过程使得能够使用图形数据结构有效地评估下限来表示下限。

4. 发明申请

US20090284611A1 Transferring of Digital Images 有权
标题翻译：数字图像传输
公开(公告)号：US20090284611A1
公开(公告)日：2009-11-19
申请号：US12096305
申请日：2006-11-24
申请人： Kenneth Wood , Stephen Hodges , Lyndsay Williams , Mitchel Goldberg , Carsten Rother , Antonio Criminisi , James Srinivasan
发明人： Kenneth Wood , Stephen Hodges , Lyndsay Williams , Mitchel Goldberg , Carsten Rother , Antonio Criminisi , James Srinivasan
IPC分类号： H04N5/232
CPC分类号： H04N1/33353 , H04N1/00204 , H04N1/00307 , H04N1/32 , H04N2101/00 , H04N2201/0049 , H04N2201/0055
摘要： A method of transferring images from a first device to a second device and computer program code for performing this method is described. A connection characteristic for a connection between the first & second devices is determined and at least one image is selected from a plurality of images on the first device for transfer dependent upon both the connection characteristic and image selection criteria. The selected image(s) are then transferred over the connection from the first device to the second device.
摘要翻译：描述了将图像从第一设备传送到第二设备的方法以及用于执行该方法的计算机程序代码。确定第一和第二设备之间的连接的连接特性，并且取决于连接特性和图像选择标准两者，从用于传送的第一设备上的多个图像中选择至少一个图像。所选择的图像然后通过连接从第一设备传输到第二设备。

5. 发明申请

US20080317386A1 Playback of Digital Images 有权
标题翻译：数字图像的播放
公开(公告)号：US20080317386A1
公开(公告)日：2008-12-25
申请号：US12096281
申请日：2006-11-16
申请人： Kenneth Wood , Stephen Hodges , Lyndsay Williams , James Srinivasan , Carsten Rother , Antonio Criminisi
发明人： Kenneth Wood , Stephen Hodges , Lyndsay Williams , James Srinivasan , Carsten Rother , Antonio Criminisi
IPC分类号： G06K9/54 , G06F17/00
CPC分类号： G06F17/30274 , G06F3/016 , G06F3/0481 , H04N1/00127 , H04N1/00442 , H04N1/00448 , H04N1/00458 , H04N1/00488 , H04N2201/3261
摘要： A method of displaying digital images is described in which a display length indicator is received and digital images are accessed. A set of digital images are selected from the accessed digital images in accordance with the display length indicator and displayed in a predetermined order. The method may be performed by a computer program, which may be embodied on a computer readable medium.
摘要翻译：描述显示数字图像的方法，其中接收显示长度指示符并访问数字图像。根据显示长度指示器从所访问的数字图像中选择一组数字图像，并以预定顺序显示。该方法可以由可以在计算机可读介质上体现的计算机程序来执行。

6. 发明申请

US20080310743A1 Optimizing Pixel Labels for Computer Vision Applications 有权
标题翻译：优化计算机视觉应用的像素标签
公开(公告)号：US20080310743A1
公开(公告)日：2008-12-18
申请号：US11764002
申请日：2007-06-15
申请人： Carsten Rother , Victor Lempitsky , Vladimir Kolmogorov
发明人： Carsten Rother , Victor Lempitsky , Vladimir Kolmogorov
IPC分类号： G06K9/36
CPC分类号： G06K9/38 , G06T7/11 , G06T7/143
摘要： Computer vision applications often require each pixel within an image to be assigned one of a set of labels. A method of improving the labels assigned to pixels is described which uses the quadratic pseudoboolean optimization (QPBO) algorithm. Starting with a partially labeled solution, an unlabeled pixel is assigned a value from a fully labeled reference solution and the energy of the partially labeled solution plus this additional pixel is calculated. The calculated energy is then used to generate a revised partially labeled solution using QPBO.
摘要翻译：计算机视觉应用程序通常需要将图像中的每个像素分配给一组标签之一。描述了改进分配给像素的标签的方法，其使用二次伪布尔优化（QPBO）算法。从部分标记的解决方案开始，将未标记的像素从完全标记的参考解决方案中分配一个值，并计算部分标记溶液的能量加上该附加像素。然后计算的能量用于使用QPBO产生修正的部分标记溶液。

7. 发明申请

US20080069438A1 Identifying Repeated-Structure Elements in Images 有权
标题翻译：识别图像中的重复结构元素
公开(公告)号：US20080069438A1
公开(公告)日：2008-03-20
申请号：US11533297
申请日：2006-09-19
申请人： John Winn , Anitha Kannan , Carsten Rother
发明人： John Winn , Anitha Kannan , Carsten Rother
IPC分类号： G06K9/62
CPC分类号： G06K9/4638
摘要： Many problems in the fields of image processing and computer vision relate to creating good representations of information in images of objects in scenes. We provide a system for learning repeated-structure elements from one or more input images. The repeated-structure elements are patches that may be single pixels or coherent groups of pixels of varying shape, size and appearance (where those shapes and sizes are not pre-specified). Input images are mapped to a single output image using offset maps to specify the mapping. A joint probability distribution on the offset maps, output image and input images is specified and an unsupervised learning process is used to learn the offset maps and output image. The learnt output image comprises repeated-structure elements. This shape and appearance information captured in the learnt repeated-structure elements may be used for object recognition and many other tasks.
摘要翻译：图像处理和计算机视觉领域的许多问题涉及在场景中的对象的图像中创建信息的良好表示。我们提供一个用于从一个或多个输入图像学习重复结构元素的系统。重复结构元素是可以是单个像素或具有不同形状，大小和外观（其中这些形状和尺寸未被预先指定）的像素的相干组的补丁。使用偏移映射将输入图像映射到单个输出图像以指定映射。指定偏移图，输出图像和输入图像上的联合概率分布，并使用无监督的学习过程来学习偏移图和输出图像。所学习的输出图像包括重复结构元素。在学习的重复结构元素中捕获的这种形状和外观信息可以用于对象识别和许多其他任务。

8. 发明申请

US20050271273A1 Foreground extraction using iterated graph cuts 有权
标题翻译：使用迭代图切割的前景提取
公开(公告)号：US20050271273A1
公开(公告)日：2005-12-08
申请号：US10861771
申请日：2004-06-03
申请人： Andrew Blake , Carsten Rother , Padmanabhan Anandan
发明人： Andrew Blake , Carsten Rother , Padmanabhan Anandan
IPC分类号： G06K9/00 , G06K9/34 , G06T5/00
CPC分类号： G06K9/342 , G06K9/00624 , G06K2209/015 , G06T7/11 , G06T7/162 , G06T7/194 , G06T2207/20072 , G06T2207/20104
摘要： Techniques are disclosed to provide more efficient and improved extraction of a portion of a scene without requiring excessive user interaction. More particularly, the extraction may be achieved by using iterated graph cuts. In an implementation, a method includes segmenting an image into a foreground portion and a background portion (e.g., where an object or desired portion to be extracted is present in the foreground portion). The method determines the properties corresponding to the foreground and background portions of the image. Distributions may be utilized to model the foreground and background properties. The properties may be color in one implementation and the distributions may be a Gaussian Mixture Model in another implementation. The foreground and background properties are updated based on the portions. And, the foreground and background portions are updated based on the updated foreground and background properties.
摘要翻译：公开了技术来提供对场景的一部分的更有效和改进的提取，而不需要过度的用户交互。更具体地，可以通过使用迭代图切割来实现提取。在一个实现中，一种方法包括将图像分割成前景部分和背景部分（例如，在前景部分中存在要提取的对象或期望部分的位置）。该方法确定与图像的前景和背景部分对应的属性。可以使用分布来建模前景和背景属性。在一个实现中，属性可以是颜色，并且在另一个实现中，分布可以是高斯混合模型。前景和背景属性将根据部分进行更新。并且，基于更新的前景和背景属性来更新前景和背景部分。

9. 发明授权

US08558917B2 Transferring of digital images 有权
标题翻译：传输数字图像
公开(公告)号：US08558917B2
公开(公告)日：2013-10-15
申请号：US12096305
申请日：2006-11-24
申请人： Kenneth Wood , Stephen Hodges , Lyndsay Williams , Mitch Goldberg , Carsten Rother , Antonio Criminisi , James Srinivasan
发明人： Kenneth Wood , Stephen Hodges , Lyndsay Williams , Mitch Goldberg , Carsten Rother , Antonio Criminisi , James Srinivasan
IPC分类号： H04N5/76 , H04N5/232 , H04W72/00 , H04W40/00 , H04W4/00 , G08C15/00
CPC分类号： H04N1/33353 , H04N1/00204 , H04N1/00307 , H04N1/32 , H04N2101/00 , H04N2201/0049 , H04N2201/0055
摘要： A method of transferring images from a first device to a second device and computer program code for performing this method is described. A connection characteristic for a connection between the first & second devices is determined and at least one image is selected from a plurality of images on the first device for transfer dependent upon both the connection characteristic and image selection criteria. The selected image(s) are then transferred over the connection from the first device to the second device.
摘要翻译：描述了将图像从第一设备传送到第二设备的方法以及用于执行该方法的计算机程序代码。确定第一和第二设备之间的连接的连接特性，并且取决于连接特性和图像选择标准两者，从用于传送的第一设备上的多个图像中选择至少一个图像。所选择的图像然后通过连接从第一设备传输到第二设备。

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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