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    • 22. 发明授权
    • Image segmentation using star-convexity constraints
    • 使用星形凸度约束的图像分割
    • US08498481B2
    • 2013-07-30
    • US12776082
    • 2010-05-07
    • Andrew BlakeVarun GulshanCarsten RotherAntonio Criminisi
    • Andrew BlakeVarun GulshanCarsten RotherAntonio Criminisi
    • G06K9/34
    • G06T7/11G06T7/194G06T2207/20101G06T2207/20168
    • 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.
    • 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。
    • 24. 发明申请
    • Image Blending
    • 图像混合
    • US20090129700A1
    • 2009-05-21
    • US11997033
    • 2006-07-28
    • Carsten RotherVladimir KolmogorovAndrew Blake
    • Carsten RotherVladimir KolmogorovAndrew Blake
    • G06K9/36
    • G06T11/00
    • Previously, Poisson blending has been used for image blending including cloning an object onto a target background and blending pairs of source images together. Such Poisson blending works well in many situations. However, whilst this method is always workable, we have found that discolorations sometimes occur. We realized that these discolorations occur when the gradient of the source image is preserved too insistently, at the expense of preserving object and background color. In some situations object outlines become smeared or blurred. We develop a color preservation term and a fragility measure to address these problems. This gives a user additional control to obtain smooth compositions and reduce discoloration artifacts.
    • 以前,Poisson混合已被用于图像混合,包括将对象克隆到目标背景上,并将一组源图像混合在一起。 这种泊松混合在许多情况下运作良好。 然而,虽然这种方法总是可行的,但我们发现有时会发生变色。 我们意识到,当源图像的梯度太保守地保留对象和背景色的代价时,会发生这些变色。 在某些情况下,对象轮廓变得模糊或模糊。 我们开发一个保色术语和一个脆弱的措施来解决这些问题。 这给予用户额外的控制以获得平滑的组合物并减少变色伪影。
    • 25. 发明申请
    • Remote Workspace Sharing
    • 远程工作区共享
    • US20080184124A1
    • 2008-07-31
    • US11669107
    • 2007-01-30
    • Ankur AgarwalAntonio CriminisiWilliam BuxtonAndrew BlakeAndrew Fitzgibbon
    • Ankur AgarwalAntonio CriminisiWilliam BuxtonAndrew BlakeAndrew Fitzgibbon
    • G06F3/048
    • G06Q10/10H04N7/15
    • 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.
    • 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。
    • 28. 发明申请
    • Stereo-based image processing
    • US20060193509A1
    • 2006-08-31
    • US11066946
    • 2005-02-25
    • Antonio CriminisiAndrew BlakeGeoffrey Cross
    • Antonio CriminisiAndrew BlakeGeoffrey Cross
    • G06K9/00
    • G06K9/00241
    • Images of the same scene from multiple cameras may be use to generate a stereo disparity map. At least a portion of the stereo disparity map may be compared to a kernel image to detect and/or determine the location of an object in the disparity map. The kernel image is an array of pixel values which represent the stereo disparity of an object to be located, more particularly, the kernel image indicates the 3-dimensional surface shape of the object to be located from a point of view. The disparity map containing the located object may be process to manipulate the display of the stereo-based image and/or an input image. For example, the display of the image may be cropped and/or zoomed, areas of the image that are not the located object may be modified, an object such as an emoticon or smart-emoticon may be virtually inserted into the three dimensions of the image and may interact with the object, the location of the object in the image may localize further searches, presence of the located object in the image may indicate selected storing of the image and/or image indexing, and/or the located object in the image may be used as a non-standard input device to a computing system.
    • 29. 发明申请
    • Virtual image generation
    • 虚拟图像生成
    • US20050232510A1
    • 2005-10-20
    • US10826981
    • 2004-04-16
    • Andrew BlakeAntonio Criminisi
    • Andrew BlakeAntonio Criminisi
    • G06K9/00G06K9/32G06T5/50G06T7/00H04N13/00
    • G06T7/593G06T5/50G06T2207/10012H04N13/15H04N13/279
    • Artifacts are detected in a cyclopean virtual image generated from stereo images. A disparity map is generated from the stereo images. Individual projected images are determined based on the disparity map and the corresponding stereo images. A difference map is computed between the individual projected images to indicate the artifacts. A source patch in the virtual image is defined relative to an artifact. A replacement target patch is generated using a split-patch search technique as a composite of a background exemplar patch and a foreground exemplar patch. Each exemplar patch may be identified from an image patch selected from at least one of the stereo images. The source patch of the virtual image is replaced by the replacement target patch to correct the detected artifact.
    • 在从立体图像生成的环形虚拟图像中检测人造物。 从立体图像生成视差图。 基于视差图和对应的立体图像确定个体投影图像。 在各个投影图像之间计算差异图,以指示伪像。 虚拟映像中的源补丁是相对于工件定义的。 使用分割补丁搜索技术来生成替换目标补丁作为背景示例补丁和前景示例补丁的组合。 可以从选自至少一个立体图像的图像补丁来识别每个示例性补丁。 虚拟映像的源修补程序将替换为替换目标修补程序,以更正检测到的伪像。