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    Stereo image processing using contours
    2.
    发明授权
    Stereo image processing using contours 有权
    使用轮廓的立体图像处理

    公开(公告)号：US09269018B2

    公开(公告)日：2016-02-23

    申请号：US14154825

    申请日：2014-01-14

    Applicant: Microsoft Corporation

    Inventor： David Kim ,  Shahram Izadi ,  Christoph Rhemann ,  Christopher Zach

    IPC: G06K9/48 ,  G06K9/46 ,  G06T7/00

    CPC classification number: G06K9/4638 ,  G06T7/593 ,  G06T2200/04 ,  G06T2207/10028 ,  G06T2210/12 ,  H04N13/128 ,  H04N2013/0081

    Abstract: A computer-implemented stereo image processing method which uses contours is described. In an embodiment, contours are extracted from two silhouette images captured at substantially the same time by a stereo camera of at least part of an object in a scene. Stereo correspondences between contour points on corresponding scanlines in the two contour images (one corresponding to each silhouette image in the stereo pair) are calculated on the basis of contour point comparison metrics, such as the compatibility of the normal of the contours and/or a distance along the scanline between the point and a centroid of the contour. A corresponding system is also described.

    Abstract translation: 描述了使用轮廓的计算机实现的立体图像处理方法。 在一个实施例中，从场景中的对象的至少一部分的立体照相机在基本上同时捕获的两个轮廓图像中提取轮廓。 基于轮廓点比较度量来计算两个轮廓图像中的相应扫描线上的轮廓点之间的立体声对应（一个对应于立体对中的每个轮廓图像），例如轮廓线的法线和/或 点与轮廓的质心之间的扫描线的距离。 还描述了相应的系统。

    Stereo Image Matching
    3.
    发明申请
    Stereo Image Matching 审中-公开
    立体图像匹配

    公开(公告)号：US20140192158A1

    公开(公告)日：2014-07-10

    申请号：US13733911

    申请日：2013-01-04

    Applicant: MICROSOFT CORPORATION

    Inventor： Oliver Whyte ,  Adam G. Kirk ,  Shahram Izadi ,  Carsten Rother ,  Michael Bleyer ,  Christoph Rhemann

    IPC: G06K9/62 ,  H04N13/02

    CPC classification number: G06K9/6201 ,  G06T7/593 ,  G06T2207/10012 ,  H04N13/20

    Abstract: The description relates to stereo image matching to determine depth of a scene as captured by images. More specifically, the described implementations can involve a two-stage approach where the first stage can compute depth at highly accurate but sparse feature locations. The second stage can compute a dense depth map using the first stage as initialization. This improves accuracy and robustness of the dense depth map.

    Abstract translation: 该描述涉及立体图像匹配以确定由图像捕获的场景的深度。 更具体地，所描述的实现可以涉及两阶段方法，其中第一阶段可以在高精度但稀疏的特征位置处计算深度。 第二阶段可以使用第一阶段作为初始化来计算密集的深度图。 这提高了密集深度图的精度和鲁棒性。

    REAL TIME STEREO MATCHING
    5.
    发明申请
    REAL TIME STEREO MATCHING 审中-公开
    实时立体匹配

    公开(公告)号：US20140241612A1

    公开(公告)日：2014-08-28

    申请号：US13775179

    申请日：2013-02-23

    Applicant: MICROSOFT CORPORATION

    Inventor： Christoph Rhemann ,  Carsten Curt Eckard Rother ,  Christopher Zach ,  Shahram Izadi ,  Adam Garnet Kirk ,  Oliver Whyte ,  Michael Bleyer

    IPC: G06T7/00

    CPC classification number: G06T7/593 ,  G06T7/521 ,  G06T2207/10021 ,  G06T2207/10024 ,  G06T2207/10048 ,  H04N2013/0081

    Abstract: Real-time stereo matching is described, for example, to find depths of objects in an environment from an image capture device capturing a stream of stereo images of the objects. For example, the depths may be used to control augmented reality, robotics, natural user interface technology, gaming and other applications. Streams of stereo images, or single stereo images, obtained with or without patterns of illumination projected onto the environment are processed using a parallel-processing unit to obtain depth maps. In various embodiments a parallel-processing unit propagates values related to depth in rows or columns of a disparity map in parallel. In examples, the values may be propagated according to a measure of similarity between two images of a stereo pair; propagation may be temporal between disparity maps of frames of a stream of stereo images and may be spatial within a left or right disparity map.

    Abstract translation: 描述了实时立体匹配，例如，从捕获物体的立体图像流的图像捕获设备中查找环境中的物体的深度。 例如，深度可以用于控制增强现实，机器人，自然界面技术，游戏和其他应用。 使用或不使用投影到环境上的照明图案获得的立体图像或单个立体图像的流被使用并行处理单元来处理以获得深度图。 在各种实施例中，并行处理单元并行地传播与视差图的行或列相关的深度值。 在示例中，可以根据立体对的两个图像之间的相似度的度量来传播值; 传播可以是立体图像流的帧的视差图之间的时间，并且可以在左视差图或右视差图内是空间的。

    ACTIVE STEREO WITH ADAPTIVE SUPPORT WEIGHTS FROM A SEPARATE IMAGE
    6.
    发明申请
    ACTIVE STEREO WITH ADAPTIVE SUPPORT WEIGHTS FROM A SEPARATE IMAGE 审中-公开
    具有自适应支持权重的主动立体声从单独的图像

    公开(公告)号：US20140307047A1

    公开(公告)日：2014-10-16

    申请号：US13924464

    申请日：2013-06-21

    Applicant: Microsoft Corporation

    Inventor： Adam G. Kirk ,  Christoph Rhemann ,  Oliver A. Whyte ,  Shahram Izadi ,  Sing Bing Kang

    IPC: H04N13/02 ,  H04N5/33

    Abstract: The subject disclosure is directed towards stereo matching based upon active illumination, including using a patch in a non-actively illuminated image to obtain weights that are used in patch similarity determinations in actively illuminated stereo images. To correlate pixels in actively illuminated stereo images, adaptive support weights computations may be used to determine similarity of patches corresponding to the pixels. In order to obtain meaningful adaptive support weights for the adaptive support weights computations, weights are obtained by processing a non-actively illuminated (“clean”) image.

    Abstract translation: 主题公开涉及基于主动照明的立体匹配，包括使用非主动照明图像中的贴片来获得用于主动照明立体图像中的贴片相似性确定中的权重。 为了使主动照明的立体图像中的像素相关联，可以使用自适应支持权重计算来确定与像素相对应的片段的相似度。 为了获得自适应支持权重计算的有意义的自适应支持权重，通过处理非主动照明（“干净”）图像获得权重。

    ENVIRONMENT-DEPENDENT ACTIVE ILLUMINATION FOR STEREO MATCHING
    8.
    发明申请
    ENVIRONMENT-DEPENDENT ACTIVE ILLUMINATION FOR STEREO MATCHING 审中-公开
    环境依赖的有源照明用于立体匹配

    公开(公告)号：US20150229915A1

    公开(公告)日：2015-08-13

    申请号：US14176064

    申请日：2014-02-08

    Applicant: Microsoft Corporation

    Inventor： Adam G. Kirk ,  Christoph Rhemann ,  Oliver A. Whyte ,  Shahram Izadi ,  Sing Bing Kang ,  Andreas Georgiou

    IPC: H04N13/04 ,  H04N5/33 ,  H04N9/31

    CPC classification number: H04N13/363 ,  G01B11/167 ,  H04N5/33 ,  H04N9/3179

    Abstract: The subject disclosure is directed towards controlling the intensity of illumination of a scene or part of a scene, including to conserve illumination power. Quality of depth data in stereo images may be measured with different illumination states; environmental conditions, such as ambient light, natural texture may affect the quality. The illumination intensity may be controllably varied to obtain sufficient quality while conserving power. The control may be directed to one or more regions of interest corresponding to an entire scene or part of a scene.

    Abstract translation: 主题公开旨在控制场景或场景的一部分的照明强度，包括节省照明功率。 可以用不同的照明状态来测量立体图像中的深度数据的质量; 环境条件，如环境光，自然纹理可能会影响质量。 可以可控地改变照明强度以在节省电力的同时获得足够的质量。 控制可以被引导到与整个场景或场景的一部分相对应的一个或多个感兴趣区域。

    STEREO IMAGE PROCESSING USING CONTOURS
    9.
    发明申请
    STEREO IMAGE PROCESSING USING CONTOURS 有权
    使用轮廓的立体图像处理

    公开(公告)号：US20150199588A1

    公开(公告)日：2015-07-16

    申请号：US14154825

    申请日：2014-01-14

    Applicant: Microsoft Corporation

    Inventor： David Kim ,  Shahram Izadi ,  Christoph Rhemann ,  Christopher Zach

    IPC: G06K9/46 ,  G06T7/00

    CPC classification number: G06K9/4638 ,  G06T7/593 ,  G06T2200/04 ,  G06T2207/10028 ,  G06T2210/12 ,  H04N13/128 ,  H04N2013/0081

    Abstract: A computer-implemented stereo image processing method which uses contours is described. In an embodiment, contours are extracted from two silhouette images captured at substantially the same time by a stereo camera of at least part of an object in a scene. Stereo correspondences between contour points on corresponding scanlines in the two contour images (one corresponding to each silhouette image in the stereo pair) are calculated on the basis of contour point comparison metrics, such as the compatibility of the normal of the contours and/or a distance along the scanline between the point and a centroid of the contour. A corresponding system is also described.

    Abstract translation: 描述了使用轮廓的计算机实现的立体图像处理方法。 在一个实施例中，从场景中的对象的至少一部分的立体照相机在基本上同时捕获的两个轮廓图像中提取轮廓。 基于轮廓点比较度量来计算两个轮廓图像中的相应扫描线上的轮廓点之间的立体声对应（一个对应于立体对中的每个轮廓图像），例如轮廓线的法线和/或 点与轮廓的质心之间的扫描线的距离。 还描述了相应的系统。

    REAL-TIME THREE-DIMENSIONAL RECONSTRUCTION OF A SCENE FROM A SINGLE CAMERA
    10.
    发明申请
    REAL-TIME THREE-DIMENSIONAL RECONSTRUCTION OF A SCENE FROM A SINGLE CAMERA 有权
    从单个摄像机实时三维重建场景

    公开(公告)号：US20150279083A1

    公开(公告)日：2015-10-01

    申请号：US14226732

    申请日：2014-03-26

    Applicant: Microsoft Corporation

    Inventor： Vivek Pradeep ,  Christoph Rhemann ,  Shahram Izadi ,  Christopher Zach ,  Michael Bleyer ,  Steven Bathiche

    IPC: G06T15/08 ,  G06T7/00 ,  G06T19/00

    CPC classification number: G06T7/337 ,  G06T7/593 ,  G06T17/00 ,  G06T2207/10016 ,  G06T2207/30244

    Abstract: A combination of three computational components may provide memory and computational efficiency while producing results with little latency, e.g., output can begin with the second frame of video being processed. Memory usage may be reduced by maintaining key frames of video and pose information for each frame of video. Additionally, only one global volumetric structure may be maintained for the frames of video being processed. To be computationally efficient, only depth information may be computed from each frame. Through fusion of multiple depth maps from different frames into a single volumetric structure, errors may average out over several frames, leading to a final output with high quality.

    Abstract translation: 三个计算组件的组合可以提供存储器和计算效率，同时产生具有很小延迟的结果，例如，输出可以从正在处理的视频的第二帧开始。 可以通过维护每帧视频的视频和姿势信息的关键帧来减少存储器的使用。 另外，对于正在处理的视频帧，可以仅保持一个全局体积结构。 为了计算效率，可以从每个帧计算深度信息。 通过将来自不同帧的多个深度图融合到单个体积结构中，错误可以平均超过几帧，导致最终输出具有高质量。

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