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    Constructing contours from imagery
    2.
    发明授权
    Constructing contours from imagery 有权
    从图像构建轮廓

    公开(公告)号：US09286539B2

    公开(公告)日：2016-03-15

    申请号：US14177397

    申请日：2014-02-11

    申请人： Google Inc.

    发明人： Ilya Dmitriyevich Zharkov

    IPC分类号： G06K9/00 ,  G06K9/46

    CPC分类号： G06K9/4638 ,  G06K9/00637 ,  G06K9/342 ,  G06K2009/485

    摘要： Systems and methods for identifying contours of objects depicted in imagery are provided. A contour of an occluded object can be reconstructed based on a source contour extracted from an image and/or other geographic data. The source contour can be analyzed to identify a main contour direction for one or more points on the source contour. A plurality of rays can be extended from each of the one or more points based on the main contour direction associated with the point. A graph model can be constructed from the plurality of rays extended from the plurality of points. A path can be determined through the graph model and the contour can be constructed based at least in part on the determined path.

    摘要翻译： 提供了用于识别图像中描绘的对象轮廓的系统和方法。 可以基于从图像和/或其他地理数据提取的源轮廓来重建遮挡对象的轮廓。 可以分析源轮廓以识别源轮廓上的一个或多个点的主轮廓方向。 可以基于与点关联的主轮廓方向，从一个或多个点中的每一个延伸多个射线。 可以从从多个点延伸的多个光线构造图形模型。 可以通过图形模型确定路径，并且可以至少部分地基于所确定的路径构造轮廓。

    Method and apparatus for finding order in a time series of images using grenze sets comprising a plurality of gradient runs and vocabulary elements
    3.
    发明授权
    Method and apparatus for finding order in a time series of images using grenze sets comprising a plurality of gradient runs and vocabulary elements 有权
    用于使用包括多个梯度运算和词汇元素的格勒组来在时间序列图像中查找顺序的方法和装置

    公开(公告)号：US08326786B1

    公开(公告)日：2012-12-04

    申请号：US12487476

    申请日：2009-06-18

    申请人： Thomas Martel ,  John T. Freyhof

    发明人： Thomas Martel ,  John T. Freyhof

    IPC分类号： G06F15/00

    CPC分类号： G06K9/48 ,  G06K2009/485

    摘要： An apparatus and method is disclosed for acquiring an electronic image and forming at least one Grenze Set including pixels of the electronic image. A decision tree is used to apply vocabulary and rules associated with a primitive to evaluate pixels of the Grenze Set. The pixels of the Grenze Set are explained by re-building the Grenze Set using a set of sub-primitives. Higher order analysis are applied to the Grenze Set according to a ladder of abstraction to assemble pixels into at least one of objects or activities that are meaningful to a user.

    摘要翻译： 公开了一种用于获取电子图像并形成包括电子图像的像素的至少一个Grenze集的装置和方法。 决策树用于应用与原语相关联的词汇和规则，以评估Grenze集合的像素。 通过使用一组子图元重新构建Grenze集来解释Grenze集合的像素。 根据抽象梯子将高阶分析应用于Grenze集合，以将像素组装成对用户有意义的对象或活动中的至少一个。

    FABRICATION WITH IMAGE TRACING
    6.
    发明申请
    FABRICATION WITH IMAGE TRACING 审中-公开

    公开(公告)号：US20180150058A1

    公开(公告)日：2018-05-31

    申请号：US15823502

    申请日：2017-11-27

    申请人： Glowforge Inc.

    发明人： Daniel Shapiro

    IPC分类号： G05B19/4097 ,  G05B19/4093 ,  G06T7/40 ,  G06K9/46

    CPC分类号： G05B19/4097 ,  G05B19/4093 ,  G05B2219/35134 ,  G05B2219/36175 ,  G05B2219/45165 ,  G05B2219/45212 ,  G06K9/46 ,  G06K2009/485 ,  G06T7/40 ,  Y02P90/265

    摘要： A method may include generating, by a camera having a view of an interior portion of a computer-numerically-controlled machine, an image comprising a pattern. The image can be transformed into a set of machine instructions for controlling the computer-numerically-controlled machine to effect a change in a material. The change can correspond to at least a portion of the pattern. At least one machine instruction from the set of machine instructions can be executed to control the computer-numerically-controlled machine to effect at least a portion of the change. The execution can include operating, in accordance with the at least one machine instruction, a tool coupled with the computer-numerically-controlled machine. The tool can configured to effect the change on the material. Related systems and articles of manufacture, including computer program products, are also provided.

    IMAGE RECOGNITION APPARATUS, IMAGE RECOGNITION SYSTEM, AND IMAGE RECOGNITION METHOD
    7.
    发明申请
    IMAGE RECOGNITION APPARATUS, IMAGE RECOGNITION SYSTEM, AND IMAGE RECOGNITION METHOD 审中-公开

    公开(公告)号：US20180039858A1

    公开(公告)日：2018-02-08

    申请号：US15600741

    申请日：2017-05-21

    申请人： Renesas Electronics Corporation

    发明人： Akira UTAGAWA ,  Takaaki SATO ,  Atsushi NAKAMURA ,  Manabu KOIKE ,  Masaya ITOH

    IPC分类号： G06K9/62 ,  G06F17/30 ,  G06K9/46

    CPC分类号： G06K9/6212 ,  G06F16/5838 ,  G06K9/00791 ,  G06K9/4609 ,  G06K9/4642 ,  G06K9/4652 ,  G06K9/6255 ,  G06K9/68 ,  G06K2009/4666 ,  G06K2009/485

    摘要： An image recognition apparatus 100 includes a gradient feature computation unit 120 configured to calculate, from an image divided into a plurality of blocks, gradient feature values for each of the plurality of blocks, a combination pattern storage unit 160 configured to store a plurality of combination patterns of the gradient feature values, and a co-occurrence feature computation unit 131 configured to calculate a co-occurrence feature value in a plurality of blocks for each of the plurality of combination patterns. Further, image recognition apparatus 100 includes an arithmetic computation unit 132 configured to calculate an addition value by adding the co-occurrence feature value calculated for each of the plurality of blocks for each of the plurality of combination patterns, a statistical data generation unit 140 configured to generate statistical data from the addition value. Further, image recognition apparatus 100 includes an image recognition computation unit configured to define a window having a predetermined size for the image and recognize whether or not a predetermined image is included in the window based on the statistical data within the window.