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    • 1. 发明申请
    • CONTOUR-BASED CLASSIFICATION OF OBJECTS
    • 基于轮廓的对象分类
    • US20150199592A1
    • 2015-07-16
    • US14154368
    • 2014-01-14
    • Microsoft Corporation
    • David KimCem KeskinJamie Daniel Joseph ShottonShahram Izadi
    • G06K9/62G06K9/46
    • G06K9/6267G06K9/00389G06K9/4604G06K9/48G06K9/6282
    • Described herein is a contour-based method of classifying an item, such as a physical object or pattern. In an example method, a one-dimensional (1D) contour signal is received for an object. The one-dimensional contour signal comprises a series of 1D or multi-dimensional data points (e.g. 3D data points) that represent the contour (or outline of a silhouette) of the object. This 1D contour can be unwrapped to form a line, unlike for example, a two-dimensional signal such as an image. Some or all of the data points in the 1D contour signal are individually classified using a classifier which uses contour-based features. The individual classifications are then aggregated to classify the object and/or part(s) thereof. In various examples, the object is an object depicted in an image.
    • 这里描述的是对诸如物理对象或图案之类的物品进行分类的基于轮廓的方法。 在一个示例方法中,为一个对象接收一维(1D)轮廓信号。 一维轮廓信号包括表示对象的轮廓(或轮廓的轮廓)的一系列1D或多维数据点(例如,3D数据点)。 该1D轮廓可以被展开以形成线,例如不像二维信号,例如图像。 1D轮廓信号中的一些或全部数据点使用基于轮廓的特征的分类器进行单独分类。 然后聚合各个分类以对对象和/或其部分进行分类。 在各种示例中,对象是图像中描绘的对象。