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    Object identification using 3-D curve matching
    2.
    发明授权
    Object identification using 3-D curve matching 有权

    公开(公告)号：US09690977B2

    公开(公告)日：2017-06-27

    申请号：US14794608

    申请日：2015-07-08

    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

    Inventor： Richard Szeliski ,  Edward Hsiao ,  Sudipta Sinha ,  Krishnan Ramnath ,  Charles Zitnick ,  Simon Baker

    IPC: G06K9/00 ,  G06T7/564

    CPC classification number: G06K9/00214 ,  G06K9/00785 ,  G06T7/564 ,  G06T2207/30236

    Abstract: The claimed subject matter provides for systems and/or methods for identification of instances of an object of interest in 2D images by creating a database of 3D curve models of each desired instance and comparing an image of an object of interest against such 3D curve models of instances. The present application describes identifying and verifying the make and model of a car from a possibly single image—after the models have been populated with training data of test images of many makes and models of cars. In one embodiment, an identification system may be constructed by generating a 3D curve model by back-projecting edge points onto a visual hull reconstruction from silhouettes of an instance. The system and methods employ chamfer distance and orientation distance provides reasonable verification performance, as well as an appearance model for the taillights of the car to increase the robustness of the system.

    Matching text to images
    3.
    发明授权
    Matching text to images 有权
    匹配文字到图像

    公开(公告)号：US09183436B2

    公开(公告)日：2015-11-10

    申请号：US13959724

    申请日：2013-08-05

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Simon Baker ,  Dahua Lin ,  Anitha Kannan ,  Qifa Ke

    IPC: G06K9/62 ,  G06F17/00 ,  G06K9/00 ,  G06F17/30 ,  G06F17/27

    CPC classification number: G06K9/00456 ,  G06F17/2765 ,  G06F17/30265

    Abstract: Text in web pages or other text documents may be classified based on the images or other objects within the webpage. A system for identifying and classifying text related to an object may identify one or more web pages containing the image or similar images, determine topics from the text of the document, and develop a set of training phrases for a classifier. The classifier may be trained and then used to analyze the text in the documents. The training set may include both positive examples and negative examples of text taken from the set of documents. A positive example may include captions or other elements directly associated with the object, while negative examples may include text taken from the documents, but from a large distance from the object. In some cases, the system may iterate on the classification process to refine the results.

    Abstract translation: 可以基于网页内的图像或其他对象来对网页或其他文本文档中的文本进行分类。 用于识别和分类与对象相关的文本的系统可以识别包含图像或类似图像的一个或多个网页，从文档的文本确定主题，并且为分类器开发一组训练短语。 可以对分类器进行训练，然后用于分析文档中的文本。 训练集可能包括从该组文件中获取的文本的正面例子和否定的例子。 正面例子可以包括与对象直接相关联的标题或其他元素，而负面示例可以包括从文档中取出的文本，但是距离对象很远的距离。 在某些情况下，系统可能会对分类过程进行迭代以优化结果。

    OBJECT IDENTIFICATION USING 3-D CURVE MATCHING
    6.
    发明申请
    OBJECT IDENTIFICATION USING 3-D CURVE MATCHING 有权
    使用三维曲线匹配的对象标识

    公开(公告)号：US20150310257A1

    公开(公告)日：2015-10-29

    申请号：US14794608

    申请日：2015-07-08

    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

    Inventor： Richard Szeliski ,  Edward Hsiao ,  Sudipta Sinha ,  Krishnan Ramnath ,  Charles Zitnick ,  Simon Baker

    IPC: G06K9/00 ,  G06T7/00

    CPC classification number: G06K9/00214 ,  G06K9/00785 ,  G06T7/564 ,  G06T2207/30236

    Abstract: The claimed subject matter provides for systems and/or methods for identification of instances of an object of interest in 2D images by creating a database of 3D curve models of each desired instance and comparing an image of an object of interest against such 3D curve models of instances. The present application describes identifying and verifying the make and model of a car from a possibly single image—after the models have been populated with training data of test images of many makes and models of cars. In one embodiment, an identification system may be constructed by generating a 3D curve model by back-projecting edge points onto a visual hull reconstruction from silhouettes of an instance. The system and methods employ chamfer distance and orientation distance provides reasonable verification performance, as well as an appearance model for the taillights of the car to increase the robustness of the system.

    Abstract translation: 所要求保护的主题提供用于通过创建每个期望实例的3D曲线模型的数据库来识别2D图像中感兴趣对象的实例的系统和/或方法，并将感兴趣对象的图像与3D图像的3D曲线模型进行比较 实例。 本申请描述了从可能单个图像中识别和验证汽车的品牌和型号 - 在模型已经填充有许多车型和车型的测试图像的训练数据之后。 在一个实施例中，识别系统可以通过通过将边缘点反向投影到实例的轮廓的视觉船体重建上来生成3D曲线模型来构造。 系统和方法采用倒角距离和取向距离提供合理的验证性能，以及汽车尾灯的外观模型，以提高系统的鲁棒性。

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