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    LEARNING SYSTEMS AND METHODS
    1.
    发明申请
    LEARNING SYSTEMS AND METHODS 审中-公开
    学习系统与方法

    公开(公告)号：WO2015017796A3

    公开(公告)日：2015-04-02

    申请号：PCT/US2014049435

    申请日：2014-08-01

    Applicant: DIGIMARC CORP ,  MEYER JOEL R

    Inventor： RODRIGUEZ TONY F ,  ALATTAR OSAMA M ,  BRUNK HUGH L ,  CONWELL WILLIAM Y ,  KAMATH AJITH MULKI

    IPC: G06K9/00 ,  G06F21/16 ,  G06K9/32 ,  G06K9/62 ,  G06T1/00

    CPC classification number: G06T1/0021 ,  G06F21/16 ,  G06K9/00671 ,  G06K9/3216 ,  G06K9/6256 ,  G06K9/6259 ,  G06K9/627

    Abstract: A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements - some involving designing classifiers so as to combat classifier copying - are also detailed.

    Abstract translation: 描绘对象的图像序列例如通过零售商店中的销售点终端处的相机来捕获。 识别对象，例如通过从一个或多个图像检测到的条形码或水印。 一旦对象的身份被知道，这样的信息被用于训练分类器（例如，机器学习系统）以从其他捕获的图像识别对象，包括可能由于模糊，劣质照明等而降级的图像。在另一个 处理这种退化的图像以识别在对象的基于指纹的识别中有用的特征点。 从这种退化的图像提取的特征点有助于在现实生活环境下的对象的基于指纹的识别，与从原始图像提取的特征点（例如，包含用于这些对象的标签图案的数字文件）相反。 其他各种其他功能和安排 - 有些涉及设计分类器以打击分类器复制 - 也是详细的。

    LEARNING SYSTEMS AND METHODS
    3.
    发明申请
    LEARNING SYSTEMS AND METHODS 审中-公开
    学习系统和方法

    公开(公告)号：WO2015017796A2

    公开(公告)日：2015-02-05

    申请号：PCT/US2014/049435

    申请日：2014-08-01

    Applicant: DIGIMARC CORPORATION ,  MEYER, Joel, R.

    Inventor： RODRIGUEZ, Tony, F. ,  ALATTAR, Osama, M. ,  BRUNK, Hugh, L. ,  CONWELL, William, Y. ,  KAMATH, Ajith, Mulki

    IPC: G06K9/00

    CPC classification number: G06T1/0021 ,  G06F21/16 ,  G06K9/00671 ,  G06K9/3216 ,  G06K9/6256 ,  G06K9/6259 ,  G06K9/627

    Abstract: A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements - some involving designing classifiers so as to combat classifier copying - are also detailed.

    Abstract translation: 描绘对象的图像序列例如由零售商店中的销售点终端处的相机捕获。 该对象例如通过从一个或多个图像检测到的条形码或水印来识别。 一旦知道对象的身份，就将这些信息用于训练分类器（例如，机器学习系统）以从其他捕获的图像中识别对象，包括可能由于模糊，劣等照明等而降级的图像。在另一个 这种退化的图像被处理以识别对基于指纹的对象识别有用的特征点。 与从原始图像中提取的特征点（例如，包含这些对象的标签图形的数字文件）相比，从这种退化图像提取的特征点有助于在现实生活环境下基于指纹的对象识别。 其他特征和安排的种类也很多 - 有些涉及设计分类器以打击分类器复制 - 也有详细说明。

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