LANDMARKS FROM DIGITAL PHOTO COLLECTIONS
    1.
    发明申请

    公开(公告)号:US20180211134A1

    公开(公告)日:2018-07-26

    申请号:US15663796

    申请日:2017-07-30

    Applicant: Google Inc.

    Abstract: Methods and systems for automatic detection of landmarks in digital images and annotation of those images are disclosed. A method for detecting and annotating landmarks in digital images includes the steps of automatically assigning a tag descriptive of a landmark to one or more images in a plurality of text-associated digital images to generate a set of landmark-tagged images, learning an appearance model for the landmark from the set of landmark-tagged images, and detecting the landmark in a new digital image using the appearance model. The method can also include a step of annotating the new image with the tag descriptive of the landmark.

    FACE TEMPLATE BALANCING
    2.
    发明申请
    FACE TEMPLATE BALANCING 有权
    表面平衡平衡

    公开(公告)号:US20160283779A1

    公开(公告)日:2016-09-29

    申请号:US14334354

    申请日:2014-07-17

    Applicant: Google Inc.

    CPC classification number: G06K9/00241 G06K9/00288 G06K9/6254 G06K9/6255

    Abstract: Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.

    Abstract translation: 实现通常涉及面模板平衡。 在一些实现中,一种方法包括生成与各个图像相对应的面部模板。 该方法还包括基于脸部模板将图像与用户进行匹配。 该方法还包括接收一个或多个匹配图像是不匹配图像的确定。 该方法还包括将与一个或多个不匹配图像相对应的一个或多个面部模板标记为负面模板。

    FACE TEMPLATE BALANCING
    3.
    发明申请

    公开(公告)号:US20170091531A1

    公开(公告)日:2017-03-30

    申请号:US15287792

    申请日:2016-10-07

    Applicant: Google Inc.

    CPC classification number: G06K9/00241 G06K9/00288 G06K9/6254 G06K9/6255

    Abstract: Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.

    ASSOCIATING CLASSIFICATIONS WITH IMAGES
    4.
    发明申请
    ASSOCIATING CLASSIFICATIONS WITH IMAGES 有权
    与图像相关的分类

    公开(公告)号:US20140341476A1

    公开(公告)日:2014-11-20

    申请号:US14075424

    申请日:2013-11-08

    Applicant: Google Inc.

    CPC classification number: G06K9/6267 G06F17/30247 G06F17/3028

    Abstract: One or more devices may receive multiple images; determine one or more classifications for each of the multiple images; generate a confidence score for each classification of the one or more classifications for each of the multiple images. The confidence score may include a value between two numbers and may identify the likelihood that that a particular classification, of the one or more classifications, correctly corresponds to a particular image, of the multiple images. The confidence score may be based on information, associated with a user, and pixel-based classification information. The one or more devices may sort the multiple images by the one or more classifications and by corresponding confidence scores to form sorted multiple images; and provide the sorted multiple images.

    Abstract translation: 一个或多个设备可以接收多个图像; 确定多个图像中的每一个的一个或多个分类; 为每个多个图像的一个或多个分类的每个分类生成置信度分数。 置信度分数可以包括两个数之间的值,并且可以识别出一个或多个分类的特定分类与多个图像的特定图像正确对应的可能性。 可信度分数可以基于与用户相关联的信息和基于像素的分类信息。 一个或多个设备可以通过一个或多个分类和相应的置信分数对多个图像进行分类,以形成分类的多个图像; 并提供排序的多个图像。

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