Automatic connection of images using visual features
    2.
    发明授权
    Automatic connection of images using visual features 有权
    使用视觉特征自动连接图像

    公开(公告)号:US09551579B1

    公开(公告)日:2017-01-24

    申请号:US14821118

    申请日:2015-08-07

    Applicant: Google Inc.

    Abstract: Aspects of the disclosure relate generating navigation paths between images. A first image taken from a first location and a second image taken from a second location may be selected. A position of the first location in relation to the second location may be determined. First and second frames for the first and second images may be selected based on the position. First and second sets of visual features for each of the first and second image frames may be identified. Matching visual features between the first set of visual features and the second set of visual features may be determined. A confidence level for a line-of-sight between the first and second images may be determined by evaluating one or more positions of the matching visual features. Based on at least the confidence level, a navigation path from the first image to the second image is generated.

    Abstract translation: 本公开的方面涉及在图像之间生成导航路径。 可以选择从第一位置拍摄的第一图像和从第二位置拍摄的第二图像。 可以确定第一位置相对于第二位置的位置。 可以基于位置来选择第一和第二图像的第一和第二帧。 可以识别第一和第二图像帧中的每一个的第一和第二组视觉特征。 可以确定第一组视觉特征与第二组视觉特征之间的匹配视觉特征。 可以通过评估匹配的视觉特征的一个或多个位置来确定第一和第二图像之间的视线的置信度。 基于至少可信度水平,生成从第一图像到第二图像的导航路径。

    USING IMAGE FEATURES TO EXTRACT VIEWPORTS FROM IMAGES
    3.
    发明申请
    USING IMAGE FEATURES TO EXTRACT VIEWPORTS FROM IMAGES 有权
    使用图像功能从图像中提取视图

    公开(公告)号:US20150379086A1

    公开(公告)日:2015-12-31

    申请号:US14317639

    申请日:2014-06-27

    Applicant: Google Inc.

    CPC classification number: G06F17/30522 G06K9/3233

    Abstract: Aspects of the disclosure provide for selecting viewports. A viewport is a sub-portion of an image. For example, a request to select a viewport for a particular image may be received. A set of potential viewports are identified within the particular image, and features are identified within the viewports of the set of potential viewports. A score is calculated for each given viewport of the set of potential viewports based at least in part on a weight vector having a set of feature weights and the identified features within that given viewport of the set of potential viewports. A viewport of the set of potential viewports is selected based on the calculated scores. The selected viewport is then provided in response to the request to select the viewport for the particular image.

    Abstract translation: 本公开的方面提供了选择视口。 视口是图像的一个子部分。 例如,可以接收对特定图像选择视口的请求。 在特定图像内识别一组潜在的视口,并且在该组潜在视口的视口内识别特征。 至少部分地基于具有一组特征权重的权重向量以及该组潜在视口的给定视口内的所识别的特征,为该组潜在视口的每个给定视口计算得分。 根据计算的分数选择一组潜在视口的视口。 然后响应于为特定图像选择视口的请求而提供所选择的视口。

    Generating Representations of Interior Space

    公开(公告)号:US20180350216A1

    公开(公告)日:2018-12-06

    申请号:US14584108

    申请日:2014-12-29

    Applicant: Google Inc.

    Abstract: Systems and methods for generating or enhancing representations of an interior space using data collected by a device, such as a mobile device, capable of simultaneous localization and mapping. An electronic device, such as a mobile device, can be configured to collect data using a variety of sensors as the device is carried or transported through a space. The collected data can be processed and analyzed to generate geometry data providing a three-dimensional representation of the space and objects in the space in near real time as the device is carried through the space. The geometry data can be used for a variety of purposes, including generating and/or enhancing models and other representations of an interior space, and/or assisting with navigation through the interior space.

    Using image features to extract viewports from images
    5.
    发明授权
    Using image features to extract viewports from images 有权
    使用图像功能从图像中提取视口

    公开(公告)号:US09569498B2

    公开(公告)日:2017-02-14

    申请号:US14317639

    申请日:2014-06-27

    Applicant: Google Inc.

    CPC classification number: G06F17/30522 G06K9/3233

    Abstract: Aspects of the disclosure provide for selecting viewports. A viewport is a sub-portion of an image. For example, a request to select a viewport for a particular image may be received. A set of potential viewports are identified within the particular image, and features are identified within the viewports of the set of potential viewports. A score is calculated for each given viewport of the set of potential viewports based at least in part on a weight vector having a set of feature weights and the identified features within that given viewport of the set of potential viewports. A viewport of the set of potential viewports is selected based on the calculated scores. The selected viewport is then provided in response to the request to select the viewport for the particular image.

    Abstract translation: 本公开的方面提供了选择视口。 视口是图像的一个子部分。 例如,可以接收对特定图像选择视口的请求。 在特定图像内识别一组潜在的视口,并且在该组潜在视口的视口内识别特征。 至少部分地基于具有一组特征权重的权重向量以及该组潜在视口的给定视口内的所识别的特征,为该组潜在视口的每个给定视口计算得分。 根据计算的分数选择一组潜在视口的视口。 然后响应于为特定图像选择视口的请求而提供所选择的视口。

    AUTOMATIC CONNECTION OF IMAGES USING VISUAL FEATURES
    7.
    发明申请
    AUTOMATIC CONNECTION OF IMAGES USING VISUAL FEATURES 有权
    使用视觉特征的图像自动连接

    公开(公告)号:US20170038212A1

    公开(公告)日:2017-02-09

    申请号:US14821118

    申请日:2015-08-07

    Applicant: Google Inc.

    Abstract: Aspects of the disclosure relate generating navigation paths between images. A first image taken from a first location and a second image taken from a second location may be selected. A position of the first location in relation to the second location may be determined. First and second frames for the first and second images may be selected based on the position. First and second sets of visual features for each of the first and second image frames may be identified. Matching visual features between the first set of visual features and the second set of visual features may be determined. A confidence level for a line-of-sight between the first and second images may be determined by evaluating one or more positions of the matching visual features. Based on at least the confidence level, a navigation path from the first image to the second image is generated.

    Abstract translation: 本公开的方面涉及在图像之间生成导航路径。 可以选择从第一位置拍摄的第一图像和从第二位置拍摄的第二图像。 可以确定第一位置相对于第二位置的位置。 可以基于位置来选择第一和第二图像的第一和第二帧。 可以识别第一和第二图像帧中的每一个的第一和第二组视觉特征。 可以确定第一组视觉特征与第二组视觉特征之间的匹配视觉特征。 可以通过评估匹配的视觉特征的一个或多个位置来确定第一和第二图像之间的视线的置信度。 基于至少可信度水平,生成从第一图像到第二图像的导航路径。

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