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公开(公告)号：US20150242674A1
公开(公告)日：2015-08-27
申请号：US14617985
申请日：2015-02-10
申请人： Google Inc.
发明人： Mustaq Ahmed , James Rose , James Jeffrey Shuma
CPC分类号： G06K9/6204 , G01C21/32 , G06K9/00637 , G06T11/203 , G06T17/05
摘要： In one aspect, a computer-implemented method for conflating a base dataset with a secondary dataset may generally include defining a locker boundary around each of a plurality of base polylines of the base dataset and identifying a plurality of initial matched segments and a plurality of initial mismatched segments for a plurality of secondary polylines of the secondary dataset, wherein each portion of the secondary polylines that is included within a locker boundary is defined as an initial matched segment and each portion of the secondary polylines that is not included within a locker boundary is defined as an initial mismatched segment. The method may also include identifying an offset parameter defined between a first initial matched segment and its corresponding base polyline using a three-vertex approximation and, if the offset parameter exceeds a predetermined offset threshold, defining the first initial matched segment as a mismatched segment.
摘要翻译： 一方面，用于将基础数据集与次要数据集合的计算机实现的方法通常可以包括围绕基本数据集的多个基本折线的每一个定义更衣室边界，并且识别多个初始匹配段和多个初始匹配段 辅助数据集的多个辅助折线的不匹配的段，其中包括在更衣室边界内的辅助折线的每个部分被定义为初始匹配段，并且不包括在更衣室边界内的辅助折线的每个部分是 定义为初始不匹配的段。 该方法还可以包括使用三顶点近似来识别在第一初始匹配段和其对应的基本折线之间定义的偏移参数，并且如果偏移参数超过预定偏移阈值，则将第一初始匹配段定义为不匹配段。
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公开(公告)号：US09208538B2
公开(公告)日：2015-12-08
申请号：US13671493
申请日：2012-11-07
申请人： Google Inc.
发明人： James Jeffrey Shuma
CPC分类号： G06T3/60 , G06F3/048 , G06K9/00 , G06K9/00637 , G06K9/3275 , G06K9/4633 , G06T7/70 , G06T11/60 , G09G2320/068
摘要： Methods for drawing a rotated rectangle on an electronic device are provided. In one aspect, a method includes receiving content configured for display and analyzing the content to identify a skew angle associated with the content. The method also includes receiving an input request to draw a rectangle overlaid upon the content, and providing, for display, the rectangle overlaid upon the content based upon the input request, the rectangle rotated according to the skew angle. Systems and machine-readable media are also provided.
摘要翻译： 提供了在电子设备上绘制旋转的矩形的方法。 一方面，一种方法包括接收被配置用于显示和分析内容以识别与内容相关联的偏斜角度的内容。 该方法还包括接收用于绘制覆盖在内容上的矩形的输入请求，并根据输入请求提供叠加在内容上的矩形，根据倾斜角旋转矩形。 还提供系统和机器可读介质。
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公开(公告)号：US09626593B2
公开(公告)日：2017-04-18
申请号：US14617985
申请日：2015-02-10
申请人： Google Inc.
发明人： Mustaq Ahmed , James Rose , James Jeffrey Shuma
CPC分类号： G06K9/6204 , G01C21/32 , G06K9/00637 , G06T11/203 , G06T17/05
摘要： In one aspect, a computer-implemented method for conflating a base dataset with a secondary dataset may generally include defining a locker boundary around each of a plurality of base polylines of the base dataset and identifying a plurality of initial matched segments and a plurality of initial mismatched segments for a plurality of secondary polylines of the secondary dataset, wherein each portion of the secondary polylines that is included within a locker boundary is defined as an initial matched segment and each portion of the secondary polylines that is not included within a locker boundary is defined as an initial mismatched segment. The method may also include identifying an offset parameter defined between a first initial matched segment and its corresponding base polyline using a three-vertex approximation and, if the offset parameter exceeds a predetermined offset threshold, defining the first initial matched segment as a mismatched segment.
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公开(公告)号：US09310211B1
公开(公告)日：2016-04-12
申请号：US14474033
申请日：2014-08-29
申请人： Google Inc.
IPC分类号： G01C21/34
CPC分类号： G01C21/34 , G01C21/3415 , G01C21/3438 , G01C21/3484
摘要： Embodiments relate to determining commute routes and clustering commute routes from a user's location history. Points in the user's location history may be clustered to find the user's home and work locations. Additionally, points along the user's commute may be identified to determine the user's typical commute. Similar commutes can be clustered together, and used to suggest various services to the user.
摘要翻译： 实施例涉及从用户的位置历史确定通勤路线和聚集通勤路线。 用户位置记录中的点可能会聚集，以查找用户的家庭和工作地点。 此外，可以识别沿用户通勤的点以确定用户的典型通勤。 类似的通勤可以集中在一起，并用于向用户建议各种服务。
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