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1. 发明授权

US08189925B2 Geocoding by image matching 有权
标题翻译：通过图像匹配进行地理编码
公开(公告)号：US08189925B2
公开(公告)日：2012-05-29
申请号：US12478569
申请日：2009-06-04
申请人： Michael Kroepfl , Eyal Ofek , Yonatan Wexler , Donald Wysocki , Gur Kimchi
发明人： Michael Kroepfl , Eyal Ofek , Yonatan Wexler , Donald Wysocki , Gur Kimchi
IPC分类号： G06K9/62 , G06K9/00 , G06K9/36
CPC分类号： G06K9/4671 , G06K9/00624 , G06K9/6211
摘要： Embodiments of the present invention relate to systems, methods and computer storage media for associating a known geographic location with a known identity. Feature matching, of at least two images, is performed in at least two iterations. The iterations are based on an orientation of feature vectors associated with points of interest in each image. A geometric model is applied to the matched points of interest to improve the matched pairs. Two images are identified as being related. As a result, the known geographic location is associated with the known identity. Additional embodiments include augmenting feature vectors with a coordinate location of a related point of interest based on a geometric model. Further, an exemplary embodiment includes an additional matching iteration based on the augmented feature vectors. In an exemplary embodiment, the feature matching utilizes a Scale-Invariant Feature Transform (SIFT).
摘要翻译：本发明的实施例涉及用于将已知地理位置与已知身份相关联的系统，方法和计算机存储介质。至少两个图像的特征匹配在至少两次迭代中执行。迭代基于与每个图像中的兴趣点相关联的特征向量的方向。将几何模型应用于匹配的兴趣点以改善匹配的对。两个图像被识别为相关。结果，已知的地理位置与已知身份相关联。附加实施例包括基于几何模型来增加具有相关兴趣点的坐标位置的特征向量。此外，示例性实施例包括基于增强特征向量的附加匹配迭代。在示例性实施例中，特征匹配利用尺度不变特征变换（SIFT）。

2. 发明申请

US20100310182A1 GEOCODING BY IMAGE MATCHING 有权
标题翻译：图像匹配
公开(公告)号：US20100310182A1
公开(公告)日：2010-12-09
申请号：US12478569
申请日：2009-06-04
申请人： Michael Kroepfl , Eyal Ofek , Yonatan Wexler , Donald Wysocki , Gur Kimchi
发明人： Michael Kroepfl , Eyal Ofek , Yonatan Wexler , Donald Wysocki , Gur Kimchi
IPC分类号： G06K9/62 , G06F17/30
CPC分类号： G06K9/4671 , G06K9/00624 , G06K9/6211
摘要： Embodiments of the present invention relate to systems, methods and computer storage media for associating a known geographic location with a known identity. Feature matching, of at least two images, is performed in at least two iterations. The iterations are based on an orientation of feature vectors associated with points of interest in each image. A geometric model is applied to the matched points of interest to improve the matched pairs. Two images are identified as being related. As a result, the known geographic location is associated with the known identity. Additional embodiments include augmenting feature vectors with a coordinate location of a related point of interest based on a geometric model. Further, an exemplary embodiment includes an additional matching iteration based on the augmented feature vectors. In an exemplary embodiment, the feature matching utilizes a Scale-Invariant Feature Transform (SIFT).
摘要翻译：本发明的实施例涉及用于将已知地理位置与已知身份相关联的系统，方法和计算机存储介质。至少两个图像的特征匹配在至少两次迭代中执行。迭代基于与每个图像中的兴趣点相关联的特征向量的方向。将几何模型应用于匹配的兴趣点以改善匹配的对。两个图像被识别为相关。结果，已知的地理位置与已知身份相关联。附加实施例包括基于几何模型来增加具有相关兴趣点的坐标位置的特征向量。此外，示例性实施例包括基于增强特征向量的附加匹配迭代。在示例性实施例中，特征匹配利用尺度不变特征变换（SIFT）。

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