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System and method for locating and performing fine grained classification from multi-view image data

机译:用于从多视图图像数据中定位和执行细粒度分类的系统和方法

摘要

Some embodiments of the invention provide a method for identifying geographic locations and for performing a fine-grained classification of elements detected in images captured from multiple different viewpoints or perspectives. In several embodiments, the method identifies the geographic locations by probabilistically combining predictions from the different viewpoints by warping their outputs to a common geographic coordinate frame. The method of certain embodiments performs the fine-grained classification based on image portions from several images associated with a particular geographic location, where the images are captured from different perspectives and/or zoom levels.
机译:本发明的一些实施例提供了一种方法,该方法用于识别地理位置并且对在从多个不同视点或视角捕获的图像中检测到的元素进行细粒度分类。在几个实施例中,该方法通过将来自不同视点的预测扭曲到一个共同的地理坐标系,从而概率地组合来自不同视点的预测来识别地理位置。某些实施例的方法基于来自与特定地理位置相关联的多个图像的图像部分来执行细粒度分类,其中从不同的视角和/或缩放级别捕获图像。

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