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Identification of Scene Locations from Geotagged Images

机译:从地理标记图像识别场景位置

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摘要

Due to geotagging capabilities of consumer cameras, it has become easy to capture the exact geometric location where a picture is taken. However, the location is not the whereabouts of the scene taken by the photographer but the whereabouts of the photographer himself. To determine the actual location of an object seen in a photo some sophisticated and tiresome steps are required on a special camera rig, which are generally not available in common digital cameras. This article proposes a novel method to determine the geometric location corresponding to a specific image pixel. A new technique of stereo triangulation is introduced to compute the relative depth of a pixel position. Geographical metadata embedded in images are utilized to convert relative depths to absolute coordinates. When a geographic database is available we can also infer the semantically meaningful description of a scene object from where the specified pixel is projected onto the photo. Experimental results demonstrate the effectiveness of the proposed approach in accurately identifying actual locations.
机译:由于消费相机的地理标记功能,捕获照片的确切几何位置变得很容易。但是,该位置不是摄影师拍摄的场景的下落,而是摄影师本人的下落。为了确定照片中看到的物体的实际位置,需要在特殊的摄影机上进行一些复杂而繁琐的步骤,而这些通常是普通数码相机无法提供的。本文提出了一种新颖的方法来确定对应于特定图像像素的几何位置。引入了一种新的立体三角剖分技术来计算像素位置的相对深度。嵌入图像中的地理元数据用于将相对深度转换为绝对坐标。当地理数据库可用时,我们还可以从指定像素投影到照片的位置推断场景对象的语义上有意义的描述。实验结果证明了该方法在准确识别实际位置方面的有效性。

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