Dimitri Bulatov

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A useful enrichment of videos captured by unmanned aerial vehicles (UAVs) is the annotation of image data or determining coordinates for objects in the video. This requires georeferencing of the video frames. For surveillance or reconnaissance applications, we propose georeferencing of UAV video frames with an ortho-photo. In this process, the challenge is(More)
—We present an algorithm for extracting Level of Detail 2 (LOD2) building models from video streams captured by Unmaned Aerial Vehicles (UAVs). Typically, such imagery is of limited radiometric quality but the surface is captured with large redundancy. The first contribution of this paper is a novel algorithm exploiting this redundancy for precise depth(More)
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