Avram Golbert

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We present a method for object detection in a multi view 3D model. We use highly overlapping views, geometric data, and semantic surface classification in order to boost existing 2D algorithms. Specifically, a 3D model is computed from the overlapping views, and the model is segmented into semantic labels using height information, color and planar(More)
We present a method for object detection in a multi view 3D model. Out data is comprised of many overlapping aerial images with a 45 degree slant. These datasets are typical for the task of 3D reconstruction and include ground, roofs, building facades and many urban objects such as cars, plants and windows. These 3D models are becoming more and more common(More)
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