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Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also… Expand In this paper, we propose PointRCNN for 3D object detection from raw point cloud. The whole framework is composed of two stages… Expand Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation… Expand We propose a novel deep learning-based framework to tackle the challenge of semantic segmentation of large-scale point clouds of… Expand This article investigates the problem of acquiring 3D object maps of indoor household environments, in particular kitchens. The… Expand In this paper we investigate the usage of persistent point feature histograms for the problem of aligning point cloud data views… Expand We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues… Expand In this paper we present an automatic algorithm to detect basic shapes in unorganized point clouds. The algorithm decomposes the… Expand In this paper we present a progressive compression method for point sampled models that is specifically apt at dealing with… Expand Airborne laser altimetry has become a very popular technique for the acquisition of digital elevation models. The high point… Expand