ConvPoint: Continuous convolutions for point cloud processing
نویسندگان
چکیده
منابع مشابه
Advanced Point Cloud Processing
The high pulse frequencies of today’s airborne, mobile and terrestrial laser scanners enable the acquisition of point clouds with densities from some 20-50 points/m for airborne scanners to several thousands points/m for mobile and terrestrial scanners. For the (semi-)automated extraction of geo-information from point clouds these high point densities are very beneficial. The large number of po...
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Terrain point cloud data are typically acquired through some form of Light Detection And Ranging sensing. They form a rich resource that is important in a variety of applications including navigation, line of sight, and terrain visualization. Processing terrain data has not received the attention of other forms of surface reconstruction or of image processing. The goal of terrain data processin...
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The convolution operator plays an important role in image processing. In many cases, convolutions are used in continuous domain models, for example, Gaussian convolutions used in scale-space (Koenderink, 1984). Given that image data is inherently discrete, a common approach to approximate the continuous model is to convert the continuous convolutions to their discrete counterparts by replacing ...
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In recent years, the scanning of real-world physical objects using 3d acquisition devices has become an everyday task. Such 3d scanners output a set of three-dimensional points, called point cloud, sampling the surface of an object. These samples are typically subject to imperfections like noise, holes and outliers. In computer graphics, the field of surface reconstruction is concerned with the...
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ژورنال
عنوان ژورنال: Computers & Graphics
سال: 2020
ISSN: 0097-8493
DOI: 10.1016/j.cag.2020.02.005