Point Cloud Processing via Recurrent Set Encoding
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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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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A new, cost-effective, and environmental-friendly cloud point extraction methodology was described for enrichment of copper, manganese and nickel in several water samples. The method involves the complexation of copper, manganese or nickel with 2-amino-6-(1,3-thiazol-2-diazeyl)-phenol at pH 7.0, then extraction into Triton X-114. After dilution of the surfactant-rich phase with acidified methan...
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ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2019
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v33i01.33015441