Advanced Methods for Point Cloud Processing and Simplification
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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Recently the area of motion planning research has been experiencing a significant resurgence of interest based on hybrid working environments that combine point and CAD models. Companies are able to work with point clouds and perform certain operations, such as path-planning, but they lack the support for fast shortest-distance computations for point clouds with more than tens of millions of po...
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Modelling and visualisation methods working directly with point-sampled geometry have developed into attractive alternatives to more traditional mesh-based surface processing. In this paper, we consider a vital step in any point-based surface processing pipeline, point cloud simplification. Building upon the intrinsic point cloud simplification idea put forward in [14], we obtain a simplificati...
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We present a new technique for the simplification of pointsampled geometry without any prior surface reconstruction. Using Fast Marching farthest point sampling for implicit surfaces and point clouds [1], we devise a coarse-tofine uniform or feature-sensitive simplification algorithm with user-controlled density guarantee. The algorithm is computationally and memory efficient, easy to implement...
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ژورنال
عنوان ژورنال: Applied Sciences
سال: 2020
ISSN: 2076-3417
DOI: 10.3390/app10103340