Functional Surface Reconstruction from Unorganized Noisy Point Clouds
نویسندگان
چکیده
منابع مشابه
Surface Reconstruction from Unorganized 3D Point Clouds
Computer-based surfacemodels are indispensable in several fields of science and engineering. For example, the design and manufacturing of vehicles, such as cars and aircrafts, would not be possible without sophisticated CAD and simulation tools predicting the behavior of the product. On the other hand, designers often do not like working on virtual models, though sophisticated tools, like immer...
متن کاملSpectral Surface Reconstruction from Noisy Point Clouds
1. Briefly summarize the paper’s contributions. Does it address a new problem? Does it present a new approach? Does it show new types of results? [AS] This method presents a new approach to the problem of surface reconstruction from a noisy point cloud without requiring normal information. They introduce spectral methods for partitioning graphs into the problem surface reconstruction. Their a...
متن کاملRobust Surface Reconstruction from Noisy Point Clouds using Graph Cuts
This work is concerned with the implementation and evaluation of a surface reconstruction approach, which is highly robust against outliers. The chosen approach has a range of appealing properties. First of all, it manages to incorporate a keypoint-based visibility constraint, which leads to a very high resilience to outliers. Secondly, it is based on a Delaunay triangulation, which makes the a...
متن کاملSurface Reconstruction from Noisy Point Clouds using Coulomb Potentials
We show that surface reconstruction from point clouds without orientation information can be formulated as a convection problem in a force field based on Coulomb potentials. To efficiently evaluate Coulomb potentials on the volumetric grid on which the evolving surface (current approximation to the final surface) is convected we use the so called ’Particle-Particle Particle-Mesh’ (PPPM) algorit...
متن کاملSmooth Surface Reconstruction from Noisy Clouds
We describe a new method for surface reconstruction and smoothing based on unorganized noisy point clouds without normals. The output of the method is a refined triangular mesh that approximates the original point cloud while preserving the fine details present in the underlying surface. The method has five steps: noise removal, clustering, data reduction, initial reconstruction, and mesh refin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer-Aided Design and Applications
سال: 2014
ISSN: 1686-4360
DOI: 10.1080/16864360.2014.981467