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While point clouds can be directly rendered and inspected, [10] [11] point clouds are often converted to polygon mesh or triangle mesh models, non-uniform rational B-spline (NURBS) surface models, or CAD models through a process commonly referred to as surface reconstruction. There are many techniques for converting a point cloud to a 3D ...
The Point Cloud Library (PCL) is an open-source library of algorithms for point cloud processing tasks and 3D geometry processing, such as occur in three-dimensional computer vision. The library contains algorithms for filtering, feature estimation, surface reconstruction, 3D registration, [5] model fitting, object recognition, and segmentation ...
Often it is used to create a 3D surface from a point cloud through either downsampling or upsampling. In numerical analysis to handle contributions of geometry where it is difficult to obtain discretizations, the moving least squares methods have also been used and generalized to solve PDEs on curved surfaces and other geometries.
The surface is then obtained with the external triangles from the resulting tetrahedron. [34] Another algorithm called Tight Cocone [35] labels the initial tetrahedrons as interior and exterior. The triangles found in and out generate the resulting surface. Both methods have been recently extended for reconstructing point clouds with noise. [35]
The surface atoms deviate from the bulk crystal structure and arrange in columns several atoms wide with pits between them. The structure of the Au (100) surface is an interesting example of how a cubic structure can be reconstructed into a different symmetry, as well as the temperature dependence of a reconstruction.
This 3D model consists of a polygon mesh or point cloud of geometric samples on the surface of the subject. These points can then be used to extrapolate the shape of the subject (a process called reconstruction). If colour information is collected at each point, then the colours or textures on the surface of the subject can also be determined.
CloudCompare an open source point and model processing tool that includes an implementation of the ICP algorithm. Released under the GNU General Public License. PCL (Point Cloud Library) is an open-source framework for n-dimensional point clouds and 3D geometry processing. It includes several variants of the ICP algorithm.
MeshLab can also import point clouds reconstructed using Photosynth. MeshLab is used in various academic and research contexts, like microbiology, [2] cultural heritage, [3] surface reconstruction, [4] paleontology, [5] for rapid prototyping in orthopedic surgery, [6] in orthodontics, [7] and desktop manufacturing. [8]