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Unlike CloudViewer, it can also draw interesting point cloud information such as normals, principal curvatures and geometries. It can display multiple point clouds side-by-side so they can be easily compared, or draw various primitive shapes (e.g., cylinders, spheres, lines, polygons, etc.) either from sets of points or from parametric equations.
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 ...
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]
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.
CloudCompare is a 3D point cloud processing software (such as those obtained with a laser scanner).It can also handle triangular meshes and calibrated images. Originally created during a collaboration between Telecom ParisTech and the R&D division of EDF, the CloudCompare project began in 2003 with the PhD of Daniel Girardeau-Montaut on Change detection on 3D geometric data. [2]
Point set registration is the process of aligning two point sets. Here, the blue fish is being registered to the red fish. In computer vision, pattern recognition, and robotics, point-set registration, also known as point-cloud registration or scan matching, is the process of finding a spatial transformation (e.g., scaling, rotation and translation) that aligns two point clouds.
Another type of feature recently made practical for structure from motion are general curves (e.g., locally an edge with gradients in one direction), part of a technology known as pointless SfM, [7] [8] useful when point features are insufficient, common in man-made environments. [9] The features detected from all the images will then be matched.
A single ray of light from x (3D point) is dispersed in the lens system of the cameras according to a point spread function. The recovery of the corresponding image point from measurements of the dispersed intensity function in the images gives errors. In a digital camera, the image intensity function is only measured in discrete sensor elements.