MeshLab

MeshLab
MeshLab
MeshLab LOGO.png
MeshLabv121 david.png
MeshLab 1.2.1
Developer(s) ISTI - CNR
Stable release 1.3.1 / September 16, 2011; 2 months ago (2011-09-16)[1]
Written in C++
Operating system Cross-platform
Type graphics software
License GPL
Website meshlab.sourceforge.net

MeshLab, is a free 3D mesh processing software program; MeshLab, started in late 2005, is an open-source general-purpose system aimed to help the processing of the typical not-so-small unstructured 3D models that arise in the pipeline of processing of the data coming from 3D scanning. MeshLab is oriented to the management and processing of unstructured large meshes and provides a set of tools for editing, cleaning, healing, inspecting, rendering and converting these kinds of meshes.

The automatic mesh cleaning filters includes removal of duplicated, unreferenced vertices, non manifold edges, vertices and null faces. Remeshing tools support high quality simplification based on quadric error measure, various kinds of subdivision surfaces and two surface reconstruction algorithms from point clouds based on the ball-pivoting technique and on the Poisson surface reconstruction approach. For the removal of noise, usually present in acquired surfaces, MeshLab supports various kinds of smoothing filters and tools for curvature analysis and visualization. It includes a tool for the registration of multiple range maps based on the Iterative Closest Point algorithm. MeshLab also includes an interactive direct paint-on-mesh system that allows to interactively change the color of a mesh, to define selections and to directly smooth out noise and small features.

MeshLab is available for most platforms, including Windows, Linux, Mac OS X, and, with reduced functionalities, on iOS. The system supports input/output in the following formats: PLY, STL, OFF, OBJ, 3DS, VRML 2.0, U3D, X3D and COLLADA. MeshLab allows also to directly import the point clouds reconstructed using Photosynth to further process and reconstruction.

MeshLab is used in various academic and research contexts, like microbiology,[2] Cultural heritage,[3] surface reconstruction,[4] paleontology,[5] and desktop manufacturing.[6]

See also

References

  1. ^ MeshLab release notes, official MeshLab Documentation wiki.
  2. ^ V.V. Berejnov, “Rapid and Inexpensive Reconstruction of 3D Structures for Micro-Objects Using Common Optical Microscopy,” 2009, pdf.
  3. ^ F. Remondino, F. Menna “Image-based surface measurement for close-range heritage documentation”, - The International Archives of the Photogrammetry, 2008, pdf
  4. ^ S. Xu, A. Georghiades, H. Rushmeier, J. Dorsey “Image guided geometry inference”, 3D PVT Symposium 2006, pdf
  5. ^ R. L. Abel et al., "Digital preservation and dissemination of ancient lithic technology with modern micro-CT", Computers & Graphics, Vol. 35, Num. 4, Aug. 2011, Pages 878-884, Elsevier, pdf
  6. ^ Desktop Manufacturing, Make, Vol 21, Jan 2010, pp. 73

External links


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