![]() Another source of research-level F/OSS systems are gov- ernment founded projects where, in some cases, the funding organization encourages the dissemination of the results un- der a liberal licensing scheme. Another more serious issue of these system is their very short life expectation: maintenance is neither a requirement nor a rewarding activity for a researcher, so in most of the cases these tools, after a few months, often lie in a rather abandoned state. This is not a negative point of view from a scientiļ¬c point of view, because the purpose of the released software is well different from the one of being a real product. ![]() in th is ca se a re se ar ch gr ou p rel eas es, und er a mor e or les s lib era l lic ens e, a fro zen ver sio n of the software system behind a given published work while this kind of approach should be strongly encouraged by jour- nal and conferences because allows to the reviewer to get a better assessment of quality of the proposed solutions, from a software engineering point of view the release software is often far from being a clean and robust software product. MeshLab is used in various academic and research contexts, like microbiology, cultural heritage, surface reconstruction, paleontology, for rapid prototyping in orthopedic surgery, in orthodontics, and desktop manufacturing. MeshLab can also import point clouds reconstructed using Photosynth. The system supports input/output in the following formats: PLY, STL, OFF, OBJ, 3DS, VRML 2.0, U3D, X3D and COLLADA. MeshLab is available for most platforms, including Windows, Linux, Mac OS X, and, with reduced functionality, on iOS and Android and even as a pure client-side JavaScript application called MeshLabJS. 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. It includes a tool for the registration of multiple range maps based on the iterative closest point algorithm. ![]() For the removal of noise, usually present in acquired surfaces, MeshLab supports various kinds of smoothing filters and tools for curvature analysis and visualisation. 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. The automatic mesh cleaning filters includes removal of duplicated, unreferenced vertices, non-manifold edges, vertices, and null faces. It is a general-purpose system aimed at the processing of the typical not-so-small unstructured 3D models that arise in the 3D scanning pipeline. MeshLab is developed by the ISTI - CNR research center initially MeshLab was created as a course assignment at the University of Pisa in late 2005. It is well known in the more technical fields of 3D development and data handling. MeshLab is free and open-source software, subject to the requirements of the GNU General Public License (GPL), version 2 or later, and is used as both a complete package and a library powering other software. MeshLab is an advanced 3D mesh processing software system that 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.
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