Measuring the geometric difference between two 3D models using Hausdorff Distance is a common approach in mesh processing. Using different automatic and interactive selection methods, is then possible to isolate and remove unwanted areas of your meshes and point clouds. It is possible to removing topological errors, duplicated and unreferenced vertices, small components, degenerated or intersecting faces, and many more geometrical and topological singularities.
#MESHLAB SOURCE CODE SOFTWARE#
The app offers a series of automatic, semi-manual and interactive filters to remove those geometric element generally considered “wrong” by most software and algorithms.
Several automatic and assisted methods are provided to obtain a high quality color encoding, with both per-vertex or texture mapping.īeside being able to export to STL (one of the most common formats for 3D printing), It can be used to prepare 3D models for printing by creating inner shells, resampling/remeshing the 3D model to make slicing easier, closing small holes to obtain watertight meshes, and flattening the bottom area to have a better platform adherence. MeshLab contains a pipeline for the alignment and projection of color information (from a set of uncalibrated images) onto a 3D model.
Automatic filters are available to calculate Ambient Occlusion and Volumetric Obscurance and to map it to vertex or face color.Ĭolor information may be as important as geometry, but several acquisition technologies do not provide accurate appearance data. It can manipulate the vertex and face colors using a series of photoshop-like filters (gamma, saturation, brightness, contrast, levels, smoothing, sharpening). It provides several solutions to reconstruct the shape of an object, ranging from volumetric (Marching Cube) to implicit surfaces (Screened Poisson). The process of transforming independent acquisitions, or point clouds, into a single-surface triangulated mesh can be fulfilled with different algorithmic approaches.
The app also offers a high-resolution screenshot feature, extremely useful in creating a graphical documentation of a survey. It is possible to control the camera perspective/orthographic view parameters, and use predefined canonical views. The visualization features of the app (including Decorators and Shaders) can help in graphically present the peculiar characteristics of a 3D model. The alignment can be performed on meshes and point clouds coming from several sources, including active (both short- and long-range) scanners and 3D-from-image tools. MeshLab for macOS implements a fine tuned ICP one-to-one alignment step, followed by a global bundle adjustment error-distribution step. It provides a powerful tool for moving the different meshes into a common reference system, able to manage large set of range-maps.
The 3D data alignment phase (also known as registration) is a fundamental step in the pipeline for processing 3D scanned data. Export: PLY, STL, OFF, OBJ, 3DS, COLLADA, VRML, DXF.Import: PLY, STL, OFF, OBJ, 3DS, COLLADA, PTX.It offers features for processing raw data produced by 3D digitization tools/devices and for preparing models for 3D printing. It provides a set of tools for editing, cleaning, healing, inspecting, rendering, texturing and converting meshes.
#MESHLAB SOURCE CODE FOR MAC#
MeshLab for Mac is the open-source app for processing and editing 3D triangular meshes.
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