meshlab
225601248
Phenotyping 3D coral models in MeshLab v1
Wyatt C Million Carly D Kenkel
1866174
MeshLab: an Open Source Mesh Processing Tool
The paper presents MeshLab, an open source, extensible, mesh processing system that has been developed at the Visual Computing Lab of the ISTI CNR with the helps of tens of students. We will describe the MeshLab architecture, its main features and design objectives discussing what strategies have been used to support its development. Various examples of the practical uses of MeshLab in research and professional frameworks are reported to show the various capabilities of the presented system.
Eurographics Italian Chapter Conference
Paolo Cignoni Marco Callieri Massimiliano Corsini Matteo Dellepiane Fabio Ganovelli Guido Ranzuglia
56655688
User Guide: Dense facial tissue depth mapping of 3D CT models using Meshlab
This user guide outlines a method for objective, dense facial tissue depth mapping of 3D face and skull STL models generated from computed tomography (CT) scans, in an effort to produce a standardized reference dataset for forensic craniofacial identification applications. Any 3D STL face and skull models that are in correct anatomical orientation to each other can be mapped with this method. The methods described include hollowing and cropping of a face model to obtain a face "shell," mapping the face to the skull, colorizing and saving mapped data, and visualization of mapped data. The purpose of this guide is to provide an objective, standardized method for mapping facial tissue depth values for forensic craniofacial identification applications using free software. We have also attached a zipped fileset of Meshlab scripts (with instructions for installation included in the zip) that will assist with splitting the face and skull maps into 1 mm increments for enhanced visualizations. Images were generated with publicly available de identified CT scans from The Cancer Imaging Archives (http:/www.cancerimagingarchive.net/ doi: 10.1007/s10278 013 9622 7) A link to the accompanying manuscript will be provided when published.
Terrie Simmons-Ehrhardt Catyana Rs Falsetti Anthony B Falsetti Christopher J Ehrhardt
215943760
MeshLab: 3D triangular meshes processing and editing
Paolo Cignoni Marco Callieri Massimiliano Corsini Matteo Dellepiane Fabio Ganovelli Guido Ranzuglia
63133914
Digitalizacion de la nube de puntos 3D generada por el scanner picza LPX 60 para el modelamiento y manufactura de productos industriales mediante algoritmo basico de MATLAB y software libre MESHLAB
Cajas Naranjo Hugo German
6949854
PROCESSING A COMPLEX ARCHITECTURAL SAMPLING WITH MESHLAB: THE CASE OF PIAZZA DELLA SIGNORIA
The paper presents a recent 3D scanning project performed with long range scanning technology showing how a complex sampled dataset can be processed with the features available in MeshLab, an open source tool. MeshLab is an open source mesh processing system. It is a portable and extensible system aimed to help the processing of the typical not so small unstructured models that arise in 3D scanning, providing a set of tools for editing, cleaning, processing, inspecting, rendering and converting meshes. The MeshLab system started in late 2005 as a part of a university course, and considerably evolved since then thanks to the effort of the Visual Computing Lab and of the support of several funded EC projects. MeshLab gained so far an excellent visibility and distribution, with several thousands downloads every month, and a continuous evolution. The aim of this scanning campaign was to sample the facades of the buildings located in Piazza della Signoria (Florence, Italy) This digital 3D model was required, in the framework of a Regional Project, as a basic background model to present a complex set of images using a virtual navigation metaphor (following the PhotoSynth approach) Processing of complex dataset, such as the ones produced by long range scanners, often requires specialized, difficult to use and costly software packages. We show in the paper how it is possible to process this kind of data inside an open source tool, thanks to the many new features recently introduced in MeshLab for the management of large sets of sampled point.
Marco Callieri Paolo Cignoni Matteo Dellepiane Guido Ranzuglia Roberto Scopigno
14519487
MeshLab as a complete open tool for the integration of photos and color with high resolution 3D geometry data
Even if a precise, detailed geometry is essential for the study and documentation of a CH artifact, lots of information also comes from the color and appearance data. Since a complete reconstruction of the optical properties of an artifact is still hard to achieve, what is normally done is to rely on color data coming from photographic dataset. In this paper, we will describe the tools that MeshLab offers for the generation and processing of color information on a high resolution 3D model. We will show the basic operations available and present actual projects were this tools have been successfully used. The first step in the color management, is to align photos to the 3D model, this operation is possible in MeshLab in a short time by using a very simple interface. The photos aligned in this way may be spatially explored directly in the 3D space, instead of browsing a folder on the disk, looking at the photos like see through transparencies suspended in space or projected onto the surface. An interesting possibility is to use also unconventional photos, like photos with annotations, historical photos or even near visible lighting photos (ultraviolet, multispectral, infrared, thermography. The spatial exploration of the georeferenced photographic set is a powerful tool but, in many applications, it is needed to have the color information mapped onto the geometry. To this aim, MeshLab offers different color mapping tools to better cope with the different needs of the various datasets. By using the color data from the calibrated images, it is possible to generate detailed, artifact free per vertex color encoding, fill an existing texture parametrization or generate an entirely new texture mapping, driven by the photographic coverage. The reconstruction of a faithful representation of the actual color of an artifact is often just a first step towards the understanding of the original aspect of the object. Almost always, the current state of an archeological find is degraded: to propose possible reconstruction of the original color of the object is a normal activity for archeologists or art historian. This task, however, is generally carried out on photos or drawings of the artifact, while it would be possible to do it directly on the 3D surface. The Surface Painting tools provided by MeshLab may be used to color the 3D surface using painting like interface. By using this editing tool, it was possible to produce such proposed color reconstructions, directly on the 3D geometry. MeshLab is the most complete open source software for the creation and manipulation od high resolution 3D models of real world objects, and the availability of such color management tools is an important instrument for the archeological and CH community
Marco Callieri Matteo Dellepiane Guido Ranzuglia Paolo Cignoni Roberto Scopigno
126744027
Enhancing surface features with the Radiance Scaling Meshlab Plugin
We present the new Radiance Scaling plugin for Meshlab. This rendering technique allows to depict shape through shading via the modification of light intensities around specific features. The major idea is to correlate the shading with surface feature variations in order to enhance shape details like concavities and convexities. The Radiance Scaling rendering technique works in real time on modern graphics hardware. As a consequence, surface features can be inspected interactively. Recently, the Radiance Scaling technique has received major interest in the French Archaeology research community, in particular for enhancing details in carved stones and thus improving their legibility.
Romain Vergne Romain Pacanowski Pascal Barla Xavier Granier Patrick Reuter
59692595
MeshLab Deriving Visualization Values from Scanning Data
Caitlin Stevens
59851283
Converting a 3D Model to OpenCTM In Meshlab for WebGL
Keenan Cole