PROCESSING A COMPLEX ARCHITECTURAL SAMPLING WITH MESHLAB: THE CASE OF <i>PIAZZA DELLA SIGNORIA</i>
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.<br> MeshLab is an open source mesh processing system. It is a portable and extensibl...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-09-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-5-W16/205/2011/isprsarchives-XXXVIII-5-W16-205-2011.pdf |
| Summary: | 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.<br> 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.<br> The aim of this scanning campaign was to sample the façades 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).<br> 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. |
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| ISSN: | 1682-1750 2194-9034 |