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Thomas Forgione
2023-04-22 17:26:54 +02:00
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During the last years, 3D acquisition and modeling techniques have made tremendous progress.
Recent software uses 2D images from cameras to reconstruct 3D data, e.g.
#link("https://alicevision.org/\#meshroom")[Meshroom] is a free and open source software which got almost 200.000 downloads on #link("https://www.fosshub.com/Meshroom.html")[fosshub], which use _structure-from-motion_ and _multi-view-stereo_ to infer a 3D model.
#link("https://alicevision.org/#meshroom")[Meshroom] is a free and open source software which got almost 200.000 downloads on #link("https://www.fosshub.com/Meshroom.html")[fosshub], which use _structure-from-motion_ and _multi-view-stereo_ to infer a 3D model.
More and more devices are specifically built to harvest 3D data: for example, LIDAR (Light Detection And Ranging) can compute 3D distances by measuring time of flight of light. The recent research interest for autonomous vehicles allowed more companies to develop cheaper LIDARs, which increase the potential for new 3D content creation.
Thanks to these techniques, more and more 3D data become available.
These models have potential for multiple purposes, for example, they can be printed, which can reduce the production cost of some pieces of hardware or enable the creation of new objects, but most uses are based on visualization.