We are here to share the current research on point clouds. What do researchers do, what problems do they deal with, which technologies do they use to analyse, characterise, and how do they learn about the world from 3D point clouds.

This blog is part of MorE3D — an ongoing project carried out at TU Wien and funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant.


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Is it a car? Is it a tree? Machine learning to the rescue!

Imagine this, a city is documented by millions of points acquired by an airborne laser scanner. Now, in order to make sense in all these points, we need to go one by one and classify it – does it belong to a tree? A building? A road? Here, we used a deep neural network to do the work for us!

3D models to preserve a graffiti-scape in Vienna

Graffiti upset, please, provoke. However, they are also short-lived, often exist only several hours or days. If not documented, part of this unique cultural heritage will vanish forever. The INDIGO project tries to change this by building an online 3D platform to analyse present and past graffiti-scapes.