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Department of Informatics

CGI 2018: 2nd Best Paper Award

Reconstructing and visualizing sharp corners of an object in a faithful way is a challenging task in computer graphics.
A new method developed by the VMML researchers allows to compute normal vectors around such corners in a faster way by removing redundant calculations.

CGI 2018: 2nd Best Paper Award

The new method is up to 7 times faster than the best state-of-the-art approach. A help for professionals and researchers in the domain of architecture, civil engineering and visual computing.

As a concrete example, it’s now possible to estimate reliable normal vectors in less than 10 seconds for an input model composed by 700'000 points. More than 65 seconds faster than using a reference state-of-the-art method. The technique can be easily included in 3D point-cloud processing software. Thus, a new useful tool available to process data scanned with LIDAR or TOF-camera.

Claudio Mura, Gregory Wyss and Renato Pajarola have won the 2nd Best Paper Award at the CGI 2018 conference – in recognition for their work, described in the paper «Robust Normal Estimation in Unstructured 3D Point Clouds by Selective Normal Space Exploration». 



Weiterführende Informationen

Prof. Dr. Renato Pajarola

Director Visualization and Multimedia Lab

Dr. Claudio Mura

Visualization and Multimedia Lab