Interactive 3D: Static and Dynamic Environment Capture in Real Time

Matthias Niessner

(Stanford University)

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Date: May 4, 2016


In recent years, commodity 3D sensors have become easily and widely available. These advances in sensing technology have inspired significant interest in using captured 3D data for mapping and understanding 3D environments. In this talk, I will show how we can now easily obtain 3D reconstructions of static and dynamic environments in an interactive manner, and how we can process and utilize the data efficiently in real time on modern graphics hardware. In a concrete example application for 3D reconstruction, I will talk about facial reenactment   where we use an intermediate 3D reconstruction to interactively edit videos in real time.

Further Information:

Matthias Niessner is a visiting assistant professor at Stanford University. Previous to his appointment at Stanford, he earned his PhD from the University of Erlangen-Nuremberg, Germany under the supervision of Günther Greiner. His research focuses on different fields of computer graphics and computer vision, including the reconstruction and semantic understanding of 3D scene environments.


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Created: Thursday, May 5th, 2016