Fakultät Informatik

M.Sc. Marie-Lena Eckert

Topics of Research

Physically-based simulation, fluid simulation, fluid capture, fluid tracking, convex optimization, neural networks

How to get in Touch

eMail:

 eckertma(at)in.tum.de

Phone:

+49 89 289 19476

Fax:

+49 89 289 19462

Room:

 02.13.061

Address:

Technische Universität München
Informatik 15 (Computer Graphics, Games Engineering)
Boltzmannstrasse 3
85748 Garching bei München
Germany

Bachelor / Master Theses

My current research topic is the reconstruction (both 3D volume and 3D motion) of real fluid phenomena with very sparse input angles. Current topics for theses involve an experimental capture setup with Raspberry Pis, different tomography algorithms, numeric solvers and also non-linear lighting models.

If you're interested in a Bachelor's or Master's thesis regarding fluid capture and reconstruction, please contact me.

Here are two example topics:

 Capturing Real Fluid Phenomena (Fog Machine)

 Column-Action Methods in Image Reconstruction

 Modeling 3D Fluid Volumes Based on Appearance Transfer

Recent Publications

 A Primal-Dual Optimization for Fluids
T. Inglis*, M.-L. Eckert*, J. Gregson, N. Thuerey
Arxiv
Accepted in CGF
 Video
[Bibtex]

 

Talks and Posters

"Primal-Dual Optimization for Fluids", conference talk,  Eurographics, April 2017

"Reconstructing Volume and Motion from Real Fluid Phenomena with a Minimal Number of Camera Views", poster presentation,  KAUST Research Conference: Visual Computing - Modeling and Reconstruction, April 2017

"3D Reconstruction of Volume and Velocity of Real Fluid Phenomena Based on a Single Camera View", invited talk,  Prof. Matthias Teschner - Computer Graphics, Albert-Ludwigs-University Freiburg, May 2017

Supervised Theses

"Modeling 3D Fluid Volumes Based on Appearance Transfer" - Christoph Pölt, Master's Thesis, 2015

"Reconstruction of Fluid Volumes Based on Stochastic Tomography" - Dominik Dechamps, Master's Thesis, 2016

"Experimental Capture of Smoke and Evaluation of Volume Reconstruction Algorithms" - Florian Reichhold, Master's Thesis, 2016

"Optimized Volume Reconstruction for Fluids with Non-Linear Lighting Models" - Tobias Gottwald, Master's Thesis, 2017 (in progress)

"GPU-accelerated Stochastic Tomography for 3D Volume Reconstruction of Real Fluid Phenomena" - Tobias Kammerer, Master's Thesis, 2017 (in progress)

 

News

Matthias Niessner, our new Professor from Stanford University, offers a number of interesting topics for  master theses.

 

PhD positions on   Computational Fabrication and 3D Printing and  Photorealistic Rendering for Deep Learning and Online Reconstruction are available at the Computer Graphics & Visualization group.