For TUM students: we also have a new thesis topic on visual flow capture with RPIs. This is motivated by a previous project: ScalarFlow. There we created a first large-scale data set of reconstructions of real-world smoke plumes. It used an accurate physics-based reconstruction from a small number of video streams. Central components of our framework were a novel estimation of unseen inflow regions and an efficient optimization scheme constrained by a simulation to capture real-world fluids. The published data set contains volumetric reconstructions of velocity and density as well as the corresponding input image sequences.
More info can be found here: https://ge.in.tum.de/download/thesis-MA-rpi.pdf
If you have experience with hardware setups and cameras, please contact us via email at i15ge@cs.tum.edu . We have thesis and or HiWi positions available in this area!
