Michael Krimerman

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We present a novel approach for highly detailed 3D imaging of turbulent fluid mixing behaviors. The method is based on visible light computed tomography, and is made possible by a new stochastic tomographic reconstruction algorithm based on random walks. We show that this new stochastic algorithm is competitive with specialized tomography solvers such as(More)
Figure 1: Left: Photo of an acquisition rig for fluid phenomena, consisting of 5–16 strobe-synchronized consumer cameras. Middle: Example capture of one of the cameras. Right: Reconstruction of an unsteady two-phase flow at different points in time. Note how the novel tomographic technique introduced in this paper manages to capture the fine-scale features(More)
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