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We present a novel physically‐based method to visualize stress tensor fields. By incorporating photoelasticity into traditional raycasting and extending it with reflection and refraction, taking into account polarization, we obtain the virtual counterpart to traditional experimental polariscopes. This allows us to provide photoelastic analysis of stress tensor fields in arbitrary domains. In our model,...
We present a workflow to semi-automatically create depth maps for monocular movie footage. Artists annotate relevant depth discontinuities in a single keyframe. Depth edges are then learned and predicted for the whole shot. We use structure from motion where possible for sparse depth cues, while the artist optionally provides scribbles to improve the intended visual effect. Finally, all three sources...
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