dynDGP animations


We have recently introduced the dynamical Distance Geometry Problem (dynDGP) for dealing with problems in distance space where time is a fundamental component. Here below some animations presented in our recent publications are reported. It is in fact not easy to discuss and evaluate the quality of our results only by showing some key frames of the animations we have obtained. As new articles on the topic will published in the near future, the corresponding animations will be added to this page.


Heider and Simmel animation

This is a video clip that was initially published for a psychological study in 1944. The main "characters" in the video clip are simple geometrical figures, which are however able to transmit emotions, such as anger, that people perceives by watching the video.

From this original animation, we have created dynDGP instances where distances are measured between pairs of original characters in the animation, and then manipulated in order to introduce some desired effects by modifying the initial animation as little as possible. The animation is manipulated from frame 100, which is, since all "characters" are present on the scene.

Here below the original animation after the extraction process (from the video above); it shows that no undesired effects were introduced during the extraction process. The "house" is omitted.

When the distance constraints are modified so that all characters need to be at least 0.2 units far apart (the environment is a box with sides 1 by 1), we obtain the following animation:

When the distance constraints are instead modified so that all characters need to always be closer than 0.2 units, we obtain the following animation:

The first solution shows an animation where the perception of the scene is stronger, because the movements of one character, even without approaching too much (as imposed by our distance constraints), still induce the step-back movement of the others. The second solution shows the three characters in closer interaction (as imposed by our constraints), which gives to the general scene a stronger feeling of stress and danger.


A sinusoidal animation

This animation was artificially generated so that the objects' trajectories are sinusoidal and they collade in some specific frames. The animation is manipulated by adding a set of distance constraints that makes it possible to preserve as much as possible the original animation while all collisions are avoided.
This animated gif shows four animations running together, for an easier comparison. The left-most animation is the original one. The other animations were obtained by dynDGP and with three different thresholds for the new introduced distance constraints (more details can be found in our publications).


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