In order to fundamentally understand image analysis, we spend a lot of energy to 'scale-space theory', i.e. brain-inspired computer vision. The multi-scale nature of images, as well as the operators working on them, generate a natural graph-based hierarchy.We exploited this in numerous papers, and sveral internation collaborative projects (Diffusion, RIACA, DSSCV).
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