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Several vision-inspired mathematical imaging problems such as image inpainting, segmentation and tracking have been modelled in the recent years by means of variational and geometrical tools weighting differently the orientations in the image at hand. Analytical approaches encode anisotropy in the choice of the functional spaces and nonlinear models, while geometrical techniques typically “lift” the ambient space in order to make the orientation one unknown of the problem. The aim of this workshop is to gather experts from both communities to promote discussions and collaborations. The validity of the models will be confirmed by their application to several imaging tasks.