SpringLens Distributed Nonlinear Magnifications

Abstract

We present a flexible, distributed and effective technique to model custom distortions of images. The main idea is to use a mass-spring model to create a flexible surface and to create distortions by changing the rest-lengths. A physical simulation works out the displacements of this particle grid. We provide intuitive tools to interactively design such nonlinear magnifications. In addition, our system enables data-driven distortions which allows us to use it for automatic nonlinear magnifications. We demonstrate this with an application for labeling of 3D scenes.