SigmaLenses:
Representation-independent, transparent approach to focus+context interaction






Focus+context interaction techniques based on the metaphor of lenses are able to provide in-place magnification of a region of the display without requiring users to zoom into the representation and consequently lose context. In order to avoid occlusion of its immediate surroundings, the magnified region is often integrated in the context using smooth transitions based on spatial distortion. Such lenses have been developed for various types of representations using techniques often tightly coupled with the underlying graphics framework. We created a representation-independent, transparent approach to the implementation of lenses that applies to different graphics frameworks, ranging from 3D graphics to rich multi-scale 2D graphics combining text, bitmaps and vector graphics, while requiring minimal coding effort. This approach not only allows for the implementation of focus / context transitions based on spatial transitions, but also supports the full Sigma Lens model that allows for the definition of transitions between focus and context based on a combination of dynamic displacement and compositing functions. We implemented our general model in two very different frameworks: using OpenGL and programmable graphics hardware and using a general-purpose cross-platform 2D application programming interface.


Sigma Lenses in pictures


Speed Coupled Blending
This speed-coupled blending lens is applied to a 3D model of the Moon orbiting the Earth. No modification of the scene is required. The lenses' shape and behavior are defined independently in GLSL shaders.


Arbitrary Shape

Our approach allows for the creation of lenses of arbitrary shape, size and temporal behavior.


Adaptive Lenses
Sigma Lenses could be used to adapt their shapes to the content. Here, the lenses' focus region adapts to the shape of a subway line.


Publications


Representation-Independent In-Place Magnification with Sigma Lenses.
E. Pietriga, O. Bau and C. Appert. 2009. In IEEE Transactions on Visualization and Computer Graphics.[IEEE]


Team and Credits


This work was conducted with Emmanuel Pietriga and Caroline Appert while at In|Situ| INRIA, Paris, France.