An Adaptive Cutaway with Volume Context Preservation

Abstract

Knowledge expressiveness of scientific data is one of the most important visualization goals. However, current volume visualization systems require a lot of expertise from the final user. In this paper, we present a GPU-based ray casting interactive framework that computes two initial complementary camera locations and allows to select the focus interactively, on interesting structures keeping the volume’s context information with an adaptive cutaway technique. The adaptive cutaway surrounds the focused structure while preserving a depth immersive impression in the data set. Finally, we present a new brush widget to edit interactively the opening of the cutaway and to graduate the context in the final image.