Volume wires: a framework for empirical non-linear deformation of volumetric datasets

Abstract

We introduce a new framework for non-linear, non-reconstructive deformation of volumetric datasets. Traditional techniques for deforming volumetric datasets non-linearly usually involve a reconstruction stage, where a new deformed volume is recon- structed and then sent to the renderer. Our intuitive sweep-based technique avoids the drawbacks of reconstruction by creating a small attribute field which defines the deformation, and then sending it with the original volume dataset to the rendering stage. This paper also introduces acceleration techniques aimed at giving interactive control of deformation in future implementations.