Volume Wires: A Framework for Empirical Nonlinear Deformation of Volumetric Datasets

We introduce a new framework for non-linear, non-reconstructive deformation of volumetric datasets. Traditional tec hniques for deforming volumetric datasets non-linearly usually involve a reconstruction stage, where a new deformed volume is reconstructed 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 the n 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 imple mentations.

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