Multi Dimensional Transfer Function Design

Multi-dimensional Transfer Function Design

Direct volume rendering can be accomplished through correct transfer functions that convert data values to visual properties such as transparency and color. Multi-dimensional transfer functions that have additional axes of gradient magnitude and the second derivative as well as intensity, are useful for the visualization of the features that intensity ranges are overlaped, but gradient magnitudes are distinguishable. However, multi-dimensional transfer functions are hard to control by hand, since correct combination of data values of each axis should be searched to find a correct voxel role in terms of boundary by try and error in multi-dimesional space. In other words, some voxels exactly on a boundary should be totally opaque and others supporting the boundary should have proper transparencies based on the distance from the boundary. In this paper, we present how to decide the voxel role that is fixed once a volume dataset is generated and suggest a multi-dimensional transfer function that minizes user interactions through the pre-defined voxel roles.

Transfer Function Design for Volume Visualization of Multi-valued and Multi-variate Datasets

Multidimensional Systems

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