Dimensionality reduction on multi-dimensional transfer functions for multi-channel volume data sets

@article{Kim2010DimensionalityRO,
  title={Dimensionality reduction on multi-dimensional transfer functions for multi-channel volume data sets},
  author={Han Suk Kim and J{\"u}rgen P. Schulze and Angela C. Cone and Gina E. Sosinsky and Maryann E. Martone},
  journal={Information visualization},
  year={2010},
  volume={9 3},
  pages={167-180}
}
The design of transfer functions for volume rendering is a non-trivial task. This is particularly true for multi-channel data sets, where multiple data values exist for each voxel, which requires multi-dimensional transfer functions. In this paper, we propose a new method for multi-dimensional transfer function design. Our new method provides a framework to combine multiple computational approaches and pushes the boundary of gradient-based multi-dimensional transfer functions to multiple… CONTINUE READING
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