1 research outputs found
Giga-voxel rendering from compressed data on a display wall
We present a parallel system capable of rendering multi-gigabyte data sets on a multi-megapixel display wall at
interactive rates. The system is based on Residual Vector Quantization which allows us to render extremely large
data sets out of the graphics memory. At 0.75 bits per voxel, such large data sets can even be kept on a consumerlevel
graphics card. As an example we compress the whole full color “Visible Human Female” data set, approximately
21GByte in size, down to 700MByte. Taking advantage of the fixed code length and the extremely simple
decompression scheme of RVQ, all decompression is done on the GPU at very high rates. For each frame the data
set is decompressed into small subvolumes which are rendered front to back. Classification and shading can be
moved into the decompression step, speeding up the rendering pass