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@COMMENT written by Patrick Riley <http://sourceforge.net/users/patstg/>
@TechReport{TR99-ps, 
  author =      {J. Edward {Swan~II} and Klaus Mueller and Torsten M\"{o}ller and 
                 Naeem Shareef and Roger Crawfis and Roni Yagel}, 
  title =       {Perspective Splatting}, 
  institution = {Naval Research Laboratory}, 
  type =        {Memorandum Report}, 
  number =      {NRL/MR/5580--99-8355}, 
  month =       {May}, 
  year =        1999, 
  abstract =    { 
Splatting is a popular direct volume rendering algorithm that was originally 
conceived and implemented to render orthographic projections. This paper 
describes an anti-aliasing extension to the basic splatting algorithm, as well 
as an error analysis, that make it practical to use for perspective 
projections. To date, splatting has not correctly rendered cases where the 
volume sampling rate is higher than the image sampling rate (e.g. more than one 
voxel maps into a pixel). This situation arises with perspective projections of 
volumes, as well as with orthographic projections of high-resolution 
volumes. The result is potentially severe spatial and temporal aliasing 
artifacts. Some volume ray-casting algorithms avoid these artifacts by employing 
reconstruction kernels which vary in width as the rays diverge. Unlike 
ray-casting algorithms, existing splatting algorithms do not have an equivalent 
mechanism for avoiding these artifacts. In this paper we propose such a 
mechanism, which delivers high-quality splatted images and has the potential for 
a very efficient hardware implementation. In addition, we analyze two numerical 
errors that arise with splatted perspective projections of volumes, and describe 
the rendering-time versus image-quality tradeoffs of addressing these errors. 
}, 
}