@inproceedings{Xu:2004:SRS,
  optorganization = {},
  author = {Hui Xu and Baoquan Chen},
  optkey = {},
  optseries = {},
  editor = {Aaron Hertzmann and Craig Kaplan},
  url = {http://www-users.cs.umn.edu/~baoquan/scan.html},
  localfile = {papers/Xu.2004.SRS.pdf},
  address = {New York},
  publisher = {ACM Press},
  doi = {http://doi.acm.org/10.1145/987657.987662},
  optmonth = {},
  opturl = {},
  optcrossref = {},
  booktitle = NPAR2004,
  optstatus = {},
  optvolume = {},
  optnumber = {},
  title = {{S}tylized {R}endering of {3D} {S}canned {R}eal {W}orld
           {E}nvironments},
  abstract = {This paper presents an interactive non-photorealistic rendering
              (NPR) system that stylizes and renders outdoor scenes captured by
              3D laser scanning. In order to deal with the large size,
              complexity and inherent incompleteness of data obtained from
              outdoor scans, our system represents outdoor scenes using points
              instead of traditional polygons. Algorithms are then developed to
              extract, stylize and render features from this point
              representation. In addition to conveying various NPR styles, our
              system also promises consistency in animation by maintaining
              stroke coherence and density. We achieve NPR of large scale data
              at interactive rates by designing novel data structures and
              algorithms as well as leveraging new features of commodity
              graphics hardware. Our experiments have shown that our system
              offers a novel experience of large real world environment
              navigation that is more aesthetic and informative than that
              offered by traditional photorealistic rendering systems.},
  year = {2004},
  pages = {25--34},
}