@article{Tan:2005:HRW,
  optpostscript = {},
  number = {1},
  month = {jan/feb},
  author = {Kar-han Tan and Rogerio Feris and Matthew Turk and James Kobler and
            Jingyi Yu and Ramesh Raskar},
  optkey = {},
  optannote = {},
  localfile = {papers/Tan.2005.HRW.pdf},
  optkeywords = {},
  doi = {http://dx.doi.org/10.1109/MCG.2005.10},
  optciteseer = {},
  journal = j-IEEE-CGA,
  opturl = {},
  volume = {25},
  optwww = {},
  title = {{H}arnessing {R}eal-{W}orld {D}epth {E}dges with {M}ultiflash
           {I}maging},
  abstract = {A method for capturing geometric features of real-world scenes
              relies on a simple capture setup modification. The system might
              conceivably be packaged into a portable self-contained device. The
              multiflash imaging method bypasses 3D geometry acquisition and
              directly acquires depth edges from images. In the place of
              expensive, elaborate equipment for geometry acquisition, we use a
              camera with multiple strategically positioned flashes. Instead of
              having to estimate the full 3D coordinates of points in the scene
              (using, for example, 3D cameras) and then look for depth
              discontinuities, our technique reduces the general 3D problem of
              depth edge recovery to one of 2D intensity edge detection. Our
              method could, in fact, help improve current 3D cameras, which tend
              to produce incorrect results near depth discontinuities.
              Exploiting the imaging geometry for rendering provides a simple
              and inexpensive solution for creating stylized images from real
              scenes. We believe that our camera will be a useful tool for
              professional artists and photographers, and we expect that it will
              also let the average user easily create stylized imagery.},
  pages = {32- 38},
  year = {2005},
}