@article{Olson:2006:SEH,
optpostscript = {},
number = {3},
month = sep,
author = {Matt Olson and Hao Zhang},
optkey = {},
optannote = {},
url = {http://www.eg.org/EG/CGF/volume25/issue3/v25i3pp273-282.pdf.abstract.pdf;internal&action=paperabstract.action},
localfile = {papers/Olson.2006.SEH.pdf},
optkeywords = {},
doi = {http://dx.doi.org/10.1111/j.1467-8659.2006.00946.x},
optciteseer = {},
journal = EUROGRAPHICS2006,
volume = {25},
optwww = {},
title = {{S}ilhouette {E}xtraction in {H}ough {S}pace},
abstract = {Object-space silhouette extraction is an important problem in
fields ranging from non-photorealistic computer graphics to
medical robotics. We present an efficient silhouette extractor for
triangle meshes under perspective projection and make three
contributions. First, we describe a novel application of 3D Hough
transforms, which allows us to organize mesh data more effectively
for silhouette computations than the traditional dual transform.
Next, we introduce an incremental silhouette update algorithm
which operates on an octree augmented with neighbour information
and optimized for efficient low-level traversal. Finally, we
present a method for initial extraction of silhouette, using the
same data structure, whose performance is linear in the size of
the extracted silhouette. We demonstrate significant performance
improvements given by our approach over the current state of the
art.},
pages = {273--282},
year = {2006},
}
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