Abstract:
Man-made objects are ubiquitous in the real world and in virtual
environments. While such objects can be very detailed, capturing
every small feature, they are often identified and characterized
by a small set of defining curves. Compact, abstracted shape descriptions
based on such curves are often visually more appealing
than the original models, which can appear to be visually cluttered.
We introduce a novel algorithm for abstracting three-dimensional
geometric models using characteristic curves or contours as building
blocks for the abstraction. Our method robustly handles models
with poor connectivity, including the extreme cases of polygon
soups, common in models of man-made objects taken from online
repositories. In our algorithm, we use a two-step procedure that first
approximates the input model using a manifold, closed envelope
surface and then extracts from it a hierarchical abstraction curve
network along with suitable normal information. The constructed
curve networks form a compact, yet powerful, representation for
the input shapes, retaining their key shape characteristics while discarding
minor details and irregularities.
Bibtex:
@article{mzlsgm_abstraction_siga_09,
AUTHOR = "Ravish Mehra and Qingnan Zhou and Jeremy Long and Alla Sheffer and Amy Gooch and Niloy J. Mitra",
TITLE = "Abstraction of Man-Made Shapes",
JOURNAL = "{ACM} Transactions on Graphics",
VOLUME = "28",
NUMBER = "5",
PAGES = "\#137, 1-10",
YEAR = "2009",
}