NDLI: Abstraction of man-made shapes

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Abstraction of man-made shapes

Content Provider	ACM Digital Library
Author	Gooch, Amy Sheffer, Alla Mitra, Niloy J. Zhou, Qingnan Mehra, Ravish Long, Jeremy
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.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781605588582
DOI	10.1145/1661412.1618483
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-12-17
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Npr Shape analysis Perception Curve network
Content Type	Text
Resource Type	Article

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