Abstraction of man-made shapes

R. Mehra, Q. Zhou, J. Long, A. Sheffer, A. Gooch, N.J. Mitra
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia, volume 28, issue 5, article no.137 , (2009)

Abstraction of man-made shapes

Keywords

Curve network, Shape analysis, Perception, NPR

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.

Code

DOI: 10.1145/1618452.1618483

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