NDLI: Multiresolution volume simplification and polygonization

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Multiresolution volume simplification and polygonization

Content Provider	ACM Digital Library
Author	Zhang, Nan Kaufman, Arie
Abstract	We propose a multiresolution volume simplification and polygonization algorithm. Traditionally, voxel-based algorithms lack the adaptive resolution support and consequently simplified volumes quickly lose sharp features after several levels of downsampling, while tetrahedral-based simplification algorithms usually generate poorly shaped triangles. In our method, each boundary cell is represented by a carefully selected representative vertex. The quadric error metrics are applied as the geometric error metric. Our approach first builds an error pyramid by bottom-up cell merging. We avoid topology problems in hierarchical cell merging by disabling erroneous cells and penalizing cells containing disconnected surface components with additional costs. Then, a top-down traversal is used to collect cells within a user specified error threshold. The surfacenets algorithm is used to polygonize these cells. We enhance it with online triangle shape optimization and budget control. Finally, we discuss a novel octree implementation which greatly eases the polygonization operations.
Starting Page	87
Ending Page	94
Page Count	8
File Format	PDF
ISBN	1581137451
ISSN	17278376
DOI	10.1145/827051.827064
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2003-07-07
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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