CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Error-Bounded Surface Remeshing with Minimal Angle Elimination
Hu, Kaimo; Yan, Dong-Ming; Yan, Benes Bedrich
Conference NameACM SIGGRAPH
Conference DateJuly 24-28, 2016
Conference PlaceAnaheim, CA
Surface remeshing is a key component in many geometry processing
applications. However, existing high quality remeshing methods
usually introduce approximation errors that are difficult to control,
while error-driven approaches pay little attention to the meshing
quality. Moreover, neither of those approaches can guarantee
the minimal angle bound in resulting meshes. We propose a novel
error-bounded surface remeshing approach that is based on minimal
angle elimination. Our method employs a dynamic priority queue
that first parameterize triangles who contain angles smaller than a
user-specified threshold. Then, those small angles are eliminated
by applying several local operators ingeniously. To control the geometric
fidelity where local operators are applied, an efficient local
error measure scheme is proposed and integrated in our remeshing
framework. The initial results show that the proposed approach is
able to bound the geometric fidelity strictly, while the minimal angles
of the results can be eliminated to be up to 40 degrees.
Indexed ByEI
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Document Type会议论文
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GB/T 7714
Hu, Kaimo,Yan, Dong-Ming,Yan, Benes Bedrich. Error-Bounded Surface Remeshing with Minimal Angle Elimination[C],2016.
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