Title :
Shape isophotic error netric controllable re-sampling for point-sampled surfaces
Author :
Miao, Yongwei ; Diaz-Gutierrez, Pablo ; Pajarola, Renato ; Gopi, M. ; Feng, Jieqing
Author_Institution :
State Key Lab. of CAD & CG, Zhejiang Univ., Hangzhou, China
Abstract :
Shape simplification and re-sampling of underlying point-sampled surfaces under user-defined error bounds is an important and challenging issue. Based on the regular triangulation of the Gaussian sphere and the surface normals mapping onto the Gaussian sphere, a Gaussian sphere based re-sampling scheme is presented that generates a non-uniformly curvature-aware simplification of the given point-sampled model. Owing to the theoretical analysis of shape isophotic error metric for did that Gaussian sphere based sampling, the proposed simplification scheme provides a convenient way to control the re-sampling results under a user-specified error metric bound. The novel algorithm has been implemented and demonstrated on several examples.
Keywords :
Gaussian processes; sampling methods; surface fitting; Gaussian sphere based resampling; point-sampled surface; regular triangulation; shape isophotic error metric controllable resampling; shape simplification; surface normal mapping; user-defined geometric error bound; Approximation algorithms; Approximation error; Error correction; Geometry; Image sampling; Iterative algorithms; Partitioning algorithms; Sampling methods; Shape control; Surface fitting; Gaussian sphere; error metric controllable; isophotic error metric; point-sampled surfaces; re-sampling;
Conference_Titel :
Shape Modeling and Applications, 2009. SMI 2009. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4069-6
Electronic_ISBN :
978-1-4244-4070-2
DOI :
10.1109/SMI.2009.5170160
