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Shape isophotic error metric controllable re-sampling for point-sampled surfaces


Miao, Y; Diaz-Gutierrez, P; Pajarola, R; Gopi, M; Feng, J (2009). Shape isophotic error metric controllable re-sampling for point-sampled surfaces. In: IEEE International Conference of Shape Modeling and Applications, Beijing, China, 26 June 2009 - 28 June 2009, 28-35.

Abstract

Shape simplification and re-sampling of underlying point-sampled surfaces under userdefined 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.

Shape simplification and re-sampling of underlying point-sampled surfaces under userdefined 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.

Citations

3 citations in Web of Science®
6 citations in Scopus®
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:28 June 2009
Deposited On:09 Feb 2010 13:35
Last Modified:30 Oct 2016 06:29
Publisher DOI:https://doi.org/10.1109/SMI.2009.5170160
Permanent URL: https://doi.org/10.5167/uzh-29728

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