Skip to Main Content
Wavelet-based hierarchical surface approximation from height fieldsAuthor(s): Sang-Mook Lee; A. Lynn Abbott; Daniel L. Schmoldt
Source: Proceedings, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Publication Series: Miscellaneous Publication
PDF: View PDF (923.82 KB)
DescriptionThis paper presents a novel hierarchical approach to triangular mesh generation from height fields. A wavelet-based multiresolution analysis technique is used to estimate local shape information at different levels of resolution. Using predefined templates at the coarsest level, the method constructs an initial triangulation in which underlying object shapes are well preserved. Wavelet detail coefficients directly control the selection of appropriate templates, and are then used for subdividing and refining the initial mesh.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationLee, Sang-Mook; Abbott, A. Lynn; Schmoldt, Daniel L. 2004. Wavelet-based hierarchical surface approximation from height fields. Proceedings, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
- A user's guide to the ssWavelets package
- Some refinements on the comparison of areal sampling methods via simulation
- A canopy trimming experiment in Puerto Rico: The response of litter decomposition and nutrient release to canopy opening and debris deposition in a subtropical wet forest
XML: View XML