ML Anthology

Wavelet-Based Hierarchical Surface Approximation from Height Fields

Sang-Mook Lee, Daniel L. Schmoldt
CVPR 2004 pp. 299-305
doi:10.1109/CVPR.2004.268 /cvpr/2004/lee2004cvpr-wavelet/

Abstract

This 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.

CVPR Semantic Scholar

Cite

Text

Lee and Schmoldt. "Wavelet-Based Hierarchical Surface Approximation from Height Fields." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.268

Markdown

[Lee and Schmoldt. "Wavelet-Based Hierarchical Surface Approximation from Height Fields." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/lee2004cvpr-wavelet/) doi:10.1109/CVPR.2004.268

BibTeX

@inproceedings{lee2004cvpr-wavelet,
  title     = {{Wavelet-Based Hierarchical Surface Approximation from Height Fields}},
  author    = {Lee, Sang-Mook and Schmoldt, Daniel L.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {299-305},
  doi       = {10.1109/CVPR.2004.268},
  url       = {https://mlanthology.org/cvpr/2004/lee2004cvpr-wavelet/}
}