Related Experiment Video
Updated: Aug 7, 2026

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
Published on: April 18, 2025
Extraction and compression of hierarchical isocontours from image data
Thomas Lewiner1, Hélio Lopes, Luiz Velho
1Department of Mathematics, PUC, Rio de Janeiro, Brazil. thomas.lewiner@polytechnique.org
Abstract:
In this work, we introduce a new scheme to extract hierarchical isocontours from regular and irregular 2D sampled data and to encode it at single rate or progressively. A dynamic tessellation is used to represent and adapt the 2D data to the isocontour. This adaptation induces a controlled multi-resolution representation of the isocontour. This representation can then be encoded while controlling the geometry and topology of the decoded isocontour. The resulting algorithms form an efficient and flexible isocontour extraction and compression scheme.
More Related Videos
09:37Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
Published on: April 26, 2016
07:58Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
Published on: August 7, 2017
Related Concept Videos
Topographic Surveying and Contours
Methods of Obtaining Topography
Plotting of Topographic Maps
Level Curves and Contour Maps
Extraction: Partition and Distribution Coefficients
For extracting a solute from an aqueous phase into an organic...