An adaptive hierarchical approach to the extraction of high resolution medial surfaces

Luca Rossi, Andrea Torsello

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

We introduce a novel algorithm for medial surfaces extraction that is based on the density-corrected Hamiltonian analysis. The approach extracts the skeleton directly from a triangulated mesh and adopts an adaptive octree-based approach in which only skeletal voxels are refined to a lower level of the hierarchy, resulting in robust and accurate skeletons at extremely high resolution. The quality of the extracted medial surfaces is confirmed by an extensive set of experiments.

Original languageEnglish
Title of host publicationProceedings - 2nd Joint 3DIM/3DPVT Conference
Subtitle of host publication3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012
Pages371-378
Number of pages8
DOIs
Publication statusPublished - Oct 2012
Externally publishedYes
Event2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012 - Zurich, Switzerland
Duration: 13 Oct 201215 Oct 2012

Publication series

NameProceedings - 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012

Conference

Conference2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012
Country/TerritorySwitzerland
CityZurich
Period13/10/1215/10/12

Keywords

  • Hierarchical Skeleton
  • Medial Surface
  • Surface Skeleton

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Modelling and Simulation

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