Segmentation and Skeleton Methods for Digital Shape Understanding

Franck Hétroy-Wheeler 1
1 MORPHEO - Capture and Analysis of Shapes in Motion
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : Digitised geometric shape models are essentially represented as a collection of primitives without a general coherence. Shape understanding aims at retrieving global information about the shape geometry, topology or functionality, for subsequent uses such as measurement, simulation or modification. In this context, this manuscript presents my main contributions to digital shape understanding, which are mostly based on shape decomposition and skeleton computation. The first part explores the faithfulness of the 3D mesh representation to the real world object, through topological and perceptual analyses, and suggests a conversion to a regular volumetric model. The second part focuses on shapes in motion and details tools to create, modify and analyse temporal mesh sequences. The third part explains through two concrete examples how digital shape understanding can help experts in medicine and forestry. Finally, three open questions for shape understanding of shapes in motion and scanned trees are discussed by way of perspectives.
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https://hal.inria.fr/tel-01246006
Contributor : Franck Hétroy-Wheeler <>
Submitted on : Thursday, December 17, 2015 - 9:50:44 PM
Last modification on : Monday, April 9, 2018 - 12:22:28 PM
Long-term archiving on : Saturday, April 29, 2017 - 8:35:27 PM

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Distributed under a Creative Commons Attribution - NonCommercial 4.0 International License

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  • HAL Id : tel-01246006, version 1

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Franck Hétroy-Wheeler. Segmentation and Skeleton Methods for Digital Shape Understanding. Graphics [cs.GR]. Université Grenoble Alpes, 2015. ⟨tel-01246006v1⟩

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