Global and Local Mesh Morphing for Complex Biological Objects from µCT Data

Knötel, David; Becker, Carola; Scholtz, Gerhard; Baum, Daniel

Global and Local Mesh Morphing for Complex Biological Objects from µCT Data

Files

179-183.pdf (540.45 KB)

morphing_our-poisson-interpolation_lobster-to-crab_carapace_side-view.mpg (13.85 MB)

morphing_our-poisson-interpolation_lobster-to-crab_carapace_top-view.mpg (18.93 MB)

morphing_our-poisson-interpolation_lobster-to-crab_tail_side-view.mpg (12.36 MB)

morphing_our-poisson-interpolation_lobster-to-crab_tail_top-view.mpg (15.36 MB)

Date

2018

Authors

Knötel, David
Becker, Carola
Scholtz, Gerhard
Baum, Daniel

Publisher

The Eurographics Association

Abstract

We show how biologically coherent mesh models of animals can be created from µCT data to generate artificial yet naturally looking intermediate objects. The whole pipeline of processing algorithms is presented, starting from generating topologically equivalent surface meshes, followed by solving the correspondence problem, and, finally, creating a surface morphing. In this pipeline, we address all the challenges that are due to dealing with complex biological, non-isometric objects. For biological objects it is often particularly important to obtain deformations that look as realistic as possible. In addition, spatially non-uniform shape morphings that only change one part of the surface and keep the rest as stable as possible are of interest for evolutionary studies, since functional modules often change independently from one another. We use Poisson interpolation for this purpose and show that it is well suited to generate both global and local shape deformations.

CCS Concepts Computing methodologies

        @inproceedings{10.2312:vcbm.20181243
,
booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine
},
editor = {Puig Puig, Anna and Schultz, Thomas and Vilanova, Anna and Hotz, Ingrid and Kozlikova, Barbora and Vázquez, Pere-Pau
},
title = {{Global and Local Mesh Morphing for Complex Biological Objects from µCT Data
}},
author = {Knötel, David and 
Becker, Carola and 
Scholtz, Gerhard and 
Baum, Daniel
},
year = {2018
},
publisher = {The Eurographics Association
},
ISSN = {2070-5786
},
ISBN = {978-3-03868-056-7
},
DOI = {10.2312/vcbm.20181243
}
}