Automatic Transfer of Landmarks on Human Skulls using GPU-based Non-rigid Registration

Innmann M, Erhardt P, Schütz D, Greiner G (2017)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Pages Range: 131 - 135

Conference Proceedings Title: GCH 2017 - Eurographics Workshop on Graphics and Cultural Heritage

Event location: Graz AT

ISBN: 978-3-03868-037-6

URI: https://diglib.eg.org:443/handle/10.2312/gch20171304

DOI: 10.2312/gch.20171304

Abstract

In this work, we present a novel approach to automatically transfer landmarks from a template mesh of a human skull to other meshes obtained via 3D scanning. Since previous methods rely on user input or only work on a subset of the data, these algorithms are not suited for large databases. Our system is designed to work for arbitrary meshes of human skulls, i.e. having artifacts like incomplete geometry or being non-watertight. Since the input data has no common orientation, we first apply a rigid coarse registration followed by a refinement. Afterwards, the remaining geometric deviation is removed by non-rigidly deforming one mesh into the other. With this precise geometric mapping, arbitrary landmarks can be transferred easily. To ensure efficient computation, we use a highly optimized GPU implementation to solve arising optimization problems. We apply our method to a dataset consisting of 1200 models acquired via structured light scanning and evaluate its accuracy on a subset of these models.

Authors with CRIS profile

Matthias Innmann Chair of Visual Computing (LGDV) Günther Greiner Chair of Visual Computing (LGDV)

Related research project(s)

None - None

Involved external institutions

Christian-Albrechts-Universität zu Kiel DE Germany (DE)

How to cite

APA:

Innmann, M., Erhardt, P., Schütz, D., & Greiner, G. (2017). Automatic Transfer of Landmarks on Human Skulls using GPU-based Non-rigid Registration. In The Eurographics Association (Eds.), GCH 2017 - Eurographics Workshop on Graphics and Cultural Heritage (pp. 131 - 135). Graz, AT.

MLA:

Innmann, Matthias, et al. "Automatic Transfer of Landmarks on Human Skulls using GPU-based Non-rigid Registration." Proceedings of the 15th EUROGRAPHICS Workshop on Graphics and Cultural Heritage, Graz Ed. The Eurographics Association, 2017. 131 - 135.

BibTeX: Download