Precise and Automatic Anthropometric Measurement Extraction Using Template Registration - 15.155

O. Wasenmüller et al., "Precise and Automatic Anthropometric Measurement Extraction Using Template Registration", in Proc. of 6th Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2015, pp. 155-160, https://doi.org/10.15221/15.155.

Title:

Precise and Automatic Anthropometric Measurement Extraction Using Template Registration

Authors:

Oliver WASENMÜLLER, Jan C. PETERS, Vladislav GOLYANIK, Didier STRICKER

German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany

Abstract:

Anthropometric measures build the basis for many applications, such as custom clothing or biometric identity verification. Consequentially, the possibility to automatically extract them from human body scans is of high importance. In this paper we present a new approach based on landmarks and template registration. First, we propose a new method to define anthropometric measures once on a generic template using landmarks. After the initial definition the template can be registered against an individual body scan and the landmarks can be transferred to the scan using our second proposed algorithm. We apply our complete approach to real and synthetic human data and show that it outperforms the state-of-the-art for several measures.

Details:

Full paper: 15.155.pdf
Proceedings: 3DBST 2015, 27-28 Oct. 2015, Lugano, Switzerland
Pages: 155-160
DOI: 10.15221/15.155

License/Copyright notice:

Proceedings: © Hometrica Consulting - Dr. Nicola D'Apuzzo, Switzerland, hometrica.ch.
Authors retain all rights to individual papers, which are licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The papers appearing in the proceedings reflect the author's opinions. Their inclusion in the proceedings does not necessary constitute endorsement by the editor or by the publisher.

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