With the rising popularity of Augmented and Virtual Reality, there is a need for representing humans as virtual avatars in various application domains ranging from remote telepresence, games to medical applications. Besides explicitly modelling 3D avatars, sensing approaches that create person-specific avatars are becoming popular. However, affordable solutions typically suffer from a low visual quality and professional solution are often too expensive to be deployed in nonprofit projects. We present an open-source project, BodyDigitizer, which aims at providing both build instructions and configuration software for a high-resolution photogrammetry-based 3D body scanner. Our system encompasses up to 96 Rasperry PI cameras, active LED lighting, a sturdy frame construction and open-source configuration software. %We demonstrate the applicability of the body scanner in a nonprofit Mixed Reality health project. The detailed build instruction and software are available at http://www.bodydigitizer.org.
Cite
@article{arxiv.1710.01370,
title = {BodyDigitizer: An Open Source Photogrammetry-based 3D Body Scanner},
author = {Travis Gesslein and Daniel Scherer and Jens Grubert},
journal= {arXiv preprint arXiv:1710.01370},
year = {2017}
}
Comments
changed template, minor modifications for camera ready version