Paper Info
Title
BodyDigitizer: An Open Source Photogrammetry-based 3D Body Scanner.
Abstract
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 this http URL.
Year
Venue
Field
2017
arXiv: Computer Vision and Pattern Recognition
Virtual reality,Computer science,Popularity,Human–computer interaction,Software,Ranging,Artificial intelligence,Computer vision,Photogrammetry,Scanner,Mixed reality,Machine learning,LED lamp
DocType
Volume
Citations 
Journal
abs/1710.01370
0
PageRank 
References 
Authors
0.34
11
3
Name
Order
Citations
PageRank
Travis Gesslein1163.51
Daniel Scherer200.68
Jens Grubert326626.98