Motion Data and Model Management for Applied Statistical Motion Synthesis
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Machine learning based motion modelling methods such as statistical modelling require a large amount of input data. In practice, the management of the data can become a problem in itself for artists who want to control the quality of the motion models. As a solution to this problem, we present a motion data and model management system and integrate it with a statistical motion modelling pipeline. The system is based on a data storage server with a REST interface that enables the efficient storage of different versions of motion data and models. The database system is combined with a motion preprocessing tool that provides functions for batch editing, retargeting and annotation of the data. For the application of the motion models in a game engine, the framework provides a stateful motion synthesis server that can load the models directly from the data storage server. Additionally, the framework makes use of a Kubernetes compute cluster to execute time consuming processes such as the preprocessing and modelling of the data. The system is evaluated in a use case for the simulation of manual assembly workers.
Description
@inproceedings{10.2312:stag.20191366,
booktitle = {Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference},
editor = {Agus, Marco and Corsini, Massimiliano and Pintus, Ruggero},
title = {{Motion Data and Model Management for Applied Statistical Motion Synthesis}},
author = {Herrmann, Erik and Du, Han and Fischer, Klaus and Slusallek, Philipp and Antakli, Andr� and Rubinstein, Dmitri and Schubotz, Ren� and Sprenger, Janis and Hosseini, Somayeh and Cheema, Noshaba and Zinnikus, Ingo and Manns, Martin},
year = {2019},
publisher = {The Eurographics Association},
ISSN = {2617-4855},
ISBN = {978-3-03868-100-7},
DOI = {10.2312/stag.20191366}
}