Bibtex
Automatic Data Normalization and Parameterization for Optical Motion Tracking
@article{dhk06,
author="Sandip Sar Dessai and Alexander Hornung and Leif Kobbelt",
title="{A}utomatic {D}ata {N}ormalization and {P}arameterization for {O}ptical {M}otion {T}racking",
journal="Journal of Virtual Reality and Broadcasting",
editor = "Jens Herder",
year="2006",
volume="3",
number="3",
month=aug,
note="{\tt urn:nbn:de:0009-6-5481}, ISSN 1860-2037",
abstract = "Methods for optical motion capture often require timeconsuming
manual processing before the data can be
used for subsequent tasks such as retargeting or character
animation. These processing steps restrict the
applicability of motion capturing especially for dynamic
VR-environments with real time requirements.
To solve these problems, we present two additional,
fast and automatic processing stages based on our motion
capture pipeline presented in [HSK05]. A normalization
step aligns the recorded coordinate systems
with the skeleton structure to yield a common and intuitive
data basis across different recording sessions. A
second step computes a parameterization based on automatically
extracted main movement axes to generate
a compact motion description. Our method does not
restrict the placement of marker bodies nor the recording
setup, and only requires a short calibration phase."
}
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