3D Representation Models Construction through a Volume Geometric Decomposition Method

Gisele Simas, Rodrigo de Bem, Silvia Botelho

2013

Abstract

Despite the fact of 3D motion tracking has being highly explored in the computer vision researches, it still faces some relevant challenges, such as the tracking of objects using few a priori knowledge. In this context, this work presents the Volume Geometric Decomposition method, capable of constructing representation models of distinct and previously unknown objects. This method is executed over a probabilistic volumetric reconstruction of the interested objects. It adjusts the representation to the reconstructed volume, minimizing the amount of empty space enclosed by the model. Such representation model is composed by an appearance and a kinematic models. The former is comprised of ellipsoids and joints, while the latter is implemented through the Loose-Limbed model, a probabilistic graphical model. The performed experiments and the obtained results shown that the proposed method successfully constructed representation models to highly distinct and a priori unknown objects.

Paper Citation

in Harvard Style

Simas G., de Bem R. and Botelho S. (2013). 3D Representation Models Construction through a Volume Geometric Decomposition Method . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 274-279. DOI: 10.5220/0004288502740279

in Bibtex Style

@conference{visapp13,
author={Gisele Simas and Rodrigo de Bem and Silvia Botelho},
title={3D Representation Models Construction through a Volume Geometric Decomposition Method},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={274-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004288502740279},
isbn={978-989-8565-48-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - 3D Representation Models Construction through a Volume Geometric Decomposition Method
SN - 978-989-8565-48-8
AU - Simas G.
AU - de Bem R.
AU - Botelho S.
PY - 2013
SP - 274
EP - 279
DO - 10.5220/0004288502740279