by Rosenhahn, B and Klette, R
Abstract:
We exploit properties of geometric algebras (GAs) to model the 2D-3D pose estimation problem for free-form surfaces which are coupled with kinematic chains. We further describe local and global surface morphing approaches with GA and combine them with the 2D-3D pose estimation problem. As an application of the presented approach, human motion estimation is considered. The estimated joint angles are used to deform surface patches to gain more realistic human models and therefore more accurate pose estimation results. © Springer-Verlag 2004.
Reference:
Geometric algebra for pose estimation and surface morphing in human motion estimation (Rosenhahn, B and Klette, R), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 3322, 2004.
Bibtex Entry:
@article{rosenhahn2004geometricestimation,
author = "Rosenhahn, B and Klette, R",
journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "583--596",
title = "Geometric algebra for pose estimation and surface morphing in human motion estimation",
volume = "3322",
year = "2004",
abstract = "We exploit properties of geometric algebras (GAs) to model the 2D-3D pose estimation problem for free-form surfaces which are coupled with kinematic chains. We further describe local and global surface morphing approaches with GA and combine them with the 2D-3D pose estimation problem. As an application of the presented approach, human motion estimation is considered. The estimated joint angles are used to deform surface patches to gain more realistic human models and therefore more accurate pose estimation results. © Springer-Verlag 2004.",
issn = "0302-9743",
eissn = "1611-3349",
language = "eng",
}