ML Anthology

Automatic Configuration of Spectral Dimensionality Reduction Methods for 3D Human Pose Estimation

Michal Lewandowski, Dimitrios Makris, Jean-Christophe Nebel
ICCVW 2009 pp. 1314-1321
doi:10.1109/ICCVW.2009.5457457 /iccvw/2009/lewandowski2009iccvw-automatic/

Abstract

In this paper, our main contribution is a framework for the automatic configuration of any spectral dimensionality reduction methods. This is achieved, first, by introducing the mutual information measure to assess the quality of discovered embedded spaces. Secondly, we overcome the deficiency of mapping function in spectral dimensionality reduction approaches by proposing data projection between spaces based on fully automatic and dynamically adjustable Radial Basis Function network. Finally, this automatic framework is evaluated in the context of 3D human pose estimation. We demonstrate mutual information measure outperforms all current space assessment metrics. Moreover, experiments show the mapping associated to the induced embedded space displays good generalization properties. In particular, it allows improvement of accuracy by around 30% when refining 3D pose estimates of a walking sequence produced by an activity independent method.

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Cite

Text

Lewandowski et al. "Automatic Configuration of Spectral Dimensionality Reduction Methods for 3D Human Pose Estimation." IEEE/CVF International Conference on Computer Vision Workshops, 2009. doi:10.1109/ICCVW.2009.5457457

Markdown

[Lewandowski et al. "Automatic Configuration of Spectral Dimensionality Reduction Methods for 3D Human Pose Estimation." IEEE/CVF International Conference on Computer Vision Workshops, 2009.](https://mlanthology.org/iccvw/2009/lewandowski2009iccvw-automatic/) doi:10.1109/ICCVW.2009.5457457

BibTeX

@inproceedings{lewandowski2009iccvw-automatic,
  title     = {{Automatic Configuration of Spectral Dimensionality Reduction Methods for 3D Human Pose Estimation}},
  author    = {Lewandowski, Michal and Makris, Dimitrios and Nebel, Jean-Christophe},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2009},
  pages     = {1314-1321},
  doi       = {10.1109/ICCVW.2009.5457457},
  url       = {https://mlanthology.org/iccvw/2009/lewandowski2009iccvw-automatic/}
}