Optimized 4D DPM for Pose Estimation on RGBD Channels using Polisphere Models

Enrique Martinez, Oliver Nina, Antonio J. Sánchez, Carlos Ricolfe

2017

Abstract

The Deformable Parts Model (DPM) is a standard method to perform human pose estimation on RGB images, 3 channels. Although there has been much work to improve such method, little work has been done on utilizing DPM on other types of imagery such as RGBD data. In this paper, we describe a formulation of the DPM model that makes use of depth information channels in order to improve joint detection and pose estimation using 4 channels. In order to offset the time complexity and overhead added to the model due to extra channels to process, we propose an optimization for the proposed algorithm based on solving direct and inverse kinematic equations, that form we can reduce the interested points reducing, at the same time, the time complexity. Our results show a significant improvement on pose estimation over the standard DPM model on our own RGBD dataset and on the public CAD60 dataset.

Paper Citation

in Harvard Style

Martinez E., Nina O., Sánchez A. and Ricolfe C. (2017). Optimized 4D DPM for Pose Estimation on RGBD Channels using Polisphere Models . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-226-4, pages 281-288. DOI: 10.5220/0006133702810288

in Bibtex Style

@conference{visapp17,
author={Enrique Martinez and Oliver Nina and Antonio J. Sánchez and Carlos Ricolfe},
title={Optimized 4D DPM for Pose Estimation on RGBD Channels using Polisphere Models},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={281-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006133702810288},
isbn={978-989-758-226-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017)
TI - Optimized 4D DPM for Pose Estimation on RGBD Channels using Polisphere Models
SN - 978-989-758-226-4
AU - Martinez E.
AU - Nina O.
AU - Sánchez A.
AU - Ricolfe C.
PY - 2017
SP - 281
EP - 288
DO - 10.5220/0006133702810288