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Authors: Enrique Martinez 1 ; Oliver Nina 2 ; Antonio J. Sánchez 1 and Carlos Ricolfe 3

Affiliations: 1 Universitat Politecnica de Valencia, Spain ; 2 University of Central Florida, United States ; 3 Universitat Politecnica de València, Spain

Keyword(s): Human Pose Estimation, DPM, RGBD Images, Inverse Kinematics.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction

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.

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Paper citation in several formats:
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 (VISIGRAPP 2017) - Volume 5: VISAPP; ISBN 978-989-758-226-4; ISSN 2184-4321, SciTePress, pages 281-288. DOI: 10.5220/0006133702810288

@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 (VISIGRAPP 2017) - Volume 5: VISAPP},
year={2017},
pages={281-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006133702810288},
isbn={978-989-758-226-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP
TI - Optimized 4D DPM for Pose Estimation on RGBD Channels using Polisphere Models
SN - 978-989-758-226-4
IS - 2184-4321
AU - Martinez, E.
AU - Nina, O.
AU - Sánchez, A.
AU - Ricolfe, C.
PY - 2017
SP - 281
EP - 288
DO - 10.5220/0006133702810288
PB - SciTePress