An Improved Approach for Depth Data based Face Pose Estimation using Particle Swarm Optimization

Xiaozheng Mou, Han Wang

2014

Abstract

This paper presents an improved approach for face pose estimation based on depth data using particle swarm optimization (PSO). In this approach, the frontal face of the system-user is first initialized and its depth image is taken as a person-specific template. Each query face of that user is rotated and translated with respect to its centroid using PSO to match with the template. Since the centroid of each query face always changes with the face pose changing, a common reference point has to be defined to measure the exact transformation of the query face. Thus, the nose tips of the optimal transformed face and the query face are localized to recompute the transformation from the query face to the optimal transformed face that matched with the template. Using the recomputed rotation and translation information, finally, the pose of the query face can be approximated by the relative pose between the query face and the template face. Experiments on public database show that the accuracy of this new method is more than 99%, which is much higher than the best performance (< 91%) of existing work.

Paper Citation

in Harvard Style

Mou X. and Wang H. (2014). An Improved Approach for Depth Data based Face Pose Estimation using Particle Swarm Optimization . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 534-541. DOI: 10.5220/0004732305340541

in Bibtex Style

@conference{visapp14,
author={Xiaozheng Mou and Han Wang},
title={An Improved Approach for Depth Data based Face Pose Estimation using Particle Swarm Optimization},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={534-541},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004732305340541},
isbn={978-989-758-004-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - An Improved Approach for Depth Data based Face Pose Estimation using Particle Swarm Optimization
SN - 978-989-758-004-8
AU - Mou X.
AU - Wang H.
PY - 2014
SP - 534
EP - 541
DO - 10.5220/0004732305340541