Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Application of Time-varying Acceleration Coefficients PSO to Face Pose Estimation

Authors
Yudong Zhang, Shuihua Wang, Genlin JI
Corresponding Author
Yudong Zhang
Available Online July 2015.
DOI
https://doi.org/10.2991/icismme-15.2015.12How to use a DOI?
Keywords
Face pose estimation; particle swarm optimization; time-varying acceleration coefficients; genetic algorithm; noise-free.
Abstract
This study focuses on the problem of human face pose estimation based on single image. Traditional methods for 2D-3D feature based pose estimation problem require two inputs, and they cannot work well due to lack of correspondences of input images. We transfer the problem into an optimization problem via six-point template, and solve the problem by time-varying acceleration coefficients particle swarm optimization (TVAC-PSO). Experiments on 40 different poses demonstrate that the TVAC-PSO is superior to either GA or PSO in terms of accuracy.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
First International Conference on Information Sciences, Machinery, Materials and Energy
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/icismme-15.2015.12How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yudong Zhang
AU  - Shuihua Wang
AU  - Genlin JI
PY  - 2015/07
DA  - 2015/07
TI  - Application of Time-varying Acceleration Coefficients PSO to Face Pose Estimation
BT  - First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 63
EP  - 68
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.12
DO  - https://doi.org/10.2991/icismme-15.2015.12
ID  - Zhang2015/07
ER  -