Proceedings of 2013 International Conference on Information Science and Computer Applications

The Application of MRF Based-on Chaos-PSO Optimization in Depth Information Estimation

Authors
Xiangjin Zeng, Cheng Lu
Corresponding Author
Xiangjin Zeng
Available Online October 2013.
DOI
https://doi.org/10.2991/isca-13.2013.24How to use a DOI?
Keywords
signal vision; markov random field;depth estimation; chaos-PSO optimization
Abstract
For depth information estimation of vision image, a blur parameter model of defocus image based on Markov random field (MRF) has been present. It converts problem of depth estimation into optimization problem. An improved chaos-PSO Algorithm has been applied to complete optimization problem, which prevents that the result gets into local optimization. The experiments and simulations prove that the model and algorithm are efficiency.
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Proceedings
2013 International Conference on Information Science and Computer Applications (ISCA 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
978-90786-77-85-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/isca-13.2013.24How 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  - Xiangjin Zeng
AU  - Cheng Lu
PY  - 2013/10
DA  - 2013/10
TI  - The Application of MRF Based-on Chaos-PSO Optimization in Depth Information Estimation
BT  - 2013 International Conference on Information Science and Computer Applications (ISCA 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/isca-13.2013.24
DO  - https://doi.org/10.2991/isca-13.2013.24
ID  - Zeng2013/10
ER  -