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

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of 2013 International Conference on Information Science and Computer Applications
PB  - Atlantis Press
SP  - 135
EP  - 140
SN  - 1951-6851
UR  - https://doi.org/10.2991/isca-13.2013.24
DO  - 10.2991/isca-13.2013.24
ID  - Zeng2013/10
ER  -