The Application of MRF Based-on Chaos-PSO Optimization in Depth Information Estimation
- 10.2991/isca-13.2013.24How to use a DOI?
- signal vision; markov random field;depth estimation; chaos-PSO optimization
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.
- © 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/).
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 - 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 -