The Application of MRF Based-on Chaos-PSO Optimization in Depth Information Estimation
- Xiangjin Zeng, Cheng Lu
- Corresponding Author
- Xiangjin Zeng
Available Online October 2013.
- https://doi.org/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.
- 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 -