Micro-lens-based-Matching-for-Scene-Recovery

Micro-lens-based Matching for Scene Recovery in Lenslet Cameras

CONTACT: Shuo Zhang
(zhangshuo@bjtu.edu.cn or shuo.zhang@buaa.edu.cn)

Any scientific work that makes use of our code should appropriately mention this in the text and cite our TIP2019 paper. For commercial use, please contact us.

PAPER TO CITE:

Shuo Zhang, Hao Sheng, Da Yang, Jun Zhang and Zhang Xiong, Micro-lens-based Matching for Scene Recovery in Lenslet Cameras, IEEE Transactions on Image Processing, 2018, 27(3), 1060-1075

BIBTEX TO CITE:

@article{Zhang2016Robust,
  title={Micro-lens-based Matching for Scene Recovery in Lenslet Cameras},
  author={Zhang, Shuo and Sheng, Hao and Yang, Da and Zhang, Jun and Xiong, Zhang},
  journal={IEEE Transactions on Image Processing},
  volume={27},
  pages={1060-1075},
  year={2018},     }

Note:

This package also includes part of following softwares
Fast cost volume filtering

How to use:

Run demo.m
(This software is tested using Matlab 2013a with Windows 7 64bit environment)

input: Complete light field image, where x,y changes in the angular domain firstly and the spatial domain secondly.

The image pre-processing calculation method for CVIA dataset input is provided. Other example input images from HCI 4D Light Field Dataset and 4D Light Field Dataset (CVIA Konstanz & HCI Heidelberg) can be found at: https://drive.google.com/drive/folders/0B5JdDRk-RkPXTEJDdmhuRWUyVkU?usp=sharing

Instructions for depth_opt.m:

opts.NumView : Angular Resolution of Light Field

opts.Dmin : Minimum disparity between two adjacent view × (opts.NumView-1)/2; If unknown，opts.Dmin can be set as -1.5×(opts.NumView-1)/2 for Lytro images;

opts.Dmax—— Maximum disparity between two adjacent view × (opts.NumView-1)/2; If unknown，opts.Dmax can be set as 1.5×(opts.NumView-1)/2 for Lytro images;

Time log:

2019.04.08 The package released.