Plenoptic imaging reconstruction tools, developed in the context of the VOXEL project, part of the European Union's Horizon 2020 research and innovation programme (VOXEL H2020-FETOPEN-2014-2015-RIA GA 665207).
It provides a Python package that allows to read and manipulate light-field images. The provided features are:
- support for a few types of datasets and formats (including the .vox format).
- support for refocusing using standard algorithms like the integration [3] and Fourier [4] methods.
- support for GPU accelerated tomography based refocusing, including the following algorithms:
- unfiltered back-projection [1]
- SIRT [2]
- Chambolle-Pock (Least-square, TV) [2]
- support for depth estimation [5]
This work is based on the following articles:
- [1] N. Viganò, et al., “Tomographic approach for the quantitative scene reconstruction from light field images,” Opt. Express, vol. 26, no. 18, p. 22574, Sep. 2018.
- [2] N. Viganò, et al., “Advanced light-field refocusing through tomographic modeling of the photographed scene,” Opt. Express, vol. 27, no. 6, p. 7834, Mar. 2019.
It also implements methods from, the following articles:
- [3] R. Ng, et al., “Light Field Photography with a Hand-held Plenoptic Camera,” Stanford Univ. Tech. Rep. CSTR 2005-02, 2005.
- [4] R. Ng, “Fourier slice photography,” ACM Trans. Graph., vol. 24, no. 3, p. 735, 2005.
- [5] M. W. Tao, et al., “Depth from combining defocus and correspondence using light-field cameras,” Proceedings of the IEEE International Conference on Computer Vision, 2013, pp. 673–680.
Other useful information:
- Free software: GNU General Public License v3
- Documentation: [https://cicwi.github.io/plenoptomos]
It takes a few steps to setup plenoptomos on your machine. We recommend installing Anaconda package manager for Python 3.
Simply install with:
conda install -c n-vigano plenoptomos
To install plenoptomos, simply clone this GitHub project. Go to the cloned directory and run PIP installer:
git clone https://github.com/cicwi/plenoptomos.git
cd plenoptomos
pip install -e .
To learn more about the functionality of the package check out our examples folder.
- Nicola Viganò - Main developer
- Francesco Brun - Initial contributions
- Pablo Martinez Gil - Contributed to the creation and enabling of the .vox data format, and to the wavelet solver
- Charlotte Herzog - Contributed to the creation and enabling of the .vox data format
See also the list of contributors who participated in this project.
Contributions are always welcome. Please submit pull requests against the master branch.
If you have any issues, questions, or remarks, then please open an issue on GitHub.
This project is licensed under the GNU General Public License v3 - see the LICENSE.md file for details.
This package comes with a suggested data format for the light-fields. We refer to the File format section of the documentation for more information.