AurelienBesnier / photon_mapping

Photon mapping with python wrapper

photon_mapping

minimal but extensible header only implementation of photon mapping in C++.

Note

This Project aims at determining the illumination of virtual plants and study the influence of their environment.

How to compile:

create and activate the conda environment:

conda env create -f environment.yml
conda activate photonmap

To install as a Python library:

python -m pip install ./

To compile the source code without installing (useful for debugging):

mkdir ./build && cd ./build
cmake -DCMAKE_BUILD_TYPE=Debug ../
make -j

How to run example:

conda activate photonmap
cd examples/python/plantgl-rad-scene
python planglRadScene.py

• Le résultat de la simulation se retrouve dans le dossier: ./results/
• Les outils pour évaluation le résultat: ./Evaluation Simulation SEC2/

Features

• Direct illumination with explicit light sampling
• Indirect illumination with final gathering
• Caustics photon map
• Load obj model

Requirements

• C++ (20>=)
• CMake (3.20>=)
• OpenMP
• Embree (>=3)

Externals

• Embree
• tinyobjloader

Authors

This project was originaly developed by yumcyawiz. Main extension were developed by Aurélien Besnier and Nguyen Tuan Minh with contribution of J. Bertheloot, F. Boudon, E. Faure. This work was funded by INRAe Metaprogramme DIGIT-BIO (Digital biology to explore and predict living organisms in their environment).

Use case

This project is used in the coupling of MorphoNet and L-Py for the project Physioscope.

References

original git: https://github.com/yumcyaWiz/photon_mapping

• Jensen, Henrik Wann. Realistic image synthesis using photon mapping. AK Peters/crc Press, 2001.
• https://pbr-book.org/3ed-2018/Light_Transport_III_Bidirectional_Methods/Stochastic_Progressive_Photon_Mapping#
• http://www.cs.cmu.edu/afs/cs/academic/class/15462-s12/www/lec_slides/lec18.pdf
• memoRANDOM
• McGuire Computer Graphics Archive
• Rendering Resources | Benedikt Bitterli's Portfolio
• Jensen, Henrik Wann. "Global illumination using photon maps." Eurographics workshop on Rendering techniques. Springer, Vienna, 1996.
• Veach, Eric. Robust Monte Carlo methods for light transport simulation. Stanford University, 1998.
• Christensen, Per H. "Faster photon map global illumination." Journal of graphics tools 4.3 (1999): 1-10.
• Hachisuka, Toshiya, Jacopo Pantaleoni, and Henrik Wann Jensen. "A path space extension for robust light transport simulation." ACM Transactions on Graphics (TOG) 31.6 (2012): 1-10.