BDIS: Bayesian Dense Inverse Searching Method for Real-Time Stereo Surgical Image Matching

This is the CPU level real-time stereo software for minimally invasive surgery.

More demo can be found at youtube pages.

Compiling

The program was only tested under a 64-bit Linux distribution. SSE instructions from built-in X86 functions for GNU GCC were used.

Compile:
cd OF_dis_bayesian
chmod +x build.sh
./build.sh

The code depends on Eigen3 and OpenCV.

Usage

For testing:

1. ./run_bash_.sh generates the disparity. (chmod +x run_bash_)
2. Run Main.m in the matlab folder for visualization.

To integrate into your project, just complile include 'getDisp.h' and 'libFastPatchOF.so' in your project.

Citation:
@article{song2022bdis,
title={{BDIS}: Bayesian Dense Inverse Searching Method for Real-Time Stereo Surgical Image Matching},
author={Song, Jingwei and Zhu, Qiuchen and Lin, Jianyu and Ghaffari, Maani},
journal={IEEE Transactions on Robotics},
volume={39},
number={2},
pages={1388--1406},
year={2022},
publisher={IEEE}
}

@inproceedings{song2022bayesian,
title={Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery},
author={Song, Jingwei and Zhu, Qiuchen and Lin, Jianyu and Ghaffari, Maani},
booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
pages={333--344},
year={2022},
organization={Springer}
}

LICENCE CONDITIONS

This work is released under GPLv3 license. For commercial purposes, please contact the authors: jingweisong@yahoo.com, jingweisong.eng@outlook.com