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Mutual-Voting-for-Ranking-3D-Correspondences

Source code of PAMI 2023 paper

Introduction

pipeline

Repository layout

The repository contains a set of subfolders:

  • Linux - source code for Linux platform.
  • Windows - source code for Windows platform.
  • demo - test point clouds.

Build

MV depends on PCL (>= 1.10.1). Please install the library first.

To build MV, you need CMake (>= 3.23) and, of course, a compiler that supports >= C++11. The code in this repository has been tested on Windows (MSVC =2022 x64), and Linux (GCC =10.4.0). Machines nowadays typically provide higher support, so you should be able to build MAC on almost all platforms.

Windows version

Please refer to Compiling on Windows for details.

Linux version

Please refer to Compiling on Linux for details.

Data organization

Please refer to Demo for details.

Usage:

  • --help list all usages.

Required args:

  • --input_path input data path.
  • --output_path output data path.
  • --dataset_name dataset name.
  • --RANSAC_iters number of ransac iterations.

Optional args:

  • --no_logs forbid generation of log files.
  • --corr_index_mode input correspondence file contains indices instead of coordinates.

Citation

If you find this code useful for your work or use it in your project, please consider citing:

@article{yang2023mutual,
  title={Mutual Voting for Ranking 3D Correspondences},
  author={Yang, Jiaqi and Zhang, Xiyu and Fan, Shichao and Ren, Chunlin and Zhang, Yanning},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2023},
  publisher={IEEE}
}

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