Multi-Scale Geometric Consistency Guided Multi-View Stereo

Related tags

Deep Learning ACMM
Overview

ACMM

[News] The code for ACMH is released!!!
[News] The code for ACMP is released!!!

About

ACMM is a multi-scale geometric consistency guided multi-view stereo method for efficient and accurate depth map estimation. If you find this project useful for your research, please cite:

@article{Xu2019ACMM,  
  title={Multi-Scale Geometric Consistency Guided Multi-View Stereo}, 
  author={Xu, Qingshan and Tao, Wenbing}, 
  journal={Computer Vision and Pattern Recognition (CVPR)},
  year={2019}
}

Dependencies

The code has been tested on Ubuntu 14.04 with GTX Titan X.

Usage

  • Compile ACMM
cmake .  
make
  • Test
Use script colmap2mvsnet_acm.py to convert COLMAP SfM result to ACMM input   
Run ./ACMM $data_folder to get reconstruction results

SfM Reconstructions for Tanks and Temples Dataset

To ease comparison with other MVS methods with our method on Tanks and Temples dataset, we release our SfM reconstuctions on this dataset. They are obtained by COLMAP and can be downloaded from here.

Acknowledgements

This code largely benefits from the following repositories: Gipuma and COLMAP. Thanks to their authors for opening source of their excellent works.

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Comments
  • ACMM input question

    ACMM input question

    Hi, thank you for providing this amazing work 🥇 🥇

    please excuse ignorance , I am trying to use your method here with my SFM output , if I understood the script colmap2mvsnet_acm.py correctly the ACMM input is

    +── input_folder
│   +── cams
│   │   +── pair.txt
│   │   +── 00000000_cam.txt
│   │   +── 00000001_cam.txt
│   │   +── 00000002_cam.txt
│   │   +── ...
│   +── images
│   │   +── 00000000.jpg
│   │   +── 00000001.jpg
│   │   +── 00000002.jpg
│   │   +── ...

    the _cam.txt files are for example :

    extrinsic
7.49715011e+01 -6.19671023e+01 -1.02564244e+03  7.84223389e+00
3.71642195e+02  8.19559173e+02 -2.30744366e+02  3.18972292e+00
8.65385352e-01 -7.98839231e-02 -4.94698647e-01  8.12122229e-03
0. 0. 0. 1.

intrinsic
853.36265647 0. 577.21334278
0. 852.01008808 370.2930352
0. 0. 1.

<depth_value1> <depth_value2> <depth_value3> <depth_value4> <<<< depth range and interval

    the pairs.txt file is for example :

     20 
 1
 <len(sorted_score>
 2
 <len(sorted_score>
 3
 <len(sorted_score>
 ....
 <sorted_score[image_id][0]>  <sorted_score[s][0]>
 <sorted_score[image_id][1]>  <sorted_score[s][1]>
 ...

    my question is what are the 4 depth values range and interval ? and what is the sorted_score ?

    opened by Alihamdy2496 0
  • GPU memory increasing problem

    GPU memory increasing problem

    Hi GhiXu, Thanks for your work a lot! There might a bug in ACMM.cpp at line 584 and line 672. The pre_costs_cuda is allocated memory two times when params.hierarchy is True but release once.

    cudaMalloc((void**)&pre_costs_cuda, sizeof(float) * cameras[0].height * cameras[0].width);

    opened by zhanzhanmiao 0
Owner
Qingshan Xu
Ph.D. Candidate, HUST
Qingshan Xu
GitHub
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