Multi-Scale Geometric Consistency Guided Multi-View Stereo

ACMM

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

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

Results on high-res ETH3D training dataset [2cm]

 

 

 

To finish reading, please visit source site

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78.87 87.47 83.70 86.82 70.79 77.51 66.41 64.88 70.07 72.06 85.36 84.87 89.85 85.52