Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
src
 
 
 
 
 
 
 
 

README.md

SRmeetsPS

This repository contains the code for our papers:

Songyou Peng, Bjoern Haefner, Yvain Queau and Daniel Cremers, "Depth Super-Resolution Meets Uncalibrated Photometric Stereo", In IEEE Conference on Computer Vision (ICCV) Workshop, 2017.

and

Bjoern Haefner*, Songyou Peng*, Alok Verma*, Yvain Queau and Daniel Cremers, "Photometric Depth Super-Resolution", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019. (* equally contributed)

A CUDA version code is also available here.

alt tag

Input

  • Super-resolution RGB images (at least 4 images)
  • Super-resolution binary mask
  • Low-resolution depth images (1 image is fine, same size as RGB image is also fine)
  • Intrinsic matrix (containing the focal length and principle points of the RGB images)
  • [Optional] Downsampling matrix (you can aquire with getDownsampleMat.m)

All the real-world data can be found at this link.

Requirement

  • MATLAB (tested and working in R2015b and later versions)
  • [Optional] CMG solver (recommended)

Citation

If you use this code, please cite our papers:

@inproceedings{peng2017iccvw,
 author =  {Songyou Peng and Bjoern Haefner and Yvain Qu{\'e}au and Daniel Cremers},
 title = {{Depth Super-Resolution Meets Uncalibrated Photometric Stereo}},
 year = {2017},
 booktitle = {IEEE International Conference on Computer Vision (ICCV) Workshop},
}

and

@inproceedings{haefner2018pdsr,
 author =  {Bjoern Haefner and Songyou Peng and Alok Verma and Yvain Qu{\'e}au and Daniel Cremers},
 title = {Photometic Depth Super-Resolution},
 year = {2019},
 booktitle = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
}

Contact Songyou Peng ✉️ for questions, comments and reporting bugs.

About

Source code for our paper "Depth Super-Resolution Meets Uncalibrated Photometric Stereo"

Topics

Resources

License

Releases

No releases published

Packages

No packages published

Languages

You can’t perform that action at this time.