BjoernHaefner / SRmeetsPS

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

SRmeetsPS

This repository contains the code for our paper:
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.

A CUDA version code is also available here.

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)
• Downsampling matrix (you can aquire with getDownsampleMat.m. The file name should be like D_1280_960_2.mat)

You can refer to the examples in the Data folder.

Requirement

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

Citation

If you use this code, please cite our paper:

@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},
}

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