/DepthFusion

Fuse multiple depth frames into a point cloud

Primary LanguagePythonMIT LicenseMIT

Depth Fusion with Consistency Check

intro

Requirements

  • python 3.6 (Anaconda)
  • pip install -r requirements.txt

Consistency Check

check

Usage

  • In run.sh, set root_path to the top directory, the organization is compatible with the outputs of UCSNet. If you want to process your custom data, please modify the load_data function
  • Adjust prob_thresh, dist_thresh and num_consist accordingly
  • bash run.sh

Citing

This repository is a part of UCSNet, the code will be available after the paper be accepted. If you find this project useful for your research, please cite:

@inproceedings{cheng2020deep,
  title={Deep stereo using adaptive thin volume representation with uncertainty awareness},
  author={Cheng, Shuo and Xu, Zexiang and Zhu, Shilin and Li, Zhuwen and Li, Li Erran and Ramamoorthi, Ravi and Su, Hao},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={2524--2534},
  year={2020}
}