Multi-Object Matching

This repository contains code for the following methods of multi-object matching:

1. The proposed method: Multi-Image Semantic Matching by Mining Consistent Features, CVPR 2018 by Qianqian Wang, Xiaowei Zhou and Kostas Daniilidis.
2. Spectral method: "Solving the multi-way matching problem by permutation synchronization", NIPS 2013.
3. MatchLift: "Near-optimal joint object matching via convex relaxation", ICML 2014.
4. MatchALS: "Multi-Image Matching via Fast Alternating Minimization", CVPR 2015.

Usage

1 . Download WILLOW-ObjectClass Dataset at dataset/

cd dataset/
wget http://www.di.ens.fr/willow/research/graphlearning/WILLOW-ObjectClass_dataset.zip
unzip WILLOW-ObjectClass_dataset.zip
# remove problematic image and annotation
rm -f WILLOW-ObjectClass/Face/image_0160.*

2 . Download Alexnet Weights at hypercols/, and then extract feature descriptor hypercolumn from AlexNet.

cd ../hypercols/
wget http://www.cs.toronto.edu/~guerzhoy/tf_alexnet/bvlc_alexnet.npy
python run_willow.py

3 . run testWillow.m to test the code on WILLOW-ObjectClass dataset.

Citation

If you find this code useful for your research, please cite the following paper:

@inproceedings{zhou2015multi,
  title={Multi-image matching via fast alternating minimization},
  author={Zhou, Xiaowei and Zhu, Menglong and Daniilidis, Kostas},
  booktitle={ICCV},
  year={2015}
}
@inproceedings{wang2018multi,
  title={Multi-Image Semantic Matching by Mining Consistent Features},
  author={Wang, Qianqian and Zhou, Xiaowei and Daniilidis, Kostas},
  booktitle={CVPR},
  year={2018}
}

If you have any questions, please contact qw246@cornell.edu