This is a Matlab package that implements the kernel local descriptors presented in "Kernel Local Descriptors with Implicit Rotation Matching" at ICMR 2015 https://hal.inria.fr/hal-01145656.

This code implements:

1. Extraction of our local descriptor
2. Descriptor post-processing (power-law and PCA dimensionality reduction)
3. Evaluation on the Brown patch dataset

Run the following script:

>> extract
>> evaluate

False Positive Rate at 95% recall on Brown patch dataset:

If you use this work please cite our publication "Kernel Local Descriptors with Implicit Rotation Matching" from ICMR 2015 https://hal.inria.fr/hal-01145656:

@inproceedings{Bursuc15,
  title     = {Kernel Local Descriptors with Implicit Rotation Matching},
  author    = {Bursuc, Andrei and Tolias, Giorgos and J{\'e}gou, Herv{\'e}},
  booktitle = {ACM International Conference on Multimedia Retrieval},
  year      = {2015},
  url       = {https://hal.inria.fr/hal-01145656}
}

KDE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.