Matlab implementation for AAAI 2024 paper LOPR:
Yifan Xia, Yifan Lu, Yuan Gao*, and Jiayi Ma*. "Locality Preserving Refinement for Shape Matching with Functional Maps", in Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), Feb. 2024.
This paper focuses on the pointwise map recovery problem of functional maps in shape-matching. By embedding geometric constraints into the spectral domain, we propose a novel and effective method based on locality consistency, which has proven efficiency and accuracy.
If you find this project useful, please cite:
@inproceedings{xia2024locality,
title={Locality Preserving Refinement for Shape Matching with Functional Maps},
author={Yifan Xia, Yifan Lu, Yuan Gao, and Jiayi Ma},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
year={2024}
}
Please unzip the gspbox.zip and utils.zip in this directory.
This demo requires Matlab environment and GPU. (GPU accelerates the KNN, and users can convert to CPU.)
Run the demo.m.