PFAUST Benchmark

Overview

The PFAUST benchmark is a dataset created for evaluating partial shape correspondence algorithms. It derives from the FAUST remeshed dataset, following a methodology inspired by SHREC'16's adaptation of TOSCA. This benchmark includes two datasets, PFAUST-M and PFAUST-H, designed to present medium and hard difficulties in shape matching due to varying levels of missing regions.

Dataset Creation

Each shape in the FAUST dataset was processed by selecting ( m ) vertices at random, and removing all other vertices within a geodesic radius ( r ) around each selected vertex. Only the largest connected component was retained, ensuring the remaining shape has one connecting component.

Datasets

PFAUST-M

• Difficulty: Medium
• Parameters: ( r = 0.16 ), ( m = 4 )
• Contents: 80 partial shapes and 8 full shapes in the training set; 20 partial and 2 full shapes in the test set.

PFAUST-H

• Difficulty: Hard
• Parameters: ( r = 0.1 ), ( m = 13 )
• Contents: Same structure as PFAUST-M, with a higher number of smaller holes altering the topology more significantly.

Full Shapes

The 10 full shapes used in this benchmark are not included in the repository. Users need to download them directly from the FAUST remeshed dataset. Ensure you have the full shapes with IDs ending in 0 for both the training and test sets.

BibTeX

If you use the PFAUST benchmark in your research, please cite the following works:

@Article{bracha2023partial,
        title={On Partial Shape Correspondence and Functional Maps},
        author={Bracha, Amit and Dag{\`e}s, Thomas and Kimmel, Ron},
        journal={arXiv preprint arXiv:2310.14692},
        year={2023}
        }