--- pretty_name: SHREC 2021 Track Database for Quantifying Shape Complexity --- # Dataset Card for SHREC 2021 Track Database The SHREC 2021 Track on Quantifying Shape Complexity aimed to provide a benchmark for the quantification of 3D shape complexity. Shape complexity is an ill-defined concept. Hence, the concept is explored complexity multiple tasks and data collections. Due to the relative nature of complexity, a linear order may not make sense. There may be multiple aspects of complexity that can be measured. - In the first collection, we consider synthetically acquired noisy cubes and spheres. - The second collection consists of abstract shapes and is made up of two subcollections each composed of 25 shapes. - The third part consists of the categorized shapes of the Princeton Segmentation Benchmark (Chen et al., "A Benchmark for 3D Mesh Segmentation", TOG, 28.3, 2009). Collection 3 can be accessed at [here](https://segeval.cs.princeton.edu). Each of these collections can be considered as seeking a different aspect of shape complexity. ## Dataset Structure All datasets consist of zipped OBJ 3D mesh files. ## Dataset Creation The data in collections 1 and 2 was created by the organizers of the SHREC 2021 track on Quantifying Shape Complexity: - M. Ferhat Arslan - Middle East Technical University, Department of Computer Engineering - Alexandros Haridis - Massachusetts Institute of Technology, Department of Architecture - Paul L. Rosin - Cardiff University, School of Computer Science & Informatics
- Sibel Tari - Middle East Technical University, Department of Computer Engineering ## Citation **BibTeX:** ``` @article{arslan2022shrec, title={SHREC’21: Quantifying shape complexity}, author={Arslan, Mazlum Ferhat and Haridis, Alexandros and Rosin, Paul L and Tari, Sibel and Brassey, Charlotte and Gardiner, James D and Genctav, Asli and Genctav, Murat}, journal={Computers \& Graphics}, volume={102}, pages={144--153}, year={2022}, } ``` ## Dataset Card Contact Paul Rosin\ Cardiff University\ [rosinpl@cardiff.ac.uk](mailto:rosinpl@cardiff.ac.uk)