Title: SHREC'20: Non-rigid Shape Correspondence of Physically-Based Deformations (data)
Citation
Dyke RM, Zhou F, Lai Y, et al. (2020). SHREC'20: Non-rigid Shape Correspondence of Physically-Based Deformations (data). Cardiff University. https://doi.org/10.17035/d.2020.0112374975
Access Rights: Data is provided under a Creative Commons Attribution (CC BY 4.0) licence
Access Method: Click to email a request for this data to opendata@cardiff.ac.uk
Dataset Details
Publisher: Cardiff University
Date (year) of data becoming publicly available: 2020
Coverage start date: 04/01/2020
Coverage end date: 04/03/2020
Data format: .obj, .txt
Software Required: MeshLab, CloudCompare, OpenFlipper
Estimated total storage size of dataset: Less than 100 megabytes
Number of Files In Dataset: 14
DOI : 10.17035/d.2020.0112374975
DOI URL: http://doi.org/10.17035/d.2020.0112374975
We have produced a new dataset from 3D scans of a non-rigid real-world object, captured using a high-precision 3D scanner (Artec3D Space Spider). Four extreme poses were captured of a toy rabbit, namely: 1.) twist, 2,) indent, 3.) inflate, 4.) stretch. The internal materials were also varied incrementally using three materials, namely: 1.) couscous, 2.) risotto, 3.) chickpea. These provide challenging deformations for typical shape matching methods. The dataset consists of one full scan and 11 partial scans.
Description
Keywords
3D Shape Retrieval, Shape correspondence
Related Projects
- Non-rigid registration of large-scale 3D deformations (01/10/2016 - 30/09/2020)