Title: SHREC’19: Shape Correspondence with Isometric and Non-Isometric Deformations
Citation
Dyke RM, Stride C, Lai Y-K, et al. (2019). SHREC’19: Shape Correspondence with Isometric and Non-Isometric Deformations. Cardiff University. https://doi.org/10.17035/d.2019.0072003316
Access Rights: Creative Commons Attribution 4.0 International
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: 2019
Coverage start date: 21/01/2019
Coverage end date: 07/02/2019
Data format: .obj
Estimated total storage size of dataset: Less than 100 megabytes
Number of Files In Dataset: 2
DOI : 10.17035/d.2019.0072003316
DOI URL: http://doi.org/10.17035/d.2019.0072003316
Related URL: https://shrec19.cs.cf.ac.uk/
We have produced a new dataset from 3D scans of real-world objects, captured by ourselves using a high-precision 3D scanner (Artec3D Space Spider) designed for small objects. Each object exhibits one or more types of deformation. We classify these surface deformations into four distinct groups by level of complexity: 1.) articulating, 2.) bending, 3.) stretching, 4.) geometrically and topologically changing. Report of research results based upon these data can be found at http://orca.cf.ac.uk/121530/
Description
The dataset consists of scans of wooden mannequins and wooden hands that are articulated. Further types of deformation are produced by, creating clothes for the model from different fabrics.
Keywords
3D Shape Retrieval, Shape correspondence
Related Projects
- Non-rigid registration of large-scale 3D deformations (01/10/2016 - 30/09/2020)