Title: SHREC’19: Shape Correspondence with Isometric and Non-Isometric Deformations

Citation
Dyke R, Stride C, Lai Y, et al. (2019). SHREC’19: Shape Correspondence with Isometric and Non-Isometric Deformations. Cardiff University. http://doi.org/10.17035/d.2019.0072003316


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

Cardiff University Dataset Creators

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

Description

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.
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.

Report of research results based upon these data can be found at http://orca.cf.ac.uk/121530/




Keywords

3D Shape Retrieval, Shape correspondence

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Last updated on 2020-15-01 at 09:56