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SHREC'20: Shape correspondence with non-isometric deformations - Sketchfab (data)

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posted on 2024-09-18, 10:50 authored by Roberto DykeRoberto Dyke, Yukun LaiYukun Lai, Paul RosinPaul Rosin

We have curated a dataset of 3D scans of objects from existing data repositories. All scans are of quadruped mammals. Shapes were primarily created using a variety of capturing techniques. Ground-truth corresdpondences were then established by three experts. Shapes (e.g., a giraffe and a dog) exhibit substantial non-isometric deformation, which prove challenging for existing shape matching methods. The dataset consists of both partial and watertight (i.e., full) meshes. Additional complexities caused by scanning, such as geometric and topological change, are also present. Pairs of shapes are assigned to test-sets of gradually increasing non-isometry.

This dataset has been split into two parts to help make the licences clearer. This part contains the following shapes: bison; dog; elephant_a; giraffe_a; hippo; leopard; pig; rhino.

Licence applicable to relevant part of data:

Name in dataset

Original name

Author

License

Hyperlink

Bison

Bison

Misterdevious

CC BY-NC-SA 4.0

link

Dog

Plastic Toy Dog -RAWscan

Spogna

CC BY-NC 4.0

link

Elephant_a

Plastic Elephant

Spogna

CC BY-NC 4.0

link

Giraffe_a

Giraffe Scanned by EinScan-S 3D Scanner

Shinning 3D

CC BY 4.0

link

hippo

Bronze hippo

Alban

CC BY 4.0

link

leopard

Cheetah

Moshe Caine

CC BY 4.0

link

pig

Pig

Lindy

CC BY 4.0

link

rhino

Model 56B - Southern White Rhino - Mesh Only

DigitalLife3D

CC BY 4.0

link



Funding

Non-rigid registration of large-scale 3D deformations (2016-10-01 - 2020-09-30); Dyke, Roberto. Funder: Engineering and Physical Sciences Research Council

History

Specialist software required to view data files

MeshLab, CloudCompare, OpenFlipper

Language(s) in dataset

  • English-Great Britain (EN-GB)

Data-collection start date

2020-02-18

Data-collection end date

2020-03-03

Usage metrics

    School of Computer Science and Informatics

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