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SHREC'20: Shape correspondence with non-isometric deformations - AIM@SHAPE (data)

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posted on 2024-09-18, 10:51 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 from the AIM@SHAPE-VISIONAIR Shape Repository: elephant_b, giraffe_b, cow, camel_a, camel_b, bear.

Name in dataset

Original name

Author

License

Hyperlink

elephant_b

Livingstone elephant - full resolution, watertight, without auto-intersections


AIM@SHAPE

link

giraffe_b

390 wrl


AIM@SHAPE

link

cow

381 wrl


AIM@SHAPE

link

camel_a

17-Camel


None*

link

camel_b

140-Camel


Free*+

link

bear

139-Bear


Free*+

link

*When downloading these models you must still agree to the AIM@SHAPE General License for Shapes.

+These models are also available from another source (http://www.wisdom.weizmann.ac.il/~vision/indexing/data.html)

The Licence terms for these data are available at http://visionair.ge.imati.cnr.it/ontologies/shapes/download.jsp?id=803-Neptune_-_clean__watertight__4M_triangles_&classid=ManifoldSurfaceMesh&groupid=&type=original


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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