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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More


Deformable 3D Shape Matching


This dataset consists of a collection of 3D shapes undergoing nearly-isometric and within-class deformations. In particular, we provide two shape classes ("kid" and "fat kid") under different poses, where the same poses are applied to both classes. Filenames within each class are ordered by deviation from isometry, i.e. the last shape has the largest deformation with respect to the null pose. All shapes in the dataset are given in OFF format, have around 60k vertices and consistent triangulations.

Ground-truth: The shapes have compatible vertex ordering and thus the ground-truth correspondence is the identity. We are also including a text file which provides the symmetric ground-truth correspondence, that is, giving for each vertex its symmetric match on the same shape (self-isometry).

Download dataset

If you use the dataset, please cite the following paper:

Dense Non-Rigid Shape Correspondence Using Random Forests
E. Rodola, S. Rota Bulo, T. Windheuser, M. Vestner, and D. Cremers
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014


Notes

  • Several shapes have self-intersections, but in fact no topological changes (i.e. no merging of the triangles) of the mesh graph take place. There exists an extended version of this dataset with topological merges.
  • All shapes were created with DAZ Studio.

Rechte Seite

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More