• Download the benchmark (184Mb)

• Instructions

SCAPE: 71 meshes representing a human body in different poses. All the meshes were fit to scanner data with a common template (thus corresponding vertices have same IDs).
TOSCA: 80 meshes representing people and animals in a variety of poses. The meshes appear in 8 groups with common topology (corresponding within the same class have the same ID).
Watertight: 400 meshes arranged evenly in 20 object categories, many of which are articulated figures (humans, octopus, four-legged animals, ants, etc.). We selected 11 classes for our experiments that have well defined correspondences and genus zero. In addition, we excluded two human models with non-zero genus.
Download the benchmark (184Mb): this package includes meshes from aforementioned datasets (in *.off format, with consistent normal orientation and after delaunay triangulation (via edge flips) filter. It also contains manually selected ground truth correspondences and some useful processing scripts. If you use the datasets you should cite:
[1] The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Hoi-Cheung Pang, and James Davis. Proc. Neural Information Processing Systems (NIPS), 2004[2] The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces Alex Bronstein, Michael Bronstein, and Ron Kimmel Springer, 2008[3] SHREC: shape retrieval contest: Watertight models track Daniela Giorgi, Silvia Biasotti, Laura Paraboschi http://watertight.ge.imati.cnr.it, 2007[4] Blended Intrinsic Maps Vladimir G. Kim, Yaron Lipman, and Thomas Funkhouser SIGGRAPH 2011 |

We compared performance of Blended Intrinsic Maps [1], Möbius Voting [2], Generalized Multi-Dimensional Scaling [3] and Heat Kernel Maps [4] and Deformation-Driven [5] to detect inter-surface correspondence.
You can see the results here (222Mb).For individual methods, please cite:
[1] Blended Intrinsic Maps Vladimir G. Kim, Yaron Lipman, and Thomas Funkhouser SIGGRAPH 2011[2] Möbius Voting for Surface Correspondence Yaron Lipman and Thomas Funkhouser SIGGRAPH 2009[3] Generalized multidimensional scaling: a framework for isometry-invariant partial surface matching Alex Bronstein, Michael Bronstein, and Ron Kimmel Proc. National Academy of Sciences (PNAS), 2006[4] One point isometric matching with the heat kernel Maks Ovsjanikov, Quentin Merigot, Facundo Memoli, and Leonidas Guibas SGP 2010 (Symposium on Geometry Processing)[5] Deformation-driven shape correspondence Hao Zhang, Alla Sheffer, Daniel Cohen-Or, Qingnan Zhou, Oliver van Kaick, and Andrea Taglisacchi SGP 2008 (Symposium on Geometry Processing) |