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SHREC SHREC'10 datasets
Shape REtrieval Contest (SHREC) including three benchmarks: robust large-scale retrieval, correspondence, and feature detection and description.

References
  • A. M. Bronstein, M. M. Bronstein, U. Castellani, B. Falcidieno, A. Fusiello, A. Godil, L. J. Guibas, I. Kokkinos, Z. Lian, M. Ovsjanikov, G. Patané, M. Spagnuolo, R. Toldo, "SHREC 2010: robust large-scale shape retrieval benchmark", Proc. EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR), 2010.
  • A. M. Bronstein, M. M. Bronstein, B. Bustos, U. Castellani, M. Crisani, B. Falcidieno, L. J. Guibas, I. Kokkinos, V. Murino, M. Ovsjanikov, G. Patané, I. Sipiran, M. Spagnuolo, J. Sun, "SHREC 2010: robust feature detection and description benchmark", Proc. EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR), 2010.
  • A. M. Bronstein, M. M. Bronstein, U. Castellani, A. Dubrovina, L. J. Guibas, R. P. Horaud, R. Kimmel, D. Knossow, E. von Lavante, D. Mateus, M. Ovsjanikov, A. Sharma, "SHREC 2010: robust correspondence benchmark", Proc. EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR), 2010.


TOSCA shapes TOSCA high-resolution MATLAB (75MB) | ASCII (65MB) | License
Hi-resolution three-dimensional nonrigid shapes in a variety of poses for non-rigid shape similarity and correspondence experiments. The database contains a total of 80 objects, including 11 cats, 9 dogs, 3 wolves, 8 horses, 6 centaurs, 4 gorillas, 12 female figures, and two different male figures, containing 7 and 20 poses. Typical vertex count is about 50,000. Objects within the same class have the same triangulation and an equal number of vertices numbered in a compatible way. This can be used as a per-vertex ground truth correspondence in correspondence experiments. Two representations are available: MATLAB file (.mat) and ASCII text files containing the 1-based list of triangular faces (.tri), and a list of vertex XYZ coordinates (.vert). A .png thumbnail is available for each object.

References


TOSCA shapes Non-rigid world .zip (24MB) | License
Three-dimensional nonrigid shapes in a variety of poses for non-rigid shape similarity and correspondence experiments. The database contains a total of 148 objects, including 9 cats, 11 dogs, 3 wolves, 17 horses, 15 lions, 21 gorillas, 1 shark, 24 female figures, and two different male figures, containing 15 and 20 poses. The database also contains 6 centaurs, and 6 seahorses for partial similarity experiments. Each object contains approximately 3000 vertices. Two representations are available: MATLAB file (.mat) and ASCII text files containing the 1-based list of triangular faces (.tri), and a list of vertex XYZ coordinates (.vert). A .png thumbnail is available for each object.

References


2D articulated shapes Mythological creatures 2D .zip (142KB) | License
Two-dimensional articulated shapes (silhouettes) for partial similarity experiments. The data set contains 15 shapes: 5 humans, 5 horses and 5 centaurs. Each shape differs by an articulation and additional parts. The shapes are represented as binary images in .bmp format.

References


Tools 2D .zip (177KB) | License
Two-dimensional articulated shapes (silhouettes) for partial similarity experiments. The data set contains 15 shapes: 5 humans, 5 horses and 5 centaurs. Each shape differs by an articulation and additional parts. The shapes are represented as binary images in .bmp format.

References


Human face .zip (2.9MB) | License
An animated three-dimensional face showing different facial expressions, acquired using a real-time range camera. The acquisition speed is approximately 3 frames/sec. The database contains 15 expressions of the same face, represented as a textured shape. Each object contains approximately 2000 vertices. Two representations are available: MATLAB file (.mat) and ASCII text files containing the 1-based list of triangular faces (.tri), a list of vertex XYZ coordinates (.vert), and a list of [0...1] texture intensity levels (.text). A .png thumbnail is available for each object. A MATLAB function for reading the data is supplied.

References