If you publish results which use this dataset, please cite the following paper, in which the dataset was introduced:
A New Distance for Scale-Invariant 3D Shape Recognition and Registration Minh-Tri Pham, Oliver J. Woodford, Frank Perbet, Atsuto Maki, Björn Stenger, Roberto Cipolla Cambridge Research Laboratory and University of Cambridge Published in ICCV 2011 DOI: 10.1109/ICCV.2011.6126236
The dataset consists of the following archives. Their formats are explained in the File Formats page.
Point cloud archive 371.3 MB ►
Rotational symmetry archive 2.3 KB ►
We also provide sample MATLAB code for using the dataset.
Checksums
Algorithm : SHA256
Hash : B2B27F5D8F3AFAA0C5A0BBFD883272FA3EE78A5C1DE3B0B80E684B3A4E9F069A
Filename : points.zip
Algorithm : SHA256
Hash : C1CC601D3DC2C9EEF491F9BF52DEED966F113BF34149D19E554EB6A21A1EF920
Filename : features.zip
Algorithm : SHA256
Hash : 322BC9595D1818427737952A5C2E609B50D0383CFE4B24D72AF9370151D93016
Filename : votes.zip
Algorithm : SHA256
Hash : E8EA0F1301C3408EA15752C5C826B84CE1CA591BBE7BE9B8E69E96ACEC17D50D
Filename : symrot.zip
Algorithm : SHA256
Hash : 319BB23F1DC5CC67ED4B1E0936DCEF094546DEEAD90837FB69D6E4BEC6D8B4AC
Filename : code.zip
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