| Description (include details on usage, files and paper references) | The dataset contains more than 4,536 2D shapes included
in standard as well as in home-build datasets.
Our goal is to represent a given 2D shape with an automatically determined number of ellipses, so that the total area covered by the ellipses is equal to the area of the original shape without any assumption or prior knowledge about the object structure[1]. The 4,526 2D shapes are organized in 6 datasets [1].
SISHA_SCALE dataset (544 images) [1]
SISHA_SHEAR dataset (544 images) [1]
SISHA-NOISE1 dataset (288 images) [1]
SISHA-NOISE2 dataset (288 images) [1]
LEMS dataset (1400 images) [2]
MPEG_7 dataset (1400 images) [3]
[1] C. Panagiotakis and A. Argyros, Parameter-free Modelling of 2D Shapes with Ellipses, Pattern Recognition, vol. 53, pp. 259-275, 2016.
[2] B. Kimia, A large binary image database, lems vision group at brown university, http://www.lems.brown.edu/~dmc/ (2002).
[3] L. J. Latecki, R. Lakamper, T. Eckhardt, Shape descriptors for non-rigid shapes with a single closed contour, in: IEEE Conference on Computer Vision and Pattern Recognition, Vol. 1, IEEE, 2000, pp. 424–429. |
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