About the Formlet Representation of Planar Shape
The formlet representation is a sparse, multi-scale generative model of planar shape first presented at CVPR 2010, and then published in the Journal of Image and Vision Computing (JIVC) as an editor’s choice paper. This page provides supplementary material for the JIVC manuscript.
We include our dataset, which consists of 391 blue-screened canonical animal images from the Hemera object database. The images are greyscale *.gif format. We provide a MATLAB implementation of the the Formlet Pursuit algorithm, as well as the Shapelet Pursuit algorithm proposed by Dubinskiy and Zhu [3,4]. We also provide code for extracting the parameter distributions and experimenting with various Formlet bases needed to reproduce the figures in the JIVC paper. To begin, please take a look at readme.txt.
If you have any questions, comments or bug reports, please contact Alex Yakubovich via email@example.com.
References Oleskiw, T.D., Elder, J.H. & Peyré, G. (2010) On growth and formlets: sparse multi-scale coding of planar shape, in Proceedings of the 2010 IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Los Alamitos, CA, 459-466. (PDF)  Elder, J.H., Oleskiw, T.D., Yakubovich, A. & Peyré, G. (2013). On growth and formlets: Sparse multi-scale coding of planar shape. Image and Vision Computing vol. 31, 1-13 (Editor’s Choice Paper). (PDF)  Dubinskiy, A., Zhu, S.C.,”A multi-scale generative model for animate shapes and parts,” Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on, vol. 1, pp. 249-256, Oct. 2003 (PDF)  Dubinskiy, A., “Multi-scale generative model for animate contour representation: A Thesis”, Ohio State University, Oct. 2003  Elder, J.H. (2013). Perceptual organization of shape. In S. Dickinson & Z. Pizlo, ed., Shape Perception in Human and Computer Vision: An Interdisciplinary Perspective, Springer. (PDF)  Grenander, Ulf, Anuj Srivastava, and Sanjay Saini. “A pattern-theoretic characterization of biological growth.” Medical Imaging, IEEE Transactions on 26.5 (2007): 648-659. (PDF)
391 Natural Image Dataset 391animals.zip
Occluded Pursuit Experiment Occluded_Pursuit_Experiment.zip
Parameter Distributions Parameter_Distributions.zip