Global and Efficient Self-Similarity

Thomas Deselaers, Vittorio Ferrari


Welcome to this release of the global selfsimilarity [1]. From the methods in [1] this code allows to compute self-similarity hypercubes (SSHs). These SSHs can be obtained from a prototype assignment map M in two ways:
The first method extracts an SSH from a full image.
The second method extracts multiple SSHs from a single image jointly.


Filename Description Size
selfsim_release1.0.tgz Source code (Matlab/C) 2MB
README Description of Contents 3KB


  1. Global and Efficient Self-Similarity for Object Classification and Detection
    Thomas Deselaers and Vittorio Ferrari,
    In Computer Vision and Pattern Recognition (CVPR), 2010.