Constructing Visual Taxonomies by Shape

Cook, Anthony; Gibbens, M.J., (2006) 'Constructing Visual Taxonomies by Shape', 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, pp. 732 - 735 RAE2008

We investigate the use of statistical shape measures for segmented image regions to construct taxonomies of visual similarity. It is demonstrated that without the use of a priori knowledge, cluster analysis can be used to impose structure on heterogeneous image data sets. We develop visual taxonomies to accomplish moderate classification tasks, and provide a framework for more powerful, open-ended analysis of large data sets. The power of this method is demonstrated using a visual taxonomy of textual data, which is shown to be efficient in an MDL context