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IJCV
2010

An Approach to the Parameterization of Structure for Fast Categorization

9 years 28 days ago
An Approach to the Parameterization of Structure for Fast Categorization
A decomposition is described, which parameterizes the geometry and appearance of contours and regions of gray-scale images with the goal of fast categorization. To express the contour geometry, a contour is transformed into a local/global space, from which parameters are derived classifying its global geometry (arc, inflexion or alternating) and describing its local aspects (degree of curvature, edginess, symmetry). Regions are parameterized based on their symmetric axes, which are evolved with a wave-propagation process enabling to generate the distance map for fragmented contour images. The methodology is evaluated on three image sets, the Caltech 101 set and two sets drawn from the Corel collection. The performance nearly reaches the one of other categorization systems for unsupervised learning.
Christoph Rasche
Added 27 Jan 2011
Updated 27 Jan 2011
Type Journal
Year 2010
Where IJCV
Authors Christoph Rasche
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