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Published in:
2009 | OriginalPaper | Chapter
A New Feasible Approach to Multi-dimensional Scale Saliency
Authors : Pablo Suau, Francisco Escolano
Published in: Advanced Concepts for Intelligent Vision Systems
Publisher: Springer Berlin Heidelberg
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In this paper, we present a multi-dimensional extension of an image feature extractor, the scale saliency algorithm by Kadir and Brady. In order to avoid the curse of dimensionality, our algorithm is based on a recent Shannon’s entropy estimator and on a new divergence metric in the spirit of Friedman’s and Rafsky estimation of Henze-Penrose divergence. The experiments show that, compared to our previous existing method based on entropic graphs, this approach remarkably decreases computation time, while not significantly deterioring the quality of the results.