Summary
the 2014 International Symposium on Nonlinear Theory and its Applications
2014
Session Number:D3L-C
Session:
Number:D3L-C4
Extension of the NonlinearWave Metric to Higher Dimensions for Spatiotemporal Classification
Andras Palffy, Lorant Kovacs, Domonkos Huszar, Andras Horvath,
pp.870-873
Publication Date:2014/9/14
Online ISSN:2188-5079
Summary:
Algorithms designed for machine vision applications such as medical imaging, surveillance, gesture control, tracking etc. very often require some kind of comparison between images. While the brain can compare complex objects with ease, the same is usually a very difficult task for algorithm designers. Comparison between objects requires a properly defined metric that determines the distance, similarity between them. In this paper we derive a multidimensional extension of the non-linear wavemetric and show how it can be applied in higher dimensional problem spaces. (e.g. three-dimensional trajectories)