Neural networks for matching in computer vision

Authors:
Giansalvo Cirrincione;Maurizio Cirrincione
Affiliations:
Department of Electrical Engineering, Lab., CREA, University of Picardie-Jules Verne, Amiens, France;Universite de Technologie de Belfort-Montbeliard, Belfort Cedex, France
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Year:
2007

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Abstract

A very important problem in computer vision is the matching of features extracted from pairs of images. At this proposal, a new neural network, the Double Asynchronous Competitor (DAC) is presented. It exploits the self-organization for solving the matching as a pattern recognition problem. As a consequence, a set of attributes is required for each image feature. The network is able to find the variety of the input space. DAC exploits two intercoupled neural networks and outputs the matches together with the occlusion maps of the pair of frames taken in consideration. DAC can also solve other matching problems.