Dense Two-Frame Stereo Correspondence by Self-organizing Neural Network

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5716)


This work aims at defining an extension of a competitive method for matching correspondences in stereoscopic image analysis. The method we extended was proposed by Venkatesh, Y.V. et al where the authors extend a Self-Organizing Map by changing the neural weights updating phase in order to solve the correspondence problem within a two-frame area matching approach and producing dense disparity maps. In the present paper we have extended the method mentioned by adding some details that lead to better results. Experimental studies were conducted to evaluate and compare the solution proposed.


Stereo matching self-organizing map disparity map occlusions 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  1. 1.Department of Computer Science and CommunicationUniversità degli Studi dell’InsubriaVareseItaly

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