%0 Journal Article
%A Pajares Martínsanz, Gonzalo
%A Cruz García, Jesús Manuel de la
%T Local stereovision matching through the ADALINE neural network
%D 2001
%@ 0167-8655
%U https://hdl.handle.net/20.500.14352/59146
%X This paper presents an approach to the local stereovision matching problem using edge segments as features with four attributes. Based on these attributes we compute a matching probability between pairs of features of the stereo images. A correspondence is said to be true when this probability is maximum. The probability value is a weighted sum of the attributes. We use two combined ADALINE neural networks to compute the weight for each attribute. A comparative analysis among other recent matching methods is illustrated.
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