Local stereovision matching through the ADALINE neural network

This paper presents an approach to the local stereovision matching problem using edge segments as features with four attributes. Based on these attrib utes we compute a matching probability between pairs of features of the ste reo images. A correspondence is said to be true when this probability is ma ximum. The probability value is a weighted sum of the attributes. We use tw o combined ADALINE neural networks to compute the weight for each attribute . A comparative analysis among other recent matching methods is illustrated . (C) 2001 Elsevier Science B.V. All rights reserved.