Local stereovision matching through the ADALINE neural network



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Pajares Martinsanz, Gonzalo and Cruz García, Jesús Manuel de la (2001) Local stereovision matching through the ADALINE neural network. Pattern Recognition Letters, 22 (14). pp. 1457-1473. ISSN 0167-8655

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Official URL: http://dx.doi.org/10.1016/S0167-8655(01)00097-6


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.

Item Type:Article
Additional Information:

Part of the work has been performed under project CICYT TAP94-0832-C02-01. The constructive recommendations provided by the reviewers are also gratefully acknowledged.

Uncontrolled Keywords:Images, Relaxation, Criterion, Algorithm.
Subjects:Sciences > Computer science
ID Code:26379
Deposited On:25 Aug 2014 12:51
Last Modified:31 Dec 2020 00:03

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