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Stereovision matching through support vector machines

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Pajares Martinsanz, Gonzalo and Cruz García, Jesús Manuel de la (2003) Stereovision matching through support vector machines. Pattern Recognition Letters, 24 (15). pp. 2575-2583. ISSN 0167-8655

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Official URL: http://dx.doi.org/10.1016/S0167-8655(03)00102-8




Abstract

This paper presents an approach to the local stereovision matching problem using edge segments as features with four attributes. In this paper we design a Support Vector Machine classifier for solving the stereovision matching problem. We obtain a matching decision function to classify a pair of features as a true or false match. The use of such classifier makes up the main finding of the paper. A comparative analysis among other existing approaches is included to show that this finding can be justified theoretically. From these investigations, we conclude that the performance of the proposed method is appropriate for this task.


Item Type:Article
Additional Information:

Part of the work has been performed under
project CICYT TAP94-0832-C02-01.

Uncontrolled Keywords:Algorithm, Vision
Subjects:Sciences > Computer science
ID Code:25769
Deposited On:13 Jun 2014 12:12
Last Modified:13 Jun 2014 12:12

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