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The non-parametric Parzen's window in stereo vision matching

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Pajares Martinsanz, Gonzalo and Cruz García, Jesús Manuel de la (2002) The non-parametric Parzen's window in stereo vision matching. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 32 (2). pp. 225-230. ISSN 1083-4419

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Official URL: http://dx.doi.org/10.1109/3477.990879


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Abstract

This paper presents an approach to the local stereovision matching problem using edge segments as features with four attributes. From these attributes we compute a matching probability between pairs of features of the stereo images. A correspondence is said true when such a probability is maximum. We introduce a nonparametric strategy based on Parzen's window to estimate a probability density function (PDF) which is used to obtain the matching probability. This is the main finding of the paper. A comparative analysis of other recent matching methods is included to show that this finding can be justified theoretically. A generalization of the proposed method is made in order to give guidelines about its use with the similarity constraint and also in different environments where other features and attributes are more suitable.


Item Type:Article
Additional Information:

© 2002 IEEE.
The authors would like to thank the reviewers and Associate Editor for constructive recommendations.

Uncontrolled Keywords:Classifiers, Algorithm, Network
Subjects:Sciences > Computer science
ID Code:26315
Deposited On:18 Jul 2014 07:20
Last Modified:18 Jul 2014 07:20

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