Robust algorithm for point matching in uncalibrated stereo vision systems

José Alexandre de França, Marcelo Ricardo Stemmer, Maria Bernadete Morais França

Abstract


This article introduces a new point matching algorithm for stereo images. The cameras used for capturing the image do not need to be calibrated. The only requirement is the existence of a set of segmented corners in each image. In order to execute the point matching, the algorithm starts by applying non-parametric techniques to the pair of images and a set of candidate matches is selected. After that, the reliability of each point is calculated based on a proposed equation. Finally, the fundamental matrix of the system is estimated and the epipolar restriction is used to eliminate outliers. Tests made on real images demonstrate the viability of the proposed method.

Keywords


Census Transform; Point;Correspondences; Stereo Vision; Fundamental Matrix.



DOI: http://dx.doi.org/10.5433/1679-0375.2005v26n2p167

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Semin., Ciênc. Exatas Tecnol.
Londrina - PR - Brazil
E-ISSN: 16790375
DOI: 10.5433/1679-0375
Email: seminaexatas@uel.br
 
This journal is licensed with a license Creative Commons Attribution-NonCommercial 4.0 International.