Statistical Feature Point Matching Method

نویسندگان

  • Lucile Martin
  • Christophe Leroux
  • Edwige Pissaloux
چکیده

This paper presents a statistical method to match feature points from stereo pairs of images. The proposed method is evaluated in terms of effectiveness, robustness and computational speed. The evaluation was performed on several pairs of real stereo images of natural scenes taken onboard an unmanned aerial vehicle. The results show that the proposed method reduces the number of incorrect matches and is fast. Cet article décrit une méthode de mise en correspondance de points d’intérêts extraits d’images stéréoscopiques. Cette méthode a été évaluée en termes d’efficacité, de robustesse et de temps de calcul. L’évaluation a porté sur plusieurs paires d’images prises dans un environnement naturel à partir d’un banc stéréoscopique embarqué sur un drone d’intérieur. Les résultats montrent que la méthode proposée est très rapide et réduit considérablement le nombre de mauvais appariements.

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تاریخ انتشار 2006