Comparison of point matching algorithms for the UAV aerial refueling problem

Authors:
Marco Mammarella;Giampiero Campa;Marcello R. Napolitano;Mario L. Fravolini
Affiliations:
West Virginia University, Department of Mechanical and Aerospace Engineering, PO Box 6106, 535 Eng. Science Bldg, Evansdale Drive, 26506/6106, Morgantown, WV, USA;West Virginia University, Department of Mechanical and Aerospace Engineering, PO Box 6106, 535 Eng. Science Bldg, Evansdale Drive, 26506/6106, Morgantown, WV, USA;West Virginia University, Department of Mechanical and Aerospace Engineering, PO Box 6106, 535 Eng. Science Bldg, Evansdale Drive, 26506/6106, Morgantown, WV, USA;University of Perugia, Department of Electronic and Information Engineering, 06100, Perugia, Italy
Venue:
Machine Vision and Applications
Year:
2010

Citing 7
Cited 0

Finding corners

Image and Vision Computing
Matching feature points in image sequences through a region-based method

Computer Vision and Image Understanding
Fast and Globally Convergent Pose Estimation from Video Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear Pose Estimation from Points or Lines

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Feature Matching by Searching Maximum Clique on High Order Association Graph

ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
A Condition Number for Point Matching with Application to Registration and Postregistration Error Estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Addressing corner detection issues for machine vision based UAV aerial refueling

Machine Vision and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes the results of a study focused on the evaluation of the performance of specific algorithms for the “point matching” task within the general problem of applying machine vision-based control laws for the problem of aerial refueling (AR) for UAVs. Two different point matching algorithms for the identification of the corner-points of the tanker are proposed. A detailed study of the algorithms is performed with special emphasis on the correct matching and required computational effort. The results show the importance of a correct point-matching scheme for obtaining accurate pose estimation; furthermore, the analysis highlights the tradeoffs involved in the selection of the appropriate algorithms.