COMPARISON OF ERROR METRICS IN MATCHING ALGORITHMS OF IMAGES BY SURF DETECTOR

Authors

  • Maryna Mukhina National Aviation University

DOI:

https://doi.org/10.18372/2306-1472.61.7603

Keywords:

error metric, feature point, homography matrix, normalized cross-correlation, Speed-Up Robust Feature

Abstract

Speed-Up Robust Feature (SURF) method is used to detect feature points of images. The analyses ofmatching algorithms of feature points is done. The comparison of different error metrics by their accuracy andcomputing efficiency is provided on the series of test images for basic transforms like scaling, rotation and shifting.

Author Biography

Maryna Mukhina, National Aviation University

Mukhina MarynaCandidate of Engineering. Associate Professor.Department of Aviation Computer-Integrated Complexes, National Aviation University, Kyiv, Ukraine.Education: National Aviation University, Kyiv, Ukraine.Research area: image processing, correlation-extremal navigation, data fusion.

References

H. Bay, T. Tuytelaars, L. Van Gool. SURF: Speeded up robust features. European Conference on Computer Vision, Vol. 1, pp.404–417, 2006.

Y. X. Chen, Q. S. Sun, H. Y. Xu, et al. "Matching method based on SURF algorithm and RANSAC algorithm" // Journal of Frontiers of Computer Science and Technology, vol. 6, 2012. - p. 1-9.

D. G. Lowe “Distinctive Image Features from Scale-Invariant Keypoints” // International Journal of Computer Vision, vol. 60, no. 2, pp. 91–110, 2004.

M. Marius, G. L. David "Fast approximate nearest neighbors with automatic algorithm conjugation" // Proc. Computer Vision Theory and Applications' 09, 2009, pp. 331-340.

K. Mikolajczyk, C. Schmid “A Performance Evaluation of Local Descriptors” // Proceedings of Computer Vision and Pattern Recognition, June, 2003.

J. Shi, C. Tomasi “Good features to track” // IEEE Conference on Computer Vision and Pattern Recognition (CVPR94), 1994.

http://www.robots.ox.ac.uk/_vgg/research/affine/

Published

10-12-2014

How to Cite

Mukhina, M. (2014). COMPARISON OF ERROR METRICS IN MATCHING ALGORITHMS OF IMAGES BY SURF DETECTOR. Proceedings of National Aviation University, 61(4), 128–132. https://doi.org/10.18372/2306-1472.61.7603

Issue

Section

INFORMATION TECHNOLOGY