ANALYSIS OF EFFICIENCY OF USE OF HARRIS AND KANADE–LUCAS–TOMASI DETECTORS FOR VISUAL NAVIGATION TASKS

Authors

  • Maryna Mukhina National Aviation University
  • Tetyana Yeremeyeva National Aviation University
  • Aliona Kuzmenko National Aviation University
  • Mykhailo Panarin National Aviation University
  • Oleksandr Revchuk National Aviation University
  • Olena Tkachenko National Aviation University

DOI:

https://doi.org/10.18372/2306-1472.64.9047

Keywords:

Direct Linear Transformation (DLT) method, Harris detector, homography matrix, Kanade–Lucas– Tomasi (KLT) feature tracker, Speed-Up Robust Feature (SURF)

Abstract

The article examines methods of images analysis based on computer vision. We made a comparison between the detectors of feature points determined by Harris and Kanade–Lucas–Tomasi (KLT) methods. Found points are represented by Speed-Up Robust Feature (SURF) descriptor and then used to determine homography matrix. Analyses of accuracy of visual navigation is done by estimation of a camera rotation angle via factorization of homography matrix obtained from two detector methods. Errors of visual navigation follow the normal distribution for the given sample.

Author Biographies

Maryna Mukhina, National Aviation University

Mukhina Maryna (1979). PhD, Associate Professor.
Post Doctoral, National Aviation University, Kyiv, Ukraine.
Associate Professor at the Department of Aviation Computer-Integrated Complexes, National Aviation University, Kyiv, Ukraine
Education: BSc, MSc (1996-2002) in Electrical Engineering at Aviation Equipment Faculty of National Aviation University.
Research area: correlation-extreme navigation systems, data fusion algorithms

Tetyana Yeremeyeva, National Aviation University

Yeremeyeva Tetyana (1994). Student.
National Aviation University, Kyiv, Ukraine
Education: BSc in Automation and Computer-Integrated Manufactures at National aviation university
Research area: correlation-extreme navigation systems, data fusion algorithms

Aliona Kuzmenko, National Aviation University

Kuzmenko Aliona (1994). Student.
National Aviation University, Kyiv, Ukraine
Research area: correlation-extreme navigation systems, data fusion algorithms

Mykhailo Panarin, National Aviation University

Panarin Mykhailo (1994). Student .
National Aviation University, Kyiv, Ukraine
Research area: correlation-extreme navigation systems, data fusion algorithms

Oleksandr Revchuk, National Aviation University

Revchuk Oleksandr (1994). Student.
National Aviation University, Kyiv, Ukraine
Research area: correlation-extreme navigation systems, data fusion algorithms

Olena Tkachenko, National Aviation University

Tkachenko Olena (1994). Student.
National Aviation University, Kyiv, Ukraine
Research area: correlation-extreme navigation systems, data fusion algorithms

References

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Published

29-09-2015

How to Cite

Mukhina, M., Yeremeyeva, T., Kuzmenko, A., Panarin, M., Revchuk, O., & Tkachenko, O. (2015). ANALYSIS OF EFFICIENCY OF USE OF HARRIS AND KANADE–LUCAS–TOMASI DETECTORS FOR VISUAL NAVIGATION TASKS. Proceedings of National Aviation University, 64(3), 126–132. https://doi.org/10.18372/2306-1472.64.9047

Issue

Section

INFORMATION TECHNOLOGY