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IJML 2019 Vol.9(1): 62-66
doi: 10.18178/ijmlc.2019.9.1.766

Robust Harris Detector Corresponding and Calculates the Projection Error Using the Modification of the Weighting Function

A. Chater , A. Lasfar

  • Laboratory of System Analysis, Information Processing and Industry Management, High School of Technology SALE Mohammed V University, Rabat, Morocco.

Abstract

Epipolar geometry is a key point in computer vision and the fundamental matrix estimation. The relational view can be obtained from the fundamental matrix. In this way, we interest to calculate an exact matrix based from characteristics unequally distributed in complex scene images. This paper presents a method based on the detection of points by the Harris detector, after we develop a new modification of the multi-level function related to the M-estimator algorithm. The experimental comparisons were conducted by a simulation between RANSAC, LMeds, and M-Estimator in order to estimate the projection error. As a result, the proposed method gives a significant improvement and performance with a low projection error compared to other methods.

Keywords

  • Epipolar geometry
  • fundamental matrix
  • weighting function
  • projection error
  • Harris detector
766-M025

How to Cite

Copied

A. Chater and A. Lasfar, "Robust Harris Detector Corresponding and Calculates the Projection Error Using the Modification of the Weighting Function," International Journal of Machine Learning, vol. 9, no. 1, pp. 62-66, 2019. https://doi.org/10.18178/ijmlc.2019.9.1.766

Copyright & License

Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD