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.
Index Terms—Epipolar geometry, fundamental matrix, weighting function, projection error, Harris detector.
The authors are with Laboratory of System Analysis, Information Processing and Industry Management, High School of Technology SALE Mohammed V University, Rabat, Morocco (e-mail: email@example.com, firstname.lastname@example.org).
Cite: 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 and Computing vol. 9, no. 1, pp. 62-66, 2019.