Comments on: 'Robust Line Fitting in a Noisy Image by the Method of Moments'

Authors:
N. Kiryati;A. M. Bruckstein;H. Mizrahi
Affiliations:
Tel Aviv Univ., Tel Aviv, Israel;Technion-Israel Institute of Technology, Haifa, Israel;Tel Aviv Univ., Tel Aviv, Israel
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
2000

Citing 3
Cited 3

What's in a Set of Points? (Straight Line Fitting)

IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Line Fitting in a Noisy Image by the Method of Moments

IEEE Transactions on Pattern Analysis and Machine Intelligence
Heteroscedastic Hough transform (HtHT): an efficient method for robust line fitting in the ‘errors in the variables’ problems

Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding

A highly robust estimator for regression models

Pattern Recognition Letters
Image analysis by discrete orthogonal Racah moments

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Image analysis by discrete orthogonal dual Hahn moments

Pattern Recognition Letters

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Abstract

Qjidaa and Radouane have recently presented a method for robust line fitting and experimentally compared it to other methods, including a method suggested by us. The results attributed by Qjidaa and Radouane to our algorithm are incorrect. We apply our algorithm to the data used by Qjidaa and Radouane and demonstrate its robustness and accuracy.