This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Comments on: 'Robust Line Fitting in a Noisy Image by the Method of Moments'
November 2000 (vol. 22 no. 11)
pp. 1340-1341

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.

[1] H. Qjidaa and L. Radouane, “Robust Line Fitting in a Noisy Image by the Method of Moments,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 21, pp. 1,216-1,223, 1999.
[2] N. Kiryati and A.M. Bruckstein, “What's in a Set of Points?,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 14, pp. 496-500, 1992.
[3] N. Kiryati and A. M. Bruckstein, “Heteroscedastic Hough Transform (HtHT): An Efficient Method for Robust Line Fitting in the `Errors in the Variables' Problem,” Computer Vision Image Understanding, vol. 78, pp. 69-83, 2000.

Index Terms:
Line fitting, outliers, Hough transform.
Citation:
N. Kiryati, A.M. Bruckstein, H. Mizrahi, "Comments on: 'Robust Line Fitting in a Noisy Image by the Method of Moments'," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1340-1341, Nov. 2000, doi:10.1109/34.888720
Usage of this product signifies your acceptance of the Terms of Use.