Title :
Robust range segmentation
Author :
Bab-Hadiashar, Alireza ; Suter, David
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
Abstract :
This paper proposes a robust estimator which is capable of segmenting multi-structural data. The proposed estimation technique is used to segment range data into linear (planar) and quadratic surfaces. The performance of the proposed range segmentation algorithm is tested on a number of real data sets
Keywords :
computer vision; estimation theory; image segmentation; statistical analysis; computer vision; multiple structural data; quadratic surfaces; range segmentation; robust estimator; scale estimation; Computer vision; Fitting; Gaussian distribution; History; Image segmentation; Least squares approximation; Parametric statistics; Robustness; Statistical distributions; Testing;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711849
