Title :
Robust statistics in shape fitting
Author :
Stein, Andrew ; Werman, Michael
Author_Institution :
Dept. of Comput. Sci., Hebrew Univ. of Jerusalem, Israel
Abstract :
The concept of robustness in statistics is examined. Starting from the concepts of the breakdown point and equivariance properties of an estimator, the desired equivariance properties for shape fitting are defined, and high breakdown point methods with these properties are found
Keywords :
computer vision; parameter estimation; breakdown point; computer vision; equivariance properties; estimator; robust statistics; shape fitting; Cameras; Computer errors; Computer science; Computer vision; Electric breakdown; Error correction; Robot vision systems; Robustness; Shape; Statistics;
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
Print_ISBN :
0-8186-2855-3
DOI :
10.1109/CVPR.1992.223138
