DocumentCode
3205545
Title
Robust statistics in shape fitting
Author
Stein, Andrew ; Werman, Michael
Author_Institution
Dept. of Comput. Sci., Hebrew Univ. of Jerusalem, Israel
fYear
1992
fDate
15-18 Jun 1992
Firstpage
540
Lastpage
546
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location
Champaign, IL
ISSN
1063-6919
Print_ISBN
0-8186-2855-3
Type
conf
DOI
10.1109/CVPR.1992.223138
Filename
223138
Link To Document