DocumentCode :
2078679
Title :
A new robust operator for computer vision: application to range data
Author :
Stewart, Charles V.
Author_Institution :
Dept. of Comput. Sci., Rensselaer Polytech. Inst., Troy, NY, USA
fYear :
1994
fDate :
21-23 Jun 1994
Firstpage :
167
Lastpage :
173
Abstract :
The basic MINPRAN (MINimize the Probability of RANdomness) technique, introduced by C.V. Stewart (1994), is extended to handle range data taken from complex scenes. Such data often includes: (1) a large numbers of outliers, (2) points from multiple surfaces interspersed over large image regions, and (3) extended regions containing only bad data. The initial version of MINPRAN handles cases (1) and (3). For (2), given an image region containing data from more than one surface, the basic technique tends to favor a single fit that “bridges” two surfaces. We analyze the extent of this problem and introduce two modifications to solve it. The new version of the algorithm, called MINPRAN2, produces extremely good results on difficult range data
Keywords :
computer vision; minimisation; probability; MINPRAN technique; MINPRAN2; bad data; complex scenes; computer vision; image regions; multiple surfaces; outliers; randomness probability minimization; range data; robust operator; single fit; Machine vision; Minimization methods; Probability; Surfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location :
Seattle, WA
ISSN :
1063-6919
Print_ISBN :
0-8186-5825-8
Type :
conf
DOI :
10.1109/CVPR.1994.323825
Filename :
323825
Link To Document :
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