DocumentCode
419499
Title
Effect of noise on model selection criteria in visual applications
Author
Gheissari, Niloofar ; Bab-Hadiashar, Alireza
Author_Institution
Swinburne Univ. of Technol., Melbourne, Vic., Australia
Volume
2
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
229
Abstract
In this paper, the effect of noise level on the performance of a large number of existing model selection criteria for two important computer vision applications (motion and range segmentation) has been investigated. The results of our experiments show that although the performance of all model selection criteria deteriorates by increasing the level of noise, the surface selection criterion (SSC) remains the criterion of choice for different noise levels.
Keywords
computer vision; image motion analysis; image segmentation; noise; computer vision applications; model selection criteria; motion segmentation; range segmentation; visual applications; Application software; Australia; Computer vision; H infinity control; Layout; Libraries; Noise level; Parametric statistics; Polynomials; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334102
Filename
1334102
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