DocumentCode
419527
Title
The model selection criteria as merging criteria
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
253
Abstract
A comparative study of a wide range of different model selection criteria for merging 3D range data is presented. First, we measure and compared the success rate of every criterion in detecting step and crease discontinuities in 3D range data followed by measuring the performance in merging non-existent discontinuities. As a conclusion, we have recommended a small group of criteria that are suitable for all cases.
Keywords
computer vision; data models; merging; 3D range data; merging criteria; merging nonexistent discontinuities; model selection criteria; Application software; Australia; Computer vision; Libraries; Merging; Parameter estimation; Relays;
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.2004.1334149
Filename
1334149
Link To Document