DocumentCode
2477134
Title
Robust shape normalization based on implicit representations
Author
Jiang, Tingting ; Tomasi, Carlo
Author_Institution
LEAR Group, INRIA Grenoble, Grenoble, France
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
4
Abstract
We introduce a new shape normalization method based on implicit shape representations. The proposed method is robust with respect to deformations and invariant to similarity transformations (translation, isotropic scaling and rotation). The new method has been tested and compared to the classical shape normalization method and previous work in terms of aligning groups of shapes with deformations.
Keywords
image representation; shape recognition; classical shape normalization method; implicit shape representations; robust shape normalization; shape normalization method; similarity transformations; Animals; Computer science; Computer vision; Deformable models; Density functional theory; Humans; Robustness; Shape; Testing; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4761202
Filename
4761202
Link To Document