Paper Info
Title
Geometric invariant curve and surface normalization
Abstract
In this work, a geometric invariant curve and surface normalization method is presented. Translation, scale and shear are normalized by Principal Component Analysis (PCA) whitening. Independent Component Analysis (ICA) and the third order moments are then employed for rotation and reflection normalization. By applying this normalization, curves and surfaces that are related by geometric transformations (affine or rigid) can be transformed into a canonical representation. Proposed technique is verified with several 2D and 3D object matching and recognition experiments.
Year
DOI
Venue
2006
10.1007/11867661_40
ICIAR (2)
Keywords
Field
DocType
proposed technique,geometric invariant curve,normalization method,object matching,geometric transformation,canonical representation,independent component analysis,principal component analysis,surface normalization,reflection normalization,order moment
Affine transformation,Computer vision,Normalization (statistics),Transformation geometry,Canonical form,Geometric transformation,Independent component analysis,Invariant (mathematics),Artificial intelligence,Principal component analysis,Mathematics
Conference
Volume
ISSN
ISBN
4142
0302-9743
3-540-44894-2
Citations 
PageRank 
References 
0
0.34
18
Authors
2
Name
Order
Citations
PageRank
Sait Sener1112.36
Mustafa Ünel215420.71