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Affine Invariant Descriptors of 3D Object Using Multiple Regression Model


Affiliations
1 Department of Informatics, Marrakech, Morocco
2 LEESA-GSCM, BP 1014, Morocco
 

In this work, a new method invariant [1,2,3] for 3D object is proposed using multiple regression model. This method consists of extracting an invariant vector using the multiple linear parameters model applied to the 3D object, it's invariant against affine transformation of this object.

The concerned 3D objects are transformations of 3D objects by one element of the overall transformation. The set of transformations considered in this work is the general affine group.


Keywords

Invariant, 3D Object, Multiple Regression Model, Affine Transformation.
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  • Affine Invariant Descriptors of 3D Object Using Multiple Regression Model

Abstract Views: 372  |  PDF Views: 189

Authors

M. Elhachloufi
Department of Informatics, Marrakech, Morocco
A. El Oirrak
Department of Informatics, Marrakech, Morocco
D. Aboutajdine
LEESA-GSCM, BP 1014, Morocco
M. N. Kaddioui
Department of Informatics, Marrakech, Morocco

Abstract


In this work, a new method invariant [1,2,3] for 3D object is proposed using multiple regression model. This method consists of extracting an invariant vector using the multiple linear parameters model applied to the 3D object, it's invariant against affine transformation of this object.

The concerned 3D objects are transformations of 3D objects by one element of the overall transformation. The set of transformations considered in this work is the general affine group.


Keywords


Invariant, 3D Object, Multiple Regression Model, Affine Transformation.