NEW APPROACH FOR 3D OBJECT RECOGNITION USING NON UNIFORM FOURIER AND MOMENTS COEFFICIENTS
In this paper, new descriptors have been proposed which are invariant to rotation and affinity transformations (Non Uniform Fourier and moments coefficients). These descriptors are computed using Fourier or moments coefficients obtained from development of object coordinates. These coordinates are p...
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doaj-64425f399a5543aeaad4db664f320fee2020-11-25T00:09:39ZengTaylor's UniversityJournal of Engineering Science and Technology1823-46902017-05-0112513541365NEW APPROACH FOR 3D OBJECT RECOGNITION USING NON UNIFORM FOURIER AND MOMENTS COEFFICIENTSKHALID AZNAG0NOUHOUN KANE1AHMED EL OIRRAK2ESSAID EL BACHARI3Faculty of Sciences Semlalia, Cadi Ayyad University, Computer Systems Engineering Laboratory (LISI) Marrakech, MoroccoFaculty of Sciences Semlalia, Cadi Ayyad University, Computer Systems Engineering Laboratory (LISI) Marrakech, MoroccoFaculty of Sciences Semlalia, Cadi Ayyad University, Computer Systems Engineering Laboratory (LISI) Marrakech, MoroccoFaculty of Sciences Semlalia, Cadi Ayyad University, Computer Systems Engineering Laboratory (LISI) Marrakech, MoroccoIn this paper, new descriptors have been proposed which are invariant to rotation and affinity transformations (Non Uniform Fourier and moments coefficients). These descriptors are computed using Fourier or moments coefficients obtained from development of object coordinates. These coordinates are parameterized with a function also invariant to affinity. The normal Fourier transform depends on points index, the Non Uniform transform proposed here depend on a parameter. This parameter depends on shape not on order of points. The proposed descriptors are easy to extract and are extensible to higher dimension. http://jestec.taylors.edu.my/Vol%2012%20issue%205%20May%202017/12_5_16.pdfFourierRotation-invariant3D curve |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
KHALID AZNAG NOUHOUN KANE AHMED EL OIRRAK ESSAID EL BACHARI |
spellingShingle |
KHALID AZNAG NOUHOUN KANE AHMED EL OIRRAK ESSAID EL BACHARI NEW APPROACH FOR 3D OBJECT RECOGNITION USING NON UNIFORM FOURIER AND MOMENTS COEFFICIENTS Journal of Engineering Science and Technology Fourier Rotation-invariant 3D curve |
author_facet |
KHALID AZNAG NOUHOUN KANE AHMED EL OIRRAK ESSAID EL BACHARI |
author_sort |
KHALID AZNAG |
title |
NEW APPROACH FOR 3D OBJECT RECOGNITION USING NON UNIFORM FOURIER AND MOMENTS COEFFICIENTS |
title_short |
NEW APPROACH FOR 3D OBJECT RECOGNITION USING NON UNIFORM FOURIER AND MOMENTS COEFFICIENTS |
title_full |
NEW APPROACH FOR 3D OBJECT RECOGNITION USING NON UNIFORM FOURIER AND MOMENTS COEFFICIENTS |
title_fullStr |
NEW APPROACH FOR 3D OBJECT RECOGNITION USING NON UNIFORM FOURIER AND MOMENTS COEFFICIENTS |
title_full_unstemmed |
NEW APPROACH FOR 3D OBJECT RECOGNITION USING NON UNIFORM FOURIER AND MOMENTS COEFFICIENTS |
title_sort |
new approach for 3d object recognition using non uniform fourier and moments coefficients |
publisher |
Taylor's University |
series |
Journal of Engineering Science and Technology |
issn |
1823-4690 |
publishDate |
2017-05-01 |
description |
In this paper, new descriptors have been proposed which are invariant to rotation and affinity transformations (Non Uniform Fourier and moments coefficients). These descriptors are computed using Fourier or moments coefficients obtained from development of object coordinates. These coordinates are parameterized with a function also invariant to affinity. The normal Fourier transform depends on points index, the Non Uniform transform proposed here depend on a parameter. This parameter depends on shape not on order of points. The proposed descriptors are easy to extract and are extensible
to higher dimension. |
topic |
Fourier Rotation-invariant 3D curve |
url |
http://jestec.taylors.edu.my/Vol%2012%20issue%205%20May%202017/12_5_16.pdf |
work_keys_str_mv |
AT khalidaznag newapproachfor3dobjectrecognitionusingnonuniformfourierandmomentscoefficients AT nouhounkane newapproachfor3dobjectrecognitionusingnonuniformfourierandmomentscoefficients AT ahmedeloirrak newapproachfor3dobjectrecognitionusingnonuniformfourierandmomentscoefficients AT essaidelbachari newapproachfor3dobjectrecognitionusingnonuniformfourierandmomentscoefficients |
_version_ |
1725410630604685312 |