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3D object recognition using MANFIS network with orthogonal and non-orthogonal moments

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Main Authors: M. Khusairi, Osman, Mohd Yusoff, Mashor, M. Rizal, Arshad, Zuraidi, Saad
Other Authors: khusairi@ppinang.uitm.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineering (IEEE) 2009
Subjects:
Zernike polynomials
Computer vision
Feature extraction
Fuzzy control
Object recognition
MANFIS network
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7429
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spelling my.unimap-74292010-11-24T03:02:45Z 3D object recognition using MANFIS network with orthogonal and non-orthogonal moments M. Khusairi, Osman Mohd Yusoff, Mashor M. Rizal, Arshad Zuraidi, Saad khusairi@ppinang.uitm.edu.my Zernike polynomials Computer vision Feature extraction Fuzzy control Object recognition MANFIS network Link to publisher's homepage at http://ieeexplore.ieee.org This paper addresses a performance analysis of two well known moments, namely Hu's moments and Zernike's moments for 3D object recognition. Hu's moments and Zernike's moments are the non-orthogonal and orthogonal moments respectively, which are commonly used as shape feature for 2D object or pattern recognition. The current study proved that with some adaptation to multiple views technique, Hu and Zernike moments are sufficient to model 3D objects. In addition, the simplicity of moments calculation reduces the processing time for feature extraction, hence increases the system efficiency. In the recognition stage, we proposed to use a neuro-fuzzy classifier called multiple adaptive network based fuzzy inference system (MANFIS) for matching and classification. The proposed method has been tested using two groups of object, polyhedral and free-form objects. The experimental results show that Zernike moments combined with MANFIS network attain the best performance in both recognitions, polyhedral and free-form objects. 2009-12-16T05:13:19Z 2009-12-16T05:13:19Z 2009-03-06 Working Paper p.302-306 978-1-4244-4151-8 http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=5069239 http://hdl.handle.net/123456789/7429 en Proceedings of the 5th International Colloquium on Signal Processing & Its Applications (CSPA 2009) Institute of Electrical and Electronics Engineering (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Zernike polynomials
Computer vision
Feature extraction
Fuzzy control
Object recognition
MANFIS network
spellingShingle Zernike polynomials
Computer vision
Feature extraction
Fuzzy control
Object recognition
MANFIS network
M. Khusairi, Osman
Mohd Yusoff, Mashor
M. Rizal, Arshad
Zuraidi, Saad
3D object recognition using MANFIS network with orthogonal and non-orthogonal moments
description Link to publisher's homepage at http://ieeexplore.ieee.org
author2 khusairi@ppinang.uitm.edu.my
author_facet khusairi@ppinang.uitm.edu.my
M. Khusairi, Osman
Mohd Yusoff, Mashor
M. Rizal, Arshad
Zuraidi, Saad
format Working Paper
author M. Khusairi, Osman
Mohd Yusoff, Mashor
M. Rizal, Arshad
Zuraidi, Saad
author_sort M. Khusairi, Osman
title 3D object recognition using MANFIS network with orthogonal and non-orthogonal moments
title_short 3D object recognition using MANFIS network with orthogonal and non-orthogonal moments
title_full 3D object recognition using MANFIS network with orthogonal and non-orthogonal moments
title_fullStr 3D object recognition using MANFIS network with orthogonal and non-orthogonal moments
title_full_unstemmed 3D object recognition using MANFIS network with orthogonal and non-orthogonal moments
title_sort 3d object recognition using manfis network with orthogonal and non-orthogonal moments
publisher Institute of Electrical and Electronics Engineering (IEEE)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7429
_version_ 1643788811410341888
score 13.222552

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