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3D object recognition: Views, moment invariants & perceptron networks

Computer vision recognition typically involves sensors, a model database containing information about the object representations and decision making or categorization. Sensors gather images that are processed to represent it as the database models and a recognition algorithm is applied to fi...

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Bibliographic Details
Main Authors: Mohd Yusof, Mashor, Prof. Dr., M. K., Osman, R., Arshad
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2010
Subjects:
Explore > Penerbitan universiti
UniMAP > Publications
UniMAP > Research and development
3D objects
Recognition system
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10134
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spelling my.unimap-101342010-11-01T03:38:00Z 3D object recognition: Views, moment invariants & perceptron networks Mohd Yusof, Mashor, Prof. Dr. M. K., Osman R., Arshad Explore -- Penerbitan universiti UniMAP -- Publications UniMAP -- Research and development 3D objects Recognition system Computer vision recognition typically involves sensors, a model database containing information about the object representations and decision making or categorization. Sensors gather images that are processed to represent it as the database models and a recognition algorithm is applied to find the model to which the object best matches, known as model-based object recognition system. 2010-11-01T01:43:09Z 2010-11-01T01:43:09Z 2007-08 Article p.8-9 1823-9633 http://hdl.handle.net/123456789/10134 en Explore August 2007 Universiti Malaysia Perlis (UniMAP) Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi)
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 Explore -- Penerbitan universiti
UniMAP -- Publications
UniMAP -- Research and development
3D objects
Recognition system
spellingShingle Explore -- Penerbitan universiti
UniMAP -- Publications
UniMAP -- Research and development
3D objects
Recognition system
Mohd Yusof, Mashor, Prof. Dr.
M. K., Osman
R., Arshad
3D object recognition: Views, moment invariants & perceptron networks
description Computer vision recognition typically involves sensors, a model database containing information about the object representations and decision making or categorization. Sensors gather images that are processed to represent it as the database models and a recognition algorithm is applied to find the model to which the object best matches, known as model-based object recognition system.
format Article
author Mohd Yusof, Mashor, Prof. Dr.
M. K., Osman
R., Arshad
author_facet Mohd Yusof, Mashor, Prof. Dr.
M. K., Osman
R., Arshad
author_sort Mohd Yusof, Mashor, Prof. Dr.
title 3D object recognition: Views, moment invariants & perceptron networks
title_short 3D object recognition: Views, moment invariants & perceptron networks
title_full 3D object recognition: Views, moment invariants & perceptron networks
title_fullStr 3D object recognition: Views, moment invariants & perceptron networks
title_full_unstemmed 3D object recognition: Views, moment invariants & perceptron networks
title_sort 3d object recognition: views, moment invariants & perceptron networks
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10134
_version_ 1643789652144947200
score 13.222552

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