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Biologically Inspired Object Recognition System

The human visual system (HVS) has an amazing ability in recognizing any objects which it has a previous knowledge about. With the advances in computer vision, human visual system still beat any state-of-the-art system. Neuroscientists have been studying the visual system of the animals and huma...

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Main Authors: Hamada , R. H. Al-Absi, Azween, Abdullah
Format: Conference or Workshop Item
Published: 2010
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utp.edu.my/2256/1/PID1193985.pdf
http://eprints.utp.edu.my/2256/
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id my.utp.eprints.2256
record_format eprints
spelling my.utp.eprints.22562017-01-19T08:24:42Z Biologically Inspired Object Recognition System Hamada , R. H. Al-Absi Azween, Abdullah QA75 Electronic computers. Computer science The human visual system (HVS) has an amazing ability in recognizing any objects which it has a previous knowledge about. With the advances in computer vision, human visual system still beat any state-of-the-art system. Neuroscientists have been studying the visual system of the animals and human for a long time in order to understand how their visual systems work. Computer scientist utilized the findings on the HVS and mapped the functions of the visual system into computational systems. This paper presents a research work in the area of biological vision where a model of object recognition that has been inspired by the feed-forward and feedback mechanisms in the human visual system is presented. 2010 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/2256/1/PID1193985.pdf Hamada , R. H. Al-Absi and Azween, Abdullah (2010) Biologically Inspired Object Recognition System. In: ITSIM'10. http://eprints.utp.edu.my/2256/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Hamada , R. H. Al-Absi
Azween, Abdullah
Biologically Inspired Object Recognition System
description The human visual system (HVS) has an amazing ability in recognizing any objects which it has a previous knowledge about. With the advances in computer vision, human visual system still beat any state-of-the-art system. Neuroscientists have been studying the visual system of the animals and human for a long time in order to understand how their visual systems work. Computer scientist utilized the findings on the HVS and mapped the functions of the visual system into computational systems. This paper presents a research work in the area of biological vision where a model of object recognition that has been inspired by the feed-forward and feedback mechanisms in the human visual system is presented.
format Conference or Workshop Item
author Hamada , R. H. Al-Absi
Azween, Abdullah
author_facet Hamada , R. H. Al-Absi
Azween, Abdullah
author_sort Hamada , R. H. Al-Absi
title Biologically Inspired Object Recognition System
title_short Biologically Inspired Object Recognition System
title_full Biologically Inspired Object Recognition System
title_fullStr Biologically Inspired Object Recognition System
title_full_unstemmed Biologically Inspired Object Recognition System
title_sort biologically inspired object recognition system
publishDate 2010
url http://eprints.utp.edu.my/2256/1/PID1193985.pdf
http://eprints.utp.edu.my/2256/
_version_ 1738655178602577920
score 13.154949

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