eprintid: 1112
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/11/12
datestamp: 2023-11-09 15:49:16
lastmod: 2023-11-09 15:49:16
status_changed: 2023-11-09 15:39:02
type: conference_item
metadata_visibility: show
creators_name: Al-Absi, H.R.H.
creators_name: Abdullah, A.B.
title: Biologically inspired object recognition system
ispublished: pub
keywords: Bioinspired systems; Biological visions; Biologically inspired; Computational system; Computer scientists; Feed-Forward; Feedback mechanisms; Human Visual System; Human visual systems; Object recognition systems; State-of-the-art system; Visual systems, Animals; Computer vision; Information technology, Object recognition
note: cited By 2; Conference of 2010 International Symposium on Information Technology, ITSim'10 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:81915
abstract: 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 IEEE.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049369573&doi=10.1109%2fITSIM.2010.5561297&partnerID=40&md5=8a4d339f4f650de54e320b4faedc393a
id_number: 10.1109/ITSIM.2010.5561297
full_text_status: none
publication: Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10
volume: 1
place_of_pub: Kuala Lumpur
refereed: TRUE
isbn: 9781424467181
citation:   Al-Absi, H.R.H. and Abdullah, A.B.  (2010) Biologically inspired object recognition system.  In: UNSPECIFIED.