relation: https://khub.utp.edu.my/scholars/1112/
title: Biologically inspired object recognition system
creator: Al-Absi, H.R.H.
creator: Abdullah, A.B.
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. © 2010 IEEE.
date: 2010
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Al-Absi, H.R.H. and Abdullah, A.B.  (2010) Biologically inspired object recognition system.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049369573&doi=10.1109%2fITSIM.2010.5561297&partnerID=40&md5=8a4d339f4f650de54e320b4faedc393a
relation: 10.1109/ITSIM.2010.5561297
identifier: 10.1109/ITSIM.2010.5561297