TY  - JOUR
VL  - 5857 L
JF  - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A1  - Al-Absi, H.R.H.
A1  - Abdullah, A.B.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-76549132991&doi=10.1007%2f978-3-642-05036-7_21&partnerID=40&md5=a20ede68e44378ec4a2782bddac3ba65
Y1  - 2009///
ID  - scholars613
KW  - Bioinspired systems; Biological visions; Biologically inspired models; Computational model; Computer scientists; Feed-Forward; Feedback functions; Feedback model; Human Visual System; Information processing; Machine vision; Visual cortexes; Visual systems
KW  -  Biology; Computer vision; Data processing
KW  -  Object recognition
N2  - Object recognition has attracted the attention of many researchers as it is considered as one of the most important problems in computer vision. Two main approaches have been utilized to develop object recognition solutions i.e. machine and biological vision. Many algorithms have been developed in machine vision. Recently, Biology has inspired computer scientist to map the features of the human and primate's visual systems into computational models. Some of these models are based on the feed-forward mechanism of information processing in cortex; however, the performance of these models has been affected by the increase of clutter in the scene. Another mechanism of information processing in cortex is called the feedback. This mechanism has also been mapped into computational models. However, the results were also not satisfying. In this paper an object recognition model based on the integration of the feed-forward and feedback functions in the visual cortex is proposed. © 2009 Springer-Verlag.
CY  - Kuala Lumpur
EP  - 222
SN  - 03029743
SP  - 213
TI  - A proposed biologically inspired model for object recognition
N1  - cited By 1; Conference of 1st International Visual Informatics Conference, IVIC 2009 ; Conference Date: 11 November 2009 Through 13 November 2009; Conference Code:79347
AV  - none
ER  -