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A Proposed Biologically Inspired Model for Object Recognition

Hamada , R. H. Al-Absi and Azween, Abdullah (2009) A Proposed Biologically Inspired Model for Object Recognition. In: Visual Informatics: Bridging Research and Practice. ACM.

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Abstract

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 feedforward 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 feedforward and feedback functions in the visual cortex is proposed.

Item Type:Book Section
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:802
Deposited By: Assoc Prof Dr Azween Abdullah
Deposited On:18 Mar 2010 00:46
Last Modified:19 Jan 2017 08:25

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