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: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/2256/1/PID1193985.pdf http://eprints.utp.edu.my/2256/ |
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| Summary: | 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. |
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