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...
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/2256/ http://scholars.utp.edu.my/id/eprint/2256/1/PID1193985.pdf |
| _version_ | 1848659219709952000 |
|---|---|
| author | Hamada , R. H. Al-Absi Azween, Abdullah |
| author_facet | Hamada , R. H. Al-Absi Azween, Abdullah |
| author_sort | Hamada , R. H. Al-Absi |
| building | UTP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-13T07:26:57Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:2256 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:26:57Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:22562017-01-19T08:24:42Z http://scholars.utp.edu.my/id/eprint/2256/ Biologically Inspired Object Recognition System Hamada , R. H. Al-Absi Azween, Abdullah QA75 Electronic computers. Computer science 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 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2256/1/PID1193985.pdf Hamada , R. H. Al-Absi and Azween, Abdullah (2010) Biologically Inspired Object Recognition System. In: ITSIM'10. |
| spellingShingle | QA75 Electronic computers. Computer science Hamada , R. H. Al-Absi Azween, Abdullah Biologically Inspired Object Recognition System |
| title | Biologically Inspired Object Recognition System |
| title_full | Biologically Inspired Object Recognition System |
| title_fullStr | Biologically Inspired Object Recognition System |
| title_full_unstemmed | Biologically Inspired Object Recognition System |
| title_short | Biologically Inspired Object Recognition System |
| title_sort | biologically inspired object recognition system |
| topic | QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/2256/ http://scholars.utp.edu.my/id/eprint/2256/1/PID1193985.pdf |