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https://hdl.handle.net/2440/50957
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Type: | Conference paper |
Title: | Applications for bio-inspired visual processing algorithms |
Author: | Brinkworth, R. O'Carroll, D. |
Citation: | 2008 23rd International Conference Image and Vision Computing New Zealand (IVCNZ) / Irie, K. (ed.): pp. 1-6 |
Publisher: | IEEE |
Publisher Place: | USA |
Issue Date: | 2008 |
ISBN: | 9781424437801 |
Conference Name: | International Conference on Image and Vision Computing New Zealand (23rd : 2008 : Christchurch, NZ) |
Statement of Responsibility: | R.S.A. Brinkworth & D.C. O’Carroll |
Abstract: | The extraction of useful cues for object identification and navigation through visual scenes is technically challenging. Traditionally designed artificial systems struggle to solve this task in real time, despite utilising high-resolution cameras, sophisticated software and computers with hundreds of millions of transistors. However insects, with low-resolution eyes and small brains (less than a million neurons), are able to avoid obstacles and successfully navigate through complex surrounds during high-speed flight. By studying the underlying neuronal processes governing this remarkable ability it has been possible to reverse engineer models for biological visual processing which rival insects in image normalisation (ability to detect objects independent of environmental conditions) and fast, reliable motion detection across different scenes. These models have been implemented in both software simulations and real-world hardware. © 2008 IEEE. |
Keywords: | Biorobotics Computational models of vision Computer vision Image models Motion estimation |
Description: | © Copyright 2008 IEEE – All Rights Reserved |
DOI: | 10.1109/IVCNZ.2008.4762075 |
Published version: | http://dx.doi.org/10.1109/ivcnz.2008.4762075 |
Appears in Collections: | Aurora harvest Molecular and Biomedical Science publications |
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