Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP0560847
Funding Status
Closed
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Funded Activity Summary
Fruit shape estimation from stereoscopic images in real time. The research aims at improving the process of automatic fruit inspection and classification. Existing stereo vision algorithms to extract depth information are unsuitable for real time calculations. The increasing complexity and reducing cost of field programmable gate arrays along with the development of algorithms that have a high degree of parallelism and locality has created the possibility of performing the calculations required in real time. This projects aims to investigate the suitability of the various stereo vision algorithms available in the literature for real time hardware implementation with application to fruit shape estimation it real time.Funded Activity Details
Start Date: 12-2005
End Date: 06-2009
Funding Scheme: Linkage Projects
Funding Amount: $72,444.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Image Processing | Computer Vision | Artificial Intelligence and Image Processing | Pattern Recognition
