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Details of Grant 

EPSRC Reference: GR/R87642/01
Title: Basic Technology:Next generation artifical vision systems : reverse engineering human visual processes
Principal Investigator: Petrou, Professor M
Other Investigators:
Toumazou, Professor C Bharath, Professor AA Kennard, Professor C
Researcher Co-Investigators:
Project Partners:
Department: Sch of Electronics & Physical Sciences
Organisation: University of Surrey
Scheme: Standard Research (Pre-FEC)
Starts: 01 October 2002 Ends: 31 August 2005 Value (£): 2,739,688
EPSRC Research Topic Classifications:
Image & Vision Computing
EPSRC Industrial Sector Classifications:
Electronics Creative Industries
Information Technologies
Related Grants:
Panel History:  
Summary on Grant Application Form
SummaryDescribe the proposed research in about 200 words.The aim of this research is to develop the technology required for a new generation of artificial (computer) vision systems which embody the adaptability and invariant properties of human vision. This will entail a complete re-design of existing paradigms of machine vision, beginning with a new image sensor created from photosensitive organic polymers deposited onto an analogue chip that performs adaptive spatial filtering in a manner similar to that of the human retina. Signals from the chip will be processed by parallel computer vision algorithms, designed to replicate the mechanistic processing of the human primary visual cortex, and tailored to function on irregularly sampled visual fields. Search algorithms, based on the study of human pre-attentive and goal-directed, attentive search strategies will provide medium to high-level functionality for tasks such as object-recognition and tracking, and will directly support machine learning approaches to computer vision. This technological aim will be met by assembling a truly multidisciplinary team of researchers to reverse-engineer human visual processing, and provide a blueprint' for the artificial systems. A consequence of meeting the technological aim will be a more rigorous insight into the mechanisms of biological vision, and a greater understanding of visual deficiencies in human patients.
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Further Information:  
Organisation Website: http://www.surrey.ac.uk