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Details of Grant 

EPSRC Reference: EP/D05429X/1
Title: Matching and Painting using Gestalt Models
Principal Investigator: Hall, Professor PM
Other Investigators:
Researcher Co-Investigators:
Dr JP Collomosse
Project Partners:
Department: Computer Science
Organisation: University of Bath
Scheme: Standard Research (Pre-FEC)
Starts: 01 April 2006 Ends: 30 September 2009 Value (£): 275,797
EPSRC Research Topic Classifications:
Computer Graphics & Visual. Image & Vision Computing
EPSRC Industrial Sector Classifications:
Creative Industries
Related Grants:
Panel History:  
Summary on Grant Application Form
When an artist makes a drawing or painting of the real world in front of them, they constantly compare what they see to their art. They retouch their art, sometimes to make it more accurate, other times to bring out parts of the scene that interest them. The point is that making art involves seeing somethings as more important than others, and requires an ability to match artwork to the real world. If we replace the artist by a computer we should expect the same things to be true, but at the moment this is not the case. Our proposal is to match photographs and artwork so machines can make better - and new - art. Doing so offers more benefits than producing better artwork, it is a basic technique we can use to help machines identify important parts of a photograph, which helps computers see the world through human eyes just a little more.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
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Further Information:  
Organisation Website: http://www.bath.ac.uk