EPSRC Reference: |
EP/I030328/1 |
Title: |
Persistent topological structures in noisy images |
Principal Investigator: |
Kurlin, Dr V |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Mathematical Sciences |
Organisation: |
Durham, University of |
Scheme: |
First Grant - Revised 2009 |
Starts: |
08 August 2011 |
Ends: |
07 August 2013 |
Value (£): |
99,975
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EPSRC Research Topic Classifications: |
Algebra & Geometry |
Image & Vision Computing |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
Panel Date | Panel Name | Outcome |
24 May 2011
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Mathematics Prioritisation Panel Meeting May 2011
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Announced
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Summary on Grant Application Form |
The proposed research is on the interface between topology and algorithms.The methods are topological coming from the recently developed theory of persistent topology.The key idea of persistent topology is identifying features of geometric objects that remain stable for a wide range of varying parameters. The research objectives are applied and involve designing novel learning algorithms to recognise topological graphs in noisy images.A natural application is identifying a text-based advanced CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) widely used on the web to prevent automatic posting to blogs.A desired learning algorithm will be parallel like the human brain analysing local persistent properties of pixels in a noisy image.Hence it is the next step towards reverse-engineering the human brain.Other potential applications include recognising handwritten mail addresses and designing computer glasses reading signs of directions for blind people.
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Key Findings |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
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