| EPSRC Reference: |
GR/M10854/01 |
| Title: |
A NONLINEAR MODEL OF SPATIAL FILTER BINDING FOR EDGE DETECTION IN HUMAN VISION |
| Principal Investigator: |
Meese, Professor T |
| Other Investigators: |
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| Department: |
Vision Sciences |
| Organisation: |
Aston University |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 February 1999 |
Ends: |
31 January 2000 |
Value (£): |
51,233
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| EPSRC Research Topic Classifications: |
| Vision & Senses - ICT appl. |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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An essential component of human vision that is not yet understood is the detection and segmentation of spatial features. Here, a reverse-engineering approach is used to derive a computational model that can mimic a catalogue of psychophysically derived percepts of 2D, periodic stimuli, designed specifically to reveal the early spatial filtering process in human vision(Georgeson & Meese, 1997, Vis Res, 37, 3255-3271). A heursitic for binding and segmentating spatial filters is derived and implemented in an iteractive network, where filter output is treated as a vector: binding occurs when vector-responces of filters have similar directions. At the heart of the model lies the Fourier association field an arrangement of links between tuned spatial filters. The primary aim of the project is to legitimise the model by establishing parameter values for quantitative modelling of publishing data. A second aim is to extend the model to process non-periodic stimuli by including links between filters in the spatial domain. Comparisons with human performance in image segmentation tasks such as the perception of faces after coarse-quantisation & band -stop filtering will test the model. The overall aim is to build the first psychophysical derived computational model of perceived structure in human vision.
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Key Findings |
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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 |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| 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 |
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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: |
http://www.aston.ac.uk |