| EPSRC Reference: |
GR/M84107/01 |
| Title: |
HIGHER-ORDER STATISTICAL REGULARITIES IN NATURAL SCENES: CAUSES AND SIGNIFICANCE |
| Principal Investigator: |
Thomson, Dr M |
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| Department: |
Colour Imaging & Multi Media Res Inst |
| Organisation: |
University of Derby |
| Scheme: |
Fast Stream |
| Starts: |
10 June 2000 |
Ends: |
09 October 2001 |
Value (£): |
52,466
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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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Human perception of images appears to depend much more critically on Fourier phase than on Fourier amplitude, yet existing models of natural scenes generally quantify only first- and second- order scene structure. It has recently been shown, however, that natural scenes display consistent higher-order regularities, and the present proposal aims to provide a better understanding of these consistencies through the use of simple generative models of scene structure. Existing generative scene models will be extended so as to produce simple libraries of semi-synthetic scenes whose higher-order statistics can be varied by changing the parameter of the models. Their higher-oder spectra will be computed and compared with those of natural images to determine which sorts of physical processes impose constraints on higher-order structure. These scenes will then be used in psychophysical discrimination experiments to assess whether the human visual system is optimised to process scenes whose higher-order statistics are similar to those in natural images. Finally, an existing computational model observer will be modified to take account of the known higher-order properties of natural scenes, and its performance will be compared with that of the human subjects in the psychophysical experiments.
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Key Findings |
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Potential use in non-academic contexts |
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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 |
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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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