| EPSRC Reference: |
GR/N62997/01 |
| Title: |
ROBUST STATISTICS, COMPUTER VISION AND SHAPE ANALYSIS |
| Principal Investigator: |
Kent, Professor J |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Statistics |
| Organisation: |
University of Leeds |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
10 July 2000 |
Ends: |
09 August 2000 |
Value (£): |
3,285
|
| EPSRC Research Topic Classifications: |
| Image & Vision Computing |
Statistics & Appl. Probability |
|
| EPSRC Industrial Sector Classifications: |
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
Robust statistical methods are of key importance both in general statistical methodology and in computer vision. Much of the development has occurred separately in the two disciplines, but recently links between the two areas have been explored. Thus the time is ripe to use these links to support new developments in both areas. A key application will be the application of deformable templates from shape analysis to the fitting of complicated objects in images.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
http://www.leeds.ac.uk |