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EPSRC Reference: GR/K79727/01
Title: MULTI-SCALE REPRESENTATION AND RECOGNITION OF 3-D OBJECTS THROUGH GEOMETRIC INVARIANTS
Principal Investigator: Mokhtarian, Dr F
Other Investigators:
Illingworth, Professor J
Researcher Co-Investigators:
Project Partners:
Roke Manor Research Ltd
Department: Sch of Electronics & Physical Sciences
Organisation: University of Surrey
Scheme: Standard Research (Pre-FEC)
Starts: 16 September 1996 Ends: 15 December 1999 Value (£): 141,240
EPSRC Research Topic Classifications:
Image & Vision Computing
EPSRC Industrial Sector Classifications:
Healthcare
Related Grants:
Panel History:  
Summary on Grant Application Form
The concepts of multi-scale analysis and geometric invariants have been used together successfully by the author to devise shape representations for 2D and 3D contours. These representations are quite robust with respect to noise as well as local shape distortions and can be used effectively to recognise contours with arbitrary shapes under general shape-preserving transforms. The representation for 2D contours, referred to as the Curvature Scale Space image, incorporates curvature zero-crossing points corresponding to varying levels of detail on the underlying contour. The corresponding representation for 3D contours, referred to as the Torsion Scale Space image, accomplishes the same task using torsion zero-crossing points. The intention of this work is to generalise these ideas to develop multi-scale representations for 3D surfaces with arbitrary shapes incorporating invariant geometric features of those surfaces.
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Organisation Website: http://www.surrey.ac.uk