Details of Grant 

EPSRC Reference:	GR/N33348/01
Title:	SPECTRAL RETREIVAL FROM LARGE STRUCTURAL DATA-BASES
Principal Investigator:	Hancock, Professor E
Other Investigators:	Wilson, Professor R
Researcher Co-Investigators:
Project Partners:	Defence Science and Technology Laborator
Department:	Computer Science
Organisation:	University of York
Scheme:	Standard Research (Pre-FEC)
Starts:	01 May 2001	Ends:	31 October 2004	Value (£):	205,982
EPSRC Research Topic Classifications:	Image & Vision Computing Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:	Aerospace, Defence and Marine Information Technologies No relevance to Underpinning Sectors
Related Grants:
Panel History:	Panel Date Panel Name Outcome 12 Jul 2000 Software Technologies July 2000 Deferred
Summary on Grant Application Form
This proposal aims to develop practical methods for structural object recognition from large image data-bases. The work takes as its starting point two pieces of research at York. The first of these is a new framework for the topographic characterisation of image features. The second is the use of graph-based methods for image retrieval from large image data-bases. These two pieces of research provide a competence to develop a two-pronged approach to structural image retrieval. First, we aim to extend the shock-graph idea of Zucker et al from binary image data to grey-scale image data. This will provide a richer representation of object structure than has hitherto been possible. Second, we intend to combine ideas from statistical mixture modelling and spectral graph theory to develop methods for clustering and matching the resulting grey-scale shock graphs. The new methodology will be evaluated on image data-bases furnished by DERA.
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Organisation Website:	http://www.york.ac.uk