Award details

Inference and learning in machine vision

Reference	BBS/E/S/00000451
Principal Investigator / Supervisor	Professor J Marchant
Co-Investigators / Co-Supervisors
Institution	Silsoe Research Institute
Department	Silsoe Research Institute Department
Funding type	Research
Value (£)	481,300
Status	Completed
Type	Institute Project
Start date	01/04/2001
End date	31/03/2005
Duration	48 months

Abstract

The objective is to investigate soft methods in machine vision which will include (a) developing methods that operate by training (b) developing algorithms for extracting approximate but useful information (c) developing methods for combining information from algorithms. Most methods in machine vision use precise mathematical techniques to make some sort of measurement. As machine vision matures, and therefore is expected to deliver real working systems, we see a growing strand of research towards the softer end of computing ie systems that can learn and systems that can reason and come to conclusions given various sources of information. This movement may well be encouraged by the fact that humans probably do not do hard calculations but nevertheless make reasonable decisions. The understanding generated by this project will be generic but in particular we will develop algorithms for colour, texture and 3D relationships. With natural objects it may also be easier to get qualitative rather than quantitative outputs and we will investigate to what degree the scene can be classified given this loose information. We will also investigate whether and by how much performance is improved by combining evidence from a series of loose algorithms.

Summary

unavailable

Committee	Closed Committee - Engineering & Biological Systems (EBS)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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