Details of Grant 

EPSRC Reference:	GR/R08629/01
Title:	Inspection With An Active Pointing Camera
Principal Investigator:	Illingworth, Professor J
Other Investigators:	Kittler, Professor J
Researcher Co-Investigators:
Project Partners:	McLaren Group
Department:	Sch of Electronics & Physical Sciences
Organisation:	University of Surrey
Scheme:	Fast Stream
Starts:	01 October 2001	Ends:	30 September 2004	Value (£):	62,477
EPSRC Research Topic Classifications:	Image & Vision Computing
EPSRC Industrial Sector Classifications:	Manufacturing Transport Systems and Vehicles
Related Grants:
Panel History:
Summary on Grant Application Form
We propose to enhance the resolution & performance of visual inspection systems by the use of an active camera system. With inspection quality limited by the resolution of the camera employed, we see this as an important application of active vision. With an active vision system a camera with very high angular resolution, but small field of view can be employed, the effective field of view being increased by rotating the camera to view different parts of the inspected object.1 Geometric measurement. The goal is to make one or more measurements of the object, for instance distance or surface curvature measurements. Here both the resolution of the pointing camera and the mechanical pointing are relevant. However we hope to demonstrate that higher geometric accuracy is possible with our proposed system than with a fixed high-resolution camera.2 Defect detection. Here the problem is to inspect the whole or part of the object for defects such as cracks and holes. The main limiting factor here is the angular resolution camera, which determines whether a small defect will be visible or not. The accuracy of the active pointing system is not so important, so long as good fixation control is available with the system. The gains in reliability through the use of a narrow-angle pointing camera are potentially significant.We will build a real-time active vision system, and implement control and vision algorithms to evaluate its performance.
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Organisation Website:	http://www.surrey.ac.uk