Ray Ruocco
- Contact details
- Activities and responsibilities
- Interests and Expertise
- Teaching: Programmes
- Teaching: Modules
- Current research and publications
- Research archive
- Other scholarly activities
- Abstracts
Contact details
Position: Principal Lecturer
Location: EB1.103
Telephone: +44 (0) 20 8223 2432
Email: r.ruocco@uel.ac.uk
Contact address:
School of Architecture, Computing and Engineering (ACE)4 - 6 University Way
Beckton
London E16 2RD
Brief biography
Activities and responsibilities
- European Relations and Recruitment
- Collaborative Links with EU institutions
- Collaborative Links (Engineering) with Turkish universities
- Chair of Recuitment & Promotion Group
Areas of Interest/Summary of Expertise
- Electrical & Electronics Engineering (particularly Sustainable Technologies and Alternative Energy Systems)
- Sensors and Instrumentation Systems (particularly 3D Vision and Robotics sensors)
- E-Learning and On-line knowledge delivery technologies/methodologies
Teaching: Programmes
Teaching: Modules
- Module Leader CE0103
- Module Leader CE0107
- Module Leader EE2401
- Module Leader EE3401
Current research and publications
Research archive
- Systematic Errors in Active 3D vision Sensors, IEE Proceedings of Vision, Image and Signal Processing; Vol 150, Mo6, Dec 2003, pp341-45
- plus 18 other published journal/conference papers in the field of Sensors and Robotics
Other scholarly activities
- Robot Sensors and Transducers, Open University Press, 1987, ISBN 0-335-15408-5
- CEng
- MIEE
- MRSA
- MSPIE
Abstracts
Sensors are becoming increasingly widespread in applications ranging from mundane CCTV to complex automated industrial inspection and biometric security systems. Vision sensors used in industrial automation applications – particularly vision guided robot manipulation - can benefit from the use of mathematical models - such as the Model Driven Image Acquisition (MDIA) algorithm - to help reduce the overall processing time. However, mathematical models such as the MDIA can be adversely affected in applications where the objects to be imaged have surfaces with near-specular reflection characteristics (e.g. polished surfaces).
Work has been undertaken on the development, implementation and testing of an enhanced image acquisition algorithm for an active 3D vision sensor which overcomes such limitations by including secondary surface reflections within its mathematical model. The results show a significant improvement when comparing the Matlab implementation of such an enhanced MDIA algorithm with the images obtained experimentally on 4 test pieces displaying both specular and non-specular surface characteristics.
