Human and Machine Vision


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After leaving the Human Visual Perception Laboratory at the University of St. Andrews, where I worked on human face perception (and other sundries), I moved from human to machine vision.
I am interested in AI and model-based techniques in machine vision. Here, by models I mean both representations and active processes such as snakes and neural networks. These have (in the past) been predominantly in medical image domains.

Cephalometry and Orthodontics
Cervical Cancer
Human Neuroanatomy (CT/MR).
Leg Fractures
and Non-medical domains such as:
Microfossils in Geological Samples
Perception in Agents

The last medical machine vision project involved a collaboration with the Department of Nuclear Medicine at Hull Royal Infirmary, looking at Myocardial SPECT images. The short research project involved the use of cellular automata for segmentation. This technique i refer to as active pixel processing. The work remains unpublished due to time constraints.

Current interests, involving two PhD research students, revolve around Perception in Agents arising out of a cogitive model of perception (and affordances) related to work on motivation. This includes a connectionist approach to the learning of perceptual symbols and robot vision related to action and motivation. Both projects are part of an ongoing (heavily underfunded) research project on architectures for cognition and affect. I estimate that this project will involve some fraction of twenty years of my time dating from 1995.

Active Contour Models

Multiple Energy Function Active Contours Applied to CT and MR Images
  Davis, D.N., Natarajan, K. and Claridge, E., IEE Image Processing Conference, 1995.
Multiple Energy Function Active Contours Applied to CT and MR Images (Extended)
    D.N. Davis, CSIRP 95-1, AIM Project Computer Science Report 1995.

Neural Networks applied to Machine Vision

NEURAL NETWORKS FOR X-RAY IMAGE SEGMENTATION
    Davis, D.N., Linyang, S. and Sharp, B., 12th International Conference on Control Systems and Computer Science

AI Architectures for Machine Vision

Knowledge-Based Medical Image Interpretation
    PhD Thesis Abstract, 1991
Tightly-Coupled Agent Architecture 1
    Unpublished Paper, 1997

Other Machine/Human Vision Papers (Not currently available online)

The Application of Neural Networks to X-ray Image Segmentation,

Linyang, S., Davis, D.N. and Sharp, B.
First International Conference on Enterprise Information Systems, ICEIS, Portugal, 1999.
The symbolic atlas of the brain: handling non-visual information associated with neuroanatomy.
Natarajan, K., Davis, D.N. and Claridge, E.,
Medical Informatics, Vol. 21, No. 1, 1-22, 1996.
Automated Cephalometric Analysis.
Forsyth, D. and Davis, D.N.,
European Journal Of Orthodontics, Vol. 1995.
Automated Cephalometry.
Forsyth, D. and Davis, D.N.,
American Orthodontic Congress, San Francisco, May 1995.
A curvature sensitive filter and its application in microfossil image characterisation.
Oakley, J.P., Shann, R.T. and Davis, D.N.,
Image and Vision Computing, 1994.
A Database Management System For Vision Applications.
Oakley, J.P., Davis, D.N., Shann, R.T. and L. Hugeville,
British Machine Vision Conference, University of Birmingham, September 1994.
Knowledge-based cephalometric analysis: A comparison with clinicians using interactive methods.
Davis, D.N., and Forsyth, D.,
Computers and Biomedical Research, Vol 27, 1994.
Detection of circular arcs for content-based retrieval from an image database.
Shann, R.T., Oakley, J.P., Davis, D.N., and White, F.M.,
IEE Vision, Image and Signal Processing, Vol. 141, No. 1, pp 49-55, 1994.
Evaluation of an application-independent image information system.
Oakley, J.P., Shann, R.T. and Davis, D.N.
SPIE Proceedings, Vol. , Storage and Retrieval for Image and Video Databases II, 1994.
Microfossil image characterisation within a content addressable image database.
Davis, D.N., Shann, R.T., Oakley, J.P., and White, F.M.
Proceedings Of 8th Scandinavian Conference On Image Analysis, pp 235-242, May 1993.
Manchester Visual Query Language,
Davis, D.N., Oakley, J.P., Shann, R.T., White, F.M. and Xydeas,C.S.
Joint Forum On Information Technology, University Of Keele, March 22-24, 1993.
The Manchester Visual Query Language.
Oakley, J.P., Davis, D.N., and Shann, R.T.
SPIE Proceedings, V. 1908, Storage and Retrieval for Image and Video Databases, 104-114, 1993.
Detection and characterisation of Carboniferous Formainifers for content-based retrieval from an image database.
Oakley, J.P., Shann, R.T., Davis, D.N. and White, F.M.
SPIE Proceedings, V. 1908, Storage and Retrieval for Image and Video Databases, 188-197,1993.
Towards a quantitative understanding of facial caricatures.
Benson, P.J., Perrett, D.I. and Davis, D.N.,
Chapter 4, Processing Images Of Faces, V. Bruce and M. Burton (Eds), Ablex, 1992.
Towards an automated detection and identification tool for carboniferous foraminifera.
White, F., Adams, A., Oakley, J., Shann, R. and Davis, D
Paleontologists Association, Southampton, 14-16th December, 1992.
Knowledge-Based Systems For Medical Image Interpretation.
Davis, D.N., Ph.D. Thesis,
Wolfson Image Analysis Unit, Faculty of Medicine, Victoria University of Manchester, 1991.
A blackboard architecture for medical image interpretation.
Davis, D.N. and Taylor, C.J.,
Proceedings Of SPIE90:Medical Imaging V, pp. 421-432, San Jose, California, February 1991.
Reliability of cephalometric analysis using manual and interactive computer methods.
Davis, D.N. and Mackay, F.
The British Journal Of Orthodontics, Vol. 18, pp 105-109, 1991.
A blackboard architecture for automating cephalometric analysis.
Davis, D.N. and Taylor, C.J.
Medical Informatics, Vol. 16, No. 2, pp 137-149, 1991.
A blackboard architecture for automating cephalometric analysis.
Davis, D.N. and Taylor, C.J.,
Computer Aided Interpretation Of Medical Images, The British Institute Of Radiology, 1990.
An intelligent visual task system for lateral skull X-ray images.
Davis, D.N. and Taylor, C.J.,
Proceedings of The British Machine Vision Conference, pp. 291-295, University of Oxford, 1990.
An intelligent segmentation system for lateral skull X-ray images.
Davis, D.N. and Taylor, C.J.,
Proceedings of The Fifth Alvey Vision Conference, pp. 251-255, University of Reading, 1989.
Recognition and identification of heads and objects from different perspectives.
Harries, M., Perrett, D.I., Davis, D.N., Thomas S. and Lavender,A.
British Experimental Psychology Association, Edinburgh, May 1988.
Recognition of heads and objects from different perspectives.
Harries, M., Perrett, D.I., Davis, D.N. and Lavender, A.,
ESRC Face Recognition Group, Grange-over-Sands, February 1988.

Applications To Date Include

Cephalometry and Orthodontics
MicroFossils
MR and CT images of the Human Brain
X-Ray Images of the Leg
Female Faces

Comments to: Dr D.N.Davis@hull.ac.uk
Last Updated March 2005