Hannah Dee BSc, MA, PhD University of Leeds

Senior Lecturer

Contact Details

Room Number..........:  E44
Building....................:  Llandinam
Phone.......................:   +44 (0)1970 621577
E-Mail........................:   hmd1
Home Page...............:   Personal

External Publication Websites:
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Hannah has a BSc in Cognitive Science (1996), an MA in Philosophy (1998) and a PhD in Computing (2005) all from the University of Leeds. Her research areas are applied computer vision; the detection of shadows and reasoning about shadows; and student attitudes to the study of computer science. She has held postdoctoral positions in Grenoble (France), Leeds, and Kingston upon Thames. She is also a women in computing activist: she runs the BCSWomen Lovelace Colloquium, a national conference for women undergraduates in computer science, and has been on the committee of BCSWomen since 2007.

Research Groups

Teaching Areas

Modules Taught



Bell, J., Dee, H. 2017. Watching plants grow: A position paper on computer vision and Arabidopsis thaliana. IET Computer Vision 11 (2) pp. 113-121.


Santos, P.E., Martins, M.F., Fenelon, V., Cozman, F.G., Dee, H. 2016. Probabilistic self-localisation on a qualitative map based on occlusions. Journal of Experimental & Theoretical Artificial Intelligence 28 (5) pp. 781-799.

Scharr, H., Dee, H., French, A., Tsaftaris, S.A. 2016. Special issue on computer vision and image analysis in plant phenotyping. Machine Vision and Applications 27 (5) pp. 607-609.

Dee, H., Hughes, L., Roderick, G.L., Brown, A.D. 2016. Visual digital humanities: using image data to derive approximate metadata. In A. Foster., P. Rafferty. (eds) Managing Digital Cultural Objects: Analysis, discovery and retrieval. Facet Publishing, London pp. 89-110.


Seck, A., Dee, H.M., Tiddeman, B. 2014. 3D Facial Skin Texture Analysis Using Geometric Descriptors. 22nd International Conference on Pattern Recognition. 22nd International Conference on Pattern Recognition, Stockholm, Sweden, 24/08/2014 - 28/08/2014. IEEE Press, Stockholm pp. 1126 - 1131.

Pugh, M., Tiddeman, B., Dee, H.M., Hughes, P. 2014. Towards Automated Classification of Seabed Substrates in Underwater Video. Computer Vision for Analysis of Underwater lmagery Workshop: International Conference on Pattern Recognition. 22nd International Conference on Pattern Recognition, Stockholm, Sweden, 24/08/2014 - 28/08/2014. IEEE Press, Stockholm pp. 9-16.


Cao, J., Labrosse, F., Dee, H.M. 2013. An Evaluation of Image-Based Robot Orientation Estimation. Towards Autonomous Robotic Systems. Lecture Notes in Artificial Intelligence 14th Annual Conference, TAROS 2013, Oxford, United Kingdom of Great Britain and Northern Ireland, 28/08/2013 - 30/08/2013. Springer Nature pp. 135-147.

Brown, A., Roderick, G.L., Dee, H.M., Hughes, L. 2013. Can we date an artist's work from catalogue photographs? 8th International Symposium on Image and Signal Processing and Analysis (ISPA). 8th International Symposium on Image and Signal Processing and Analysis (ISPA), Trieste, Italy, 04/09/2013 - 06/09/2013. IEEE Press pp. 558-563.

Seck, A., Dee, H.M., Tiddeman, B. 2013. Local Orientation Patterns for 3D Surface Texture Analysis of Normal Maps: Application to Facial Skin Condition Classification. In G. Bebis., R. Boyle., B. Parvin., D. Koracin., B. Li., F. Porikli., V. Zordan., J. Klosowski., S. Coquillart., X. Luo., M. Chen., D. Gotz. (eds) Advances in Visual Computing: 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part I. Lecture Notes in Computer Science, vol. 8033 International Symposium on Visual Computing, Rethymnon, Greece, 29/07/2013 - 31/07/2013. Springer Nature pp. 572-581.

Fenelon, V., Santos, P.E., Dee, H.M., Cozman, F.G. 2013. Reasoning about shadows in a mobile robot environment. Applied Intelligence 38 (4) pp. 553-565. Cadair


Cao, J., Labrosse, F., Dee, H.M. 2012. A Novel Image Similarity Measure for Place Recognition in Visual Robotic Navigation. In G. Herrmann., M. Studley., M. Pearson., A. Conn., C. Melhuish., M. Witkowski., J. Kim., P. Vadakkepat. (eds) Advances in Autonomous Robotics: Lecture Notes in Artificial Intelligence. Lecture Notes in Computer Science, vol. 7429 Springer Nature pp. 414-415.

Dee, H.M., Cohn, A.G., Hogg, D.C. 2012. Building semantic scene models from unconstrained video. Computer Vision and Image Understanding 116 (3) pp. 446-456. Cadair

Zwiggelaar, R., Roscoe, J.F., Dee, H. 2012. Coping with Noise in Ultrasound Images: A review. Cadair

Vu, N., Dee, H.M., Caplier, A. 2012. Face recognition using the POEM descriptor. Pattern Recognition 45 (7) pp. 2478-2488. Cadair


Robson, P., Mos, M., Dee, H., Clifton-Brown, J.C., Donnison, I. 2011. Improving bioenergy crop yield and quality through manipulating senescence. Aspects of Applied Biology 112 pp. 323-328. Cadair

Dee, H., Santos, P.E. 2011. The Perception and Content of Cast Shadows: An Interdisciplinary Review. Spatial Cognition and Computation 11 (3) pp. 226-253. Cadair


Dee, H., Caplier, A. 2010. Crowd behaviour analysis using histograms of motion direction. Cadair Other

Dee, H., Boyle, R. 2010. Inspiring women undergraduates. Cadair

Santos, P.E., Fenelon, V., Dee, H. 2010. Knowledge-based adaptive thresholding from qualitative robot localisation using cast shadows. Spatial temporal dynamics workshop, ECAI, , 16/08/2010. Cadair Other

Dee, H., Santos, P.E., Fenelon, V. 2010. Knowledge-based adaptive thresholding from shadows. Cadair Other


Dee, H.M., Hogg, D.C. 2009. Navigational strategies in behaviour modelling. Artificial Intelligence 173 (2) pp. 329-342. Cadair

Fenelon, V., Dee, H., Santos, P.E. 2009. Qualitative robot localisation using information from cast shadows. pp. 220-225. Cadair

Hogg, D.C., Cohn, A.G., Dee, H. 2009. Scene modelling and classification using learned spatial relations. pp. 295-311. Cadair

Pau, R., Dee, H., Boyle, R., Petrie, K.E. 2009. Why are we still here?: Experiences of successful women in computing. pp. 233-237. Cadair


Dee, H.M., Velastin, S.A. 2008. How close are we to solving the problem of automated visual surveillance? A review of real-world surveillance, scientific progress and evaluative mechanisms. Machine Vision and Applications 19 (5-6) pp. 329-343. Cadair

Dee, H., Fraile, R., Hogg, D.C., Cohn, A.G. 2008. Modelling scenes using the activity within them. Springer Lecture notes in Artificial Intelligence (Spatial Cognition VI), , 15/09/2008. pp. 394-408. Cadair

Santos, P.E., Fenelon, V., Dee, H. 2008. Notes on a qualitative theory of shadows. pp. 47-54. Cadair Other

Komisarczuk, J., Petrie, K.E., Ross, M., Paterson, F., Dee, H., Boldyreff, C., Massey, E. 2008. Using Computer based Systems to Address the Gender Imbalance in Computing. Cadair Other


Hogg, D.C., Dee, H. 2006. Navigational strategies and surveillance. pp. 73-81. Cadair Other

Quirke, P., Griffin, N.R., Dee, H., Dixon, M.F., Waterhouse, M. 2006. Supporting undergraduate teaching in histopathology with virtual microscopy. Cadair Other


Quirke, P., Lewis, F., Casali, G., Treanor, D., Dee, H., Dixon, M.F., Edward, S. 2005. A searchable online database of virtual slides. Cadair Other Other

Griffin, N.R., Quirke, P., Dixon, M.F., Treanor, D., Waterhouse, M., Dee, H. 2005. An e-learning system using virtual slides. Cadair Other Other

Dee, H., Hogg, D.C. 2005. On the feasibility of using a cognitive model to filter surveillance data. pp. 34-39. Cadair


Hogg, D.C., Dee, H. 2004. Detecting inexplicable behaviour. pp. 477-486. Cadair Other

Hogg, D.C., Dee, H. 2004. Is it Interesting?: Comparing human and machine judgements on the PETS dataset. pp. 49-55. Cadair Other


Dee, H., Tebb, C. 2003. The bigger the better? A new look at virtual learning. pp. 462-466. Cadair


Reffell, P., Dee, H. 1999. ACOM ('Computing for all') : an integrated approach to the teaching and learning of information technology. pp. 195-195. Cadair