Hannah Dee BSc, MA, PhD University of Leeds
Room Number..........:  E44
Phone.......................:   +44 (0)1970 621577
Home Page...............:   Personal
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.
Watching plants grow: A position paper on computer vision and Arabidopsis thaliana. IET Computer Vision 11 (2) pp. 113-121. Cadair2017.
Visual digital humanities: using image data to derive approximate metadata. In (eds) Managing Digital Cultural Objects: Analysis, discovery and retrieval. Facet Publishing, London pp. 89-110.2016.
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. Cadair2014.
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. Cadair2014.
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. 135-147.2013.
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. 558-563.2013.
Local Orientation Patterns for 3D Surface Texture Analysis of Normal Maps: Application to Facial Skin Condition Classification. In (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. 572-581.2013.
Reasoning about shadows in a mobile robot environment. Applied Intelligence 38 (4) pp. 553-565. Cadair2013.
A Novel Image Similarity Measure for Place Recognition in Visual Robotic Navigation. In (eds) Advances in Autonomous Robotics: Lecture Notes in Artificial Intelligence. Lecture Notes in Computer Science, vol. 7429 Springer Nature pp. 414-415.2012.
Building semantic scene models from unconstrained video. Computer Vision and Image Understanding 116 (3) pp. 446-456. Cadair2012.
Coping with Noise in Ultrasound Images: A review. Cadair2012.
Face recognition using the POEM descriptor. Pattern Recognition 45 (7) pp. 2478-2488. Cadair2012.
Improving bioenergy crop yield and quality through manipulating senescence. Aspects of Applied Biology 112 pp. 323-328. Cadair2011.
The Perception and Content of Cast Shadows: An Interdisciplinary Review. Spatial Cognition and Computation 11 (3) pp. 226-253. Cadair2011.
Inspiring women undergraduates. Cadair2010.
Knowledge-based adaptive thresholding from qualitative robot localisation using cast shadows. Spatial temporal dynamics workshop, ECAI, , 16/08/2010. Cadair2010.
Navigational strategies in behaviour modelling. Artificial Intelligence 173 (2) pp. 329-342. Cadair2009.
Qualitative robot localisation using information from cast shadows. pp. 220-225. Cadair2009.
Scene modelling and classification using learned spatial relations. pp. 295-311. Cadair2009.
Why are we still here?: Experiences of successful women in computing. pp. 233-237. Cadair2009.
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. Cadair2008.
Modelling scenes using the activity within them. Springer Lecture notes in Artificial Intelligence (Spatial Cognition VI), , 15/09/2008. pp. 394-408. Cadair2008.
Navigational strategies and surveillance. pp. 73-81. Cadair2006.
On the feasibility of using a cognitive model to filter surveillance data. pp. 34-39. Cadair2005.
Detecting inexplicable behaviour. pp. 477-486. Cadair2004.
Is it Interesting?: Comparing human and machine judgements on the PETS dataset. pp. 49-55. Cadair2004.
The bigger the better? A new look at virtual learning. pp. 462-466. Cadair2003.
ACOM ('Computing for all') : an integrated approach to the teaching and learning of information technology. pp. 195-195. Cadair1999.