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Tony Pridmore

Professor of Computer Science, Faculty of Science

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Biography

Tony Pridmore is Professor of Computer Science at the University of Nottingham, where he leads the Computer Vision Laboratory. He holds a BSc in Computer Science from the University of Warwick and a PhD in Computer Vision from the University of Sheffield. Before returning to Computer Science in 1999 he held academic posts in both Information and Manufacturing Engineering.

Expertise Summary

Much of Tony's current work is directed towards the development of integrated plant phenomics technologies. He is a founder member and serves on the Management Board of the University's Centre for Plant Integrative Biology and a co-Director of the Hounsfield Facility , a unique installation providing automated extraction of 3D structural descriptions of plants from X-ray data. Tony co-Chairs the UK Plant Phenotyping Network and is a co-organiser of the Imaging and Image Analysis Working Group of the International Plant Phenotyping Network. He also serves on the International Scientific Advisory Committee of the University of Saskatchewan's Plant Phenotyping and Imaging Research Centre (P2IRC) and as UK representative on the Management Board of EU COST Action FA1306, Phenotyping at Cell and Plant Scales.

Research Summary

My research interests centre on image analysis and computer vision, particularly 3D reconstruction, visual tracking and their application to bioimage analysis and image-based phenotyping. I am… read more

Selected Publications

  • MICHAEL POUND, ALEXANDRA J BURGESS, MICHAEL H WILSON, JONATHAN A ATKINSON, MARCUS GRIFFITHS, AARON S JACKSON, ADRIAN BULAT, GEORGIOS TZIMIROPOULOS, DARREN M WELLS, ERIK H MURCHIE, TONY P PRIDMORE and ANDREW P FRENCH, 2016. Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping Biorxiv. Available at: <http://biorxiv.org/content/early/2016/05/12/053033>
  • POUND, MICHAEL P.AND FRENCH, ANDREW P.AND FOZARD, JOHN A.AND MURCHIE, ERIK H.AND PRIDMORE, TONY P., 2016. A patch-based approach to 3D plant shoot phenotyping Machine Vision and Applications. 1-13
  • LOBET, GUILLAUME, POUND, MICHAEL P, DIENER, JULIEN, PRADAL, CHRISTOPHE, DRAYE, XAVIER, GODIN, CHRISTOPHE, JAVAUX, MATHIEU, LEITNER, DANIEL, MEUNIER, FELICIEN, NACRY, PHILIPPE, PRIDMORE, TONY P and SCHNEPF, ANDREA, 2015. Root system markup language: toward a unified root architecture description language. Plant physiology. 167(3), 617-27
  • WANG, XIAOMENG, VALSTAR, MICHEL, MARTINEZ, BRAIS, HARIS KHAN, MUHAMMAD and PRIDMORE, TONY, 2015. TRIC-track: Tracking by Regression With Incrementally Learned Cascades In: The IEEE International Conference on Computer Vision (ICCV).

Current Research

My research interests centre on image analysis and computer vision, particularly 3D reconstruction, visual tracking and their application to bioimage analysis and image-based phenotyping. I am particularly interested in

i) model-based, or dynamic, phenotyping, in which camera a sensor placement is determined by measurements already made, and so tuned to the individual plant

ii) the recovery of descriptions of the 3D growth of plant components. For roots this can be achieved via analysis of time-series X-ray micro-computed tomography images

iii) the role of deep machine learning methods in plant phenotyping.

Past Research

Previous work has addressed issues in binocular stereo, knowledge-based image interpretation (particularly the interpretation of images of mechanical and other drawings), camera pose/motion recovery and optic flow in the context of static and mobile robots. All my work has mixed the development of novel methods with their application to real-world problems.

  • POUND, MICHAEL P.AND FRENCH, ANDREW P.AND FOZARD, JOHN A.AND MURCHIE, ERIK H.AND PRIDMORE, TONY P., 2016. A patch-based approach to 3D plant shoot phenotyping Machine Vision and Applications. 1-13
  • MICHAEL POUND, ALEXANDRA J BURGESS, MICHAEL H WILSON, JONATHAN A ATKINSON, MARCUS GRIFFITHS, AARON S JACKSON, ADRIAN BULAT, GEORGIOS TZIMIROPOULOS, DARREN M WELLS, ERIK H MURCHIE, TONY P PRIDMORE and ANDREW P FRENCH, 2016. Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping Biorxiv. Available at: <http://biorxiv.org/content/early/2016/05/12/053033>
  • LOBET, GUILLAUME, POUND, MICHAEL P, DIENER, JULIEN, PRADAL, CHRISTOPHE, DRAYE, XAVIER, GODIN, CHRISTOPHE, JAVAUX, MATHIEU, LEITNER, DANIEL, MEUNIER, FELICIEN, NACRY, PHILIPPE, PRIDMORE, TONY P and SCHNEPF, ANDREA, 2015. Root system markup language: toward a unified root architecture description language. Plant physiology. 167(3), 617-27
  • NGUYEN T and PRIDMORE TP, 2015. Adaptive tracking via multiple appearance models and multiple linear searches In: 10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. (VISAPP 2015).
  • BURGESS, A.J., RETKUTE, R., POUND, M.P., PRESTON, S.P., PRIDMORE, T.P., FOULKES, J., JENSEN, O.E. and MURCHIE, E.H., 2015. High-resolution 3D structural data quantifies the impact of photoinhibition on long term carbon gain in wheat canopies in the field. Plant physiology.
  • MAIRHOFER, STEFAN, STURROCK, CRAIG, WELLS, DARREN M., BENNETT, MALCOLM J., MOONEY, SACHA J. and PRIDMORE, TONY P., 2015. On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images FUNCTIONAL PLANT BIOLOGY. 42(5), 460-470
  • MAIRHOFER S, STURROCK C, BENNETT MJ, MOONEY SJ and PRIDMORE T, 2015. Extracting Multiple Interacting Root Systems using x-ray Micro Computed Tomography The Plant Journal. 84(5), 1034-43
  • MAIRHOFER, STEFANAND JOHNSON, JAMESAND STURROCK, CRAIG J.AND BENNETT, MALCOLM J.AND MOONEY, SACHA J.AND PRIDMORE, TONY P., 2015. Visual tracking for the recovery of multiple interacting plant root systems from X-ray $$backslashupmu $$ $mu$ CT images Machine Vision and Applications. 1-14
  • ROUSSEAU, DAVIDAND DEE, HANNAHAND PRIDMORE, TONY, 2015. Imaging Methods for Phenotyping of Plant Traits Phenomics in Crop Plants: Trends, Options and Limitations. In: KUMAR, JITENDRAAND PRATAP, ADITYAAND KUMAR, SHIV, ed., Springer India. 61-74
  • TRACY, S. R., MOONEY, S. J., STURROCK, C. J., MAIRHOFER, S., AL-TRABOULSI, M., BENNETT, M. J., PRIDMORE, T. P., LYNCH, J. P. and WELLS, D. M., 2015. Laboratory and field techniques for measuring root distribution and architecture. In: ONG, C. K.;BLACK, C. R.;WILSON, J., ONG, C. K, BLACK, C and WILSON, J, eds., Tree-crop interactions: agroforestry in a changing climate 258-277
  • WANG, XIAOMENG, VALSTAR, MICHEL, MARTINEZ, BRAIS, HARIS KHAN, MUHAMMAD and PRIDMORE, TONY, 2015. TRIC-track: Tracking by Regression With Incrementally Learned Cascades In: The IEEE International Conference on Computer Vision (ICCV).
  • LARRIEU AP, FRENCH AP, PRIDMORE TP, BENNETT MJ and WELLS DM, 2014. Time-profiling fluorescent reporters in the Arabidopsis root. Methods in molecular biology (Clifton, N.J.). 1056, 11-17
  • BAND L, WELLS DM, FOZARD JA, GHETIU T, FRENCH AP, POUND MP, WILSON MH, YU L, LI W, HIJAZI H, OH J, PEARCE S, PEREZ-AMADOR MA, YUN J, KRAMER E, ALONSO JM, GODIN G, VERNOUX T, HODGMAN TC, PRIDMORE TP, SWARUP R, KING JR and BENNETT MJ, 2014. Systems Analysis of auxin transport in the Arabidopsis root apex Plant Cell.
  • MIGUEL-PACHECO, GIULIANA G., KALER, JASMEET, REMNANT, JOHN, CHEYNE, LYDIA, ABBOTT, CAROLINE, FRENCH, ANDREW P., PRIDMORE, TONY P. and HUXLEY, JONATHAN N., 2014. Behavioural changes in dairy cows with lameness in an automatic milking system Applied Animal Behaviour Science. 150(0), 1-8
  • GREEN, JONATHAN, PRIDMORE, TONY and BENFORD, STEVE, 2014. Exploring attractions and exhibits with interactive flashlights Personal and Ubiquitous Computing. 18(1), 239-251
  • LARRIEU, ANTOINE P., FRENCH, ANDREW P., PRIDMORE, TONY P., BENNETT, MALCOLM J. and WELLS, DARREN M., 2014. Time-Profiling Fluorescent Reporters in the Arabidopsis Root PLANT CHEMICAL GENOMICS: METHODS AND PROTOCOLS. 1056, 11-17
  • DYSON RJ, VIZCAY-BARRENA G, BAND LR, FERNANDES AN, FRENCH AP, FOZARD JA, HODGMAN TC, KENOBI K, PRIDMORE TP, STOUT M, WELLS DM, WILSON MH, BENNETT MJ and JENSEN OE, 2014. Mechanical modelling quantifies the functional importance of outer tissue layers during root elongation and bending. The New phytologist. (In Press.)
  • ASHRAF M. ABDELRAOUF, COLIN A. HIGGINS, TONY P. PRIDMORE and MAHMOUD I. KHALIL, 2014. Fast Arabic glyph recognizer based on Haar Cascade Classifier In: ICPRAM 2014. 350-357
  • POUND, MICHAEL P., FRENCH, ANDREW P., MURCHIE, ERIK H. and PRIDMORE, TONY P., 2014. Automated Recovery of Three-Dimensional Models of Plant Shoots from Multiple Color Images PLANT PHYSIOLOGY. 166(4), 1688-U801
  • KHAN, MUHAMMAD H., VALSTAR, MICHEL F. and PRIDMORE, TONY P., 2014. A Generalized Search Method for Multiple Competing Hypotheses in Visual Tracking In: Proceedings of the 2014 22Nd International Conference on Pattern Recognition. 2245-2250
  • NGUYEN, TUAN and PRIDMORE, TONY P., 2014. Tracking Using Multiple Linear Searches and Motion Direction Sampling In: Proceedings of the 2014 22Nd International Conference on Pattern Recognition. 2191-2196
  • KHAN MH, VALSTAR MF and PRIDMORE TP, 2014. MTS: A multiple temporal scale tracker handling occlusion and abrupt motion variations In: Proc Asian Computer Vision Conference (ACCV 2014).
  • POUND MP, FRENCH AP, MURCHIE E and PRIDMORE TP, 2014. Surface reconstruction of plant shoots from multiple views In: European Conference on Computer Vision (ECCV) Workshop on Computer Vision Problems in Plant Phenotyping.
  • MAIRHOFER S, STURROCK C, BENNETT M, MOONEY S and PRIDMORE TP, 2014. Visual object tracking for the extraction of multiple interacting plant root systems In: European Conference on Computer Vision (ECCV) Workshop on Computer Vision Problems in Plant Phenotyping.
  • STEFAN MAIRHOFER, SUSAN ZAPPALA, SAOIRSE TRACY, CRAIG STURROCK, MALCOLM BENNETT, SACHA MOONEY and TONY PRIDMORE, 2013. Recovering complete plant root system architectures from soil via X-ray mu-Computed Tomography Plant Methods. 9(8),
  • SUSAN ZAPPALA, STEFAN MAIRHOFER, SAOIRSE TRACY, CRAIG STURROCK, MALCOLM BENNETT, TONY PRIDMORE and SACHA MOONEY, 2013. Quantifying the effect of soil moisture content on segmenting root system architecture in X-ray computed tomography images Plant and Soil. 370(1-2), 35-45
  • MEESE, R., ALI, S., THORNE, E., BENFORD, S., QUINN, A., MORTIER, R., KOLEVA, B., PRIDMORE, T. and BAURLEY, S., 2013. From codes to patterns: designing interactive decoration for tableware In: CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 931-940
  • ZAPPALA S, HELLIWELL J, TRACY S, MAIRHOFER S, STURROCK C J, PRIDMORE T, BENNETT M J and MOONEY S, 2013. Effects of X-ray dose on rhizosphere studies using X-ray computed tomography Plos One. 8(6),
  • POUND, M.P., FRENCH, A.P., ATKINSON, J.A., WELLS, D.M., BENNETT, M.J. and PRIDMORE, T., 2013. RootNav: navigating images of complex root architectures Plant Physiology. 162(4), 1802-1814
  • MURARO D, MELLOR N, POUND MP, HELP H, LUCAS M, CHOPARD J, BYRNE HM, GODIN C, HODGMAN TC, KING JR, PRIDMORE TP, HELARIUTTA Y, BENNETT MJ and BISHOPP A, 2013. Integration of hormonal signaling networks and mobile microRNAs is required for vascular patterning in Arabidopsis roots. Proceedings of the National Academy of Sciences of the United States of America. 111(2), 857-862
  • PÉRET B, MIDDLETON AM, FRENCH AP, LARRIEU A, BISHOPP A, NJO M, WELLS DM, PORCO S, MELLOR N, BAND LR, CASIMIRO I, KLEINE-VEHN J, VANNESTE S, SAIRANEN I, MALLET R, SANDBERG G, LJUNG K, BEECKMAN T, BENKOVA E, FRIML J, KRAMER E, KING JR, DE SMET I, PRIDMORE T, OWEN M and BENNETT MJ, 2013. Sequential induction of auxin efflux and influx carriers regulates lateral root emergence. Molecular systems biology. 9, 699
  • ABDELRAOUF, ASHRAF, HIGGINS, COLIN A., PRIDMORE, TONY P. and KHALIL, MAHMOUD I., 2013. Arabic Corpus Enhancement using a New Lexicon/Stemming Algorithm. In: ICPRAM. 435-440
  • MAIRHOFER, S., ZAPPALA, S., TRACY, S., STURROCK, C., BENNETT, M.J., MOONEY, S. and PRIDMORE, T., 2012. RooTrak: automated recovery of 3D plant root architecture in soil from X-ray micro computed tomography using visual tracking Plant Physiology. 158(2), 561-569
  • BAND. L.R., WELLS, D.M., LARRIEU, A., SUN, J., MIDDLETON, A.M., FRENCH, A.P., BRUNOUD, G., SATO, E.M., WILSON, M.H., PÉRET, B., OLIVA, M., SWARUP, R., SAIRANEN, I., PARRY, G., LJUNG, K., BEECKMAN, T., GARIBALDI, J.M., ESTELLE, M., OWEN, M.R., VISSENBERG, K., HODGMAN, T.C., PRIDMORE, T.P., KING, J.R., VERNOUX, T. and BENNETT, M.J., 2012. Root gravitropism is regulated by a transient lateral auxin gradient controlled by a tipping-point mechanism Proceedings of the National Academy of Sciences of the United States of America. 109(12), 4668-4673
  • WELLS, D.M., FRENCH, A.P., NAEEM, A., ISHAQ, O., TRAINI, R., HIJAZI, H., BENNETT, M.J. and PRIDMORE, T.P., 2012. Recovering the dynamics of root growth and development using novel image acquisition and analysis methods Philosophical Transactions of the Royal Society B: Biological Sciences. 367(1595), 1517-1524
  • POUND, M.P., FRENCH, A.P., WELLS, D.M., BENNETT, M.J. and PRIDMORE, T.P., 2012. CellSeT: novel software to extract and analyze structured networks of plant cells from confocal images Plant Cell. 24(4), 1353-1361
  • BAND L, J. FOZARD, C. GODIN, O. JENSEN, T. PRIDMORE, M. BENNETT and J. KING, 2012. Multiscale systems analysis of root growth and development: modelling beyond the network and cellular scales Plant Cell. 24(10), 3892-906.
  • TONY P. PRIDMORE, ANDREW P. FRENCH and MICHAEL P. POUND, 2012. What lies beneath: underlying assumptions in bioimage analysis Trends in Plant Science. 17(12), 688-692
  • SETHURAMAN, V., FRENCH, A., WELLS, D., KENOBI, K. and PRIDMORE, T., 2012. Tissue-level segmentation and tracking of cells in growing plant roots Machine Vision and Applications. 23(4), 639-658
  • MOONEY, S., PRIDMORE, T., HELLIWELL, J. and BENNETT, M., 2012. Developing X-ray Computed Tomography to non-invasively image 3-D root systems architecture in soil Plant and Soil. 352, 1-22
  • FRENCH A, WELLS D, EVERITT N and PRIDMORE T, 2012. High-Throughput Quantification of Root Growth. In: MANCUSO, STEFANO, ed., Measuring Roots: An Updated Approach
  • FRENCH AP, WILSON MH, KENOBI K, DIETRICH D, VOß U, UBEDA-TOMÁS S, PRIDMORE TP and WELLS DM, 2012. Identifying biological landmarks using a novel cell measuring image analysis tool: Cell-o-Tape. Plant methods. 8, 7
  • LUCAS, M, SWARUP, R, PAPONOV, IA, SWARUP, K, CASIMIRO, I, LAKE, D, PERET, B, ZAPPALA, S, MAIRHOFER, S, WHITWORTH, M, WANG, JH, LJUNG, K, MARCHANT, A, SANDBERG, G, HOLDSWORTH, MJ, PALME, K, PRIDMORE, T, MOONEY, S and BENNETT, MJ, 2011. Short-Root Regulates Primary, Lateral, And Adventitious Root Development In Arabidopsis Plant Physiology. 155(1), 384-398
  • NAEEM, A., FRENCH, A.P., WELLS, D.M. and PRIDMORE, T.P., 2011. High-throughput feature counting and measurement of roots Bioinformatics. 27(9), 1337-1338
  • QIU X, SHI L, PRIDMORE, T, PITIOT A and WANG D, 2011. Atlas-guided correction of brain histology distortion Journal of Pathology Informatics. 2(7),
  • MARSHALL, J., BENFORD, S. and PRIDMORE, T., 2010. Deception and magic in collaborative interaction In: CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 567-576
  • ABDELRAOUF, A., HIGGINS, C.A., PRIDMORE, T. and KHALIL, M., 2010. Building a multi-modal Arabic corpus (MMAC) International Journal on Document Analysis and Recognition. 13(4), 285-302
  • BAYOUMI, SAHAR, PRIDMORE, TONY and KOLEVA, BORIANA, 2010. Exploiting ambient illumination to locate and recognise user behaviour in enclosed environments Personal and Ubiquitous Computing. 14, 335-345
  • DELALANDRE, MATHIEU, VALVENY, ERNEST, PRIDMORE, TONY and KARATZAS, DIMOSTHENIS, 2010. Generation of synthetic documents for performance evaluation of symbol recognition & spotting systems International Journal on Document Analysis and Recognition. 13, 187-207
  • TOMLINSON, M, A. NAEEM, K. JAYAPRAKASAN, R, JAYARAKASAN, T. SIMPSON, T. NEWTON, K. POOLEY, J. HOPKISSON and T. PRIDMORE, 2010. Validation of a novel computer assisted sperm analysis (CASA) system employing multi-target tracking algorithms Fertility and Sterility. 93(6), 1911-1920
  • GREEN J, FRENCH A, BRIGNELL C, HUXLEY J and PRIDMORE T, 2010. Tools and Resources for Cow Behaviour Monitoring In: International Conference on Visual Observation and Analysis of Animal and Insect Behavior.
  • EDMANS, J., GLADMAN, J., HILTON, D., WALKER, M., SUNDERLAND, A., COBB, S., PRIDMORE, T. and THOMAS, S., 2009. Clinical evaluation of a non-immersive virtual environment in stroke rehabilitation Clinical Rehabilitation. 23(2), 106-116
  • FRENCH, A., UBEDA-TOMÁS, S., HOLMAN, T.J., BENNETT, M.J. and PRIDMORE, T., 2009. High throughput quantification of root growth using a novel image analysis tool Plant Physiology. 150(4), 1784-1795
  • GUO, SIYU, PRIDMORE, TONY, KONG, YAGUANG and ZHANG, XUFANG, 2009. An improved Hough transform voting scheme utilizing surround suppression Pattern Recogn. Lett.. 30(13), 1241-1252
  • AMALIA CIFOR, TONY PRIDMORE and ALAIN PITIOT, 2009. A.: Smooth 3-D reconstruction for 2-D histological images In: In: IPMI. Volume 5636 of LNCS. 350-361
  • N. DADASHI, A. STEDMON and T. PRIDMORE, 2009. Automatic Components of Integrated CCTV Surveillance Systems: Functionality, Accuracy and Confidence Advanced Video and Signal Based Surveillance, IEEE Conference on. 0, 376-381
  • QIU X, PRIDMORE T and PITIOT A, 2009. Correcting Distorted Histology Slices for 3D Reconstruction In: Medical Image Analysis and Understanding.
  • CHANDESA T, PRIDMORE T and BARGIELA A, 2009. Detecting occlusion and camouflage during visual tracking In: Proc. Int. Conf. on Signal and Image Processing Applications, ICSIPA09.
  • SETHURAMAN V, TAYLOR S, FRENCH A, WELLS D and PRIDMORE T, 2009. Segmentation and tracking of confocal images of Arabidopsis thaliana root cells using automatically-initialised network snakes In: 3rd International Conference on Bioinformatics and Biomedical Engineering.
  • FRENCH, A.P., MILLS, S., SWARUP, R., BENNETT, M.J. and PRIDMORE, T.P., 2008. Colocalization of fluorescent markers in confocal microscope images of plant cells Nature Protocols. 3(4), 619-628
  • MARSHALL, J., PRIDMORE, T.P., POUND, M., BENFORD, S. and KOLEVA, B., 2008. Pressing the flesh: sensing multiple touch and finger pressure on arbitrary surfaces In: Pervasive computing: 6th International Conference, Pervasive 2008, Sydney, Australia, May 19-22, 2008: Proceedings (Lecture notes in computer science, 5013). 38-55
  • ANDREW FRENCH, MALCOLM BENNETT, CAROLINE HOWELLS, DHAVAL PATEL and TONY P. PRIDMORE, 2008. A Probabilistic Tracking Approach to Root Measurement in Images - Particle Filter Tracking is used to Measure Roots, via a Probabilistic Graph In: BIOSIGNALS (1)'08. 108-115
  • BRUNDELL, P., KNIGHT, D., TENNENT, P., NAEEM, A., ADOLPHS, S., AINSWORTH, S., CARTER, R., CLARKE, D., CRABTREE, A. and GREENHALGH, C., 2008. The experience of using the digital replay system for Social Science research In: 4th International e-Social Science Conference.
  • MARSHALL J, BENFORD S and PRIDMORE T, 2008. Eye-Balls: Cheap and Cheerful Interactive Performance Leonardo. 41(3), 304-305
  • COBB S, A. MALLETT, T. PRIDMORE and S. BENFORD, 2007. Interactive flashlights in special needs education Digital Creativity. 18(2), 69-78
  • NAEEM, A., PRIDMORE, T and MILLS, S., 2007. Managing particle spread via hybrid particle filter/kernel mean shift tracking In: British Machine Vision Conference 2007, University of Warwick, UK, 10-13 September, 2007.
  • FRENCH, A, NAEEM, A. DRYDEN, I and T. PRIDMORE, 2007. Using Social Effects to Guide Tracking in Complex Scenes In: IEEE Int. Conference on Advanced Video and Signal-based Surveillance. 217--217
  • MARSHALL, J, BENFORD, S and T. PRIDMORE, 2007. Eye-Balls: Juggling with the Virtual In: Creativity and Cognition.
  • DELALANDRE, M, PRIDMORE T, VALVENY, E, LOCTEAU, H and TRUPIN, H, 2007. Building Synthetic Graphical Documents for Performance Evaluation In: Seventh IAPR International Workshop on Graphics Recognition - GREC 2007. LNCS vol 5046, pp 288-298, (2008).
  • ADOLPHS ET. AL., 2007. Integrating Cyberinfrastructure into Existing eSocial Science Research In: Proc. 3rd International Conference on E-Social Science..
  • POUND M, NAEEM A, FRENCH A and PRIDMORE T, 2007. Quantitative and Qualitative Evaluation of Visual Tracking Algorithms using Statistical Tests In: 10th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance.
  • EDMANS, J.A., GLADMAN, J.R.F., COBB, S., SUNDERLAND, A., PRIDMORE, T., HILTON, D. and WALKER, M.F., 2006. Validity of a virtual environment for stroke rehabilitation Stroke. 37(11), 2770-2775
  • REEVES, S., PRIDMORE, T., CRABTREE, A., GREEN, J., BENFORD, S. and O'MALLEY, C., 2006. The spatial character of sensor technology In: Proceedings of the 6th ACM Conference on Designing Interactive Systems. 31-40
  • KNIGHT, D, BAYOUMI, S, ADOLPHS S,, MILLS, S, PRIDMORE, T and CARTER R, 2006. Beyond the text: building and analysing multi-modal corpora In: Proc. 2nd International Conference on E-Social Science.
  • NAEEM, A, MILLS, S and PRIDMORE, T, 2006. Structured Combination of Particle Filter and Kernel Mean-Shift Tracking In: 21st International Conference Image and Vision Computing New Zealand.
  • COBB S, A. MALLETT, T. PRIDMORE and S. BENFORD, 2006. Interactive flashlights in special needs education In: ArtAbilitation.
  • BENFORD, S., SCHNÄDELBACH, H., KOLEVA, B., ANASTASI, R., GREENHALGH, C., RODDEN, T., GREEN, J., GHALI, A., PRIDMORE, T., GAVER, B., BOUCHER, A., WALKER, B., PENNINGTON, S., SCHMIDT, A., GELLERSON, H. and STEED, A., 2005. Expected, sensed, and desired: a framework for designing sensing-based interaction ACM Transactions on Computer-Human Interaction. 12(1), 3-30
  • BUCHA, V., ABLAMEYKO, S. and PRIDMORE, T.P., 2005. Semi-automatic extraction and vectorisation of multicoloured cartographic objects In: Proc. VIE 2005.
  • PRIDMORE, T.P., ABLAMEYKO, S. and BUCHA, V., 2005. What Should the User Do? Inference Structures and Line Drawing Interpretation In: Proc ICDAR 2005.
  • FROST,A., FRENCH,A., TILLETT,R., PRIDMORE,T.P. and WELCH,T.R., 2004. A vision guided robot for tracking a live, loosely constrained pig Computers and Electronics in Agriculture,. 44(2), 93-106
  • FRENCH,A., PRIDMORE,T.P. and MILLS,S., 2004. Condensation Tracking Through a Hough Space In: Proceedings of the 17th International Conference on Pattern Recognition, 2004 (ICPR 2004). 195- 198
  • GREEN, J., PRIDMORE, T.P., BENFORD, S.D. and GHALI, A., 2004. Location and recognition of flashlight projections for visual interfaces In: Proceedings of the 17th International Conference on Pattern Recognition.
  • PRIDMORE, T.P., HILTON, D., GREEN, J., EASTGATE, R. and COBB, S., 2004. Mixed reality environments in stroke rehabilitation: interfaces across the real/virtual divide In: Proceedings of International Conference on Virtual Reality, Disability and Associated Technologies, Oxford, UK, 20-22 September.. 11-17
  • GHALI, A., BENFORD, S.D., BAYOUMI, S., GREEN, J. and PRIDMORE, T., 2003. Visually-tracked flashlights as interaction devices In: INTERACT 2003 - Bringing the bits togETHer. Ninth IFIP TC13 International Conference on Human-Interaction, Zurich, Switzerland, 1-5 September 2003. 487-494
  • MILLS, S., PRIDMORE, T.P. and HILLS, M., 2003. Tracking in a Hough Space with the Extended Kalman Filter In: Proceedings of the British Machine Vision Conference.
  • GHALI,A., PRIDMORE,T.P., JONES,I.A., WANG,P. and BECKER,A.A., 2003. Boundary Extraction and Polarimetry in Translucent Specimens for Photoelastic Stress Analysis In: SPIE. 115-122
  • GHALI, A., BAYOMI, S., GREEN, J., PRIDMORE, T.P. and BENFORD, S.D., 2003. Vision-mediated interaction with the Nottingham Caves In: Proceedings SPIE Conference on Computational Imaging.
  • FRENCH, A., PRIDMORE, T.P., TILLETT, R. and FROST, A., 2003. An Image Analysis System to Guide a Sensor Placement Robot onto a Feeding Pig In: Proceedings of the Irish Machine Vision Conference.
  • MILLS, S. and PRIDMORE, T.P., 2003. Texture Unmapping - Combining Parametric and Non-Parametric Techniques for Image Reconstruction In: Proceedings of the Irish Machine Vison and Image Processing Conference.
  • GHALI, A., CUNNINGHAM, A. and PRIDMORE, T.P., 2003. Object and Event Recognition for Stroke Rehabilitation In: Proceedings of Visual Communication and Image Processing.
  • HILLS, M., PRIDMORE, T.P. and MILLS, S., 2003. Object Tracking Through a Hough Space In: Proceedings of Visual Information Engineering.
  • JONES A, WANG P, BECKER A, HYDE T, PRIDMORE T and GHALI A, 2003. A unified approach to digital photoelasticity incorporating image filtering and inverse methods Materials Science Forum. 440-441, 93-100
  • HILTON, D., COBB, S., PRIDMORE, T.P. and GLADMAN, J., 2002. Virtual reality and stroke rehabilitation: a tangible Interface to an every day task In: Fourth International Conference on Disability, Virtual Reality and Associated Technologies. 63-69
  • GREEN, J., SCHNADELBACH, H., KOLEVA, B., BENFORD, S.D., PRIDMORE, T.P., MEDINA, K., HARRIS, E. and SMITH, H., 2002. Camping in the digital wilderness: tents and flashlights as interfaces to virtual worlds In: Proceedings CHI 2002.
  • PRIDMORE T, 2002. Interpreting images of small-bore urban sewers In: Proc Third International Conference on Digital Information Processing And Control In Extreme situations.
  • STANTON, D., BAYON, V., NEALE, H., GHALI, A., BENFORD, S., COBB, S., INGRAM, R., O'MALLEY, C., WILSON, J. and PRIDMORE, T., 2001. Classroom collaboration in the design of tangible interfaces for storytelling In: Proceedings of the SIGCHI conference on Human Factors in Computing Systems, Seattle, United States, 31 March - 5 April.. 482-489
  • PRIDMORE, T.P., DARWISH, A. and ELLIMAN, D.G., 2001. Interpreting Line Drawing Images: A Knowledge-Level Perspective In: Fourth IAPR International Workshop on Graphics Recognition.
  • COBB, S., TYMMS, S., PRIDMORE, T.P. and WEBSTER, D., 2001. Interfacing Tangible Input Devices to a 3D Virtual Environment for Users In: Proceedings of the HCI International 2001, 9th International Conference on HCI Symposium on Human In.
  • DARWISH, A., PRIDMORE, T.P. and ELLIMAN, D.G., 2001. Interpreting Aerial Images: A Knowledge-Level Analysis In: Proceedings ES2001.
  • PRIDMORE, T.P., 2001. Thresholding Images of Line Drawings with Hysteresis In: Fourth IAPR International Workshop on Graphics Recognition.
  • COOPER, D., PRIDMORE, T. P. and TAYLOR, N., 2001. Assessment of a camera pose algorithm using images of brick sewers Automation in Construction. VOL 10(NUMBER 4), 527-540
  • HILTON, D., PRIDMORE, T.P. and COBB, S., 2000. Virtual reality and stroke assessment: therapists' perspectives In: Proc. International Conference on Disability, Virtual Reality and Associated Technology, 23-25 September.. 181-188
  • PRIDMORE, T.P. and ABLAMEYKO, S., 2000. Machine Interpretation of Line Drawing Images Springer Verlag, London, UK.
  • PRIDMORE, T.P. and FU, S., 2000. Optical flow under a moving light source, In: Proc. First International Conference on Image and Graphics, ICIG2000.
  • PRIDMORE, T.P., BROADHURST, S. and TAYLOR, N., 2000. Detection and classification of sewer pipe junctions using reflective photometric stereo In: Proc. IAPR Workshop on Machine Vision Applications, MVA2000.
  • PRIDMORE, T.P. and ELLIMAN, D., eds., 1999. Proceedings of the 10th British Machine Vision Conference: BMVC99
  • COOPER, D., PRIDMORE, T. P. and TAYLOR, N., 1998. Towards the recovery of extrinsic camera parameters from video records of sewer surveys Machine Vision and Applications. VOL 11(NUMBER 2), 53-63
  • TAYLOR, N., PRIDMORE, T. P. and FU, S., 1998. Automatic visual detection of lateral junctions in sewers Proceedings of the Institution of Civil Engineers. Water Maritime and Energy. VOL 130(NUMBER 2), 56-69
  • GREEN, R.G., RAHIM, A., EVANS, K., DICKIN, F., NAYLOR, B. and PRIDMORE, T.P., 1998. Concentration profiles in a pneumatic conveyor by optical tomography measurement Powder Technology. 95, 49-54
  • FU, S., WU, Y., XING, W. and PRIDMORE, T.P., 1998. Quantitative analysis of velocity distribution from schlieren images In: 8th International Symposium on Flow Visualisation.
  • RAHIM, A., GREEN, R., HORBURY, N., DICKIN, F., NAYLOR, B. and PRIDMORE, T.P., 1997. Optical fibre sensors for process tomography : Concentration measurements and scattering effect In: SIRIM.
  • DRAPER, R. and PRIDMORE, T.P., 1997. Reflective Photometric Stereo In: 6th IEE International Conference on Image Processing and its Applications. 409-413
  • HUANG, M., FU, S. and PRIDMORE, T.P., 1997. Interpreting images of architectural drawings for building cost estimation, In: 6th IEE International Conference on Image Processing and its Applications. 126-130
  • PRIDMORE, T. P., COOPER, D. and TAYLOR, N., 1997. Estimating camera orientation from vanishing point location during sewer surveys Automation in Construction. VOL 5(NUMBER 5), 407-420
  • PRIDMORE, T. P. and ABLAMEYKO, S. V., 1996. A Generalized Distance Transform for Line Patterns Pattern Recognition and Image Analysis. VOL 6(NUMBER 3), 545-554
  • ABDUL RAHIM, R., GREEN, R. G., HORBURY, N., DICKIN, F. J., NAYLOR, B. D. and PRIDMORE, T. P., 1996. Further development of a tomographic imaging system using optical fibres for pneumatic conveyors Measurement Science and Technology. VOL 7(NUMBER 3), 419-422
  • PRIDMORE, T.P. and FU, S., 1996. Image flow field detection In: SPIE International Conference on Signal Processing.
  • BROADHURST, S. J., COCKERHAM, G., TAYLOR, N. and PRIDMORE, T., 1996. Automatic task modelling for sewer studies Automation in Construction. VOL 5(NUMBER 1), 61-71
  • FU, S., PRIDMORE, T.P., TAYLOR, N. and COOPER, D., 1995. Determination of sewer structure using a moving camera In: Proc 12th International Symposium on Automation and Robotics in Construction.
  • PRIDMORE, T.P., TAYLOR, N. and COCKERHAM, G., 1995. Visually competent, task-specific construction robots (invited paper) In: Proc 12th International Symposium on Automation and Robotics in Construction.
  • RAHIM, A., GREEN, R., HORBURY, N., DICKIN, F., NAYLOR, B. and PRIDMORE, T.P., 1995. An investigation into the use of optical fibres to produce on-line particle size information and tomographic images for hydraulic processes In: ECAPT95. 134-138
  • GREEN, R., HORBURY, N., RAHIM, A., DICKIN, F., NAYLOR, B. and PRIDMORE, T.P., 1995. Optical fibre sensors for process tomography Measurement Science and Technology. 6, 1699-1704
  • BROADHURST, S., PRIDMORE, T.P. and TAYLOR, N., 1995. 3D description of sewer laterals via reflective photometric stereo In: Proc 12th International Symposium on Automation and Robotics in Construction.
  • DRAPER, R., SOAR, K., TAYLOR, N. and PRIDMORE, T.P., 1995. Computer vision for masonry vault testing In: 1st International Conference on Arch Bridges.
  • RAHIM, A., GREEN, R., HORBURY, N., DICKIN, F., NAYLOR, B. and PRIDMORE, T.P., 1995. Initial work on tomographic imaging using optical fibres for pneumatic conveyors In: ECAPT95. 127-133
  • BROADHURST, S., COCKERHAM, G., TAYLOR, N. and PRIDMORE, T.P., 1995. Robotic kinematic simulation for sewer renovation In: Proc 12th International Symposium on Automation and Robotics in Construction.
  • PRIDMORE, T. P. and HALES, W. M. M., 1995. Understanding images: an approach to the university teaching of computer vision Engineering Science and Education Journal. VOL 4(NUMBER 4), 161
  • JOSEPH, S.H. and PRIDMORE, T.P., 1995. Knowledge-directed interpretation of mechanical engineering drawings. In: Document Image Analysis IEEE Publications, Los Alamitos, CA, USA.
  • ABLAMEYKO, S., JOSEPH, S.H. and PRIDMORE, T.P., 1995. Knowledge-based interpretation of engineering drawings and maps In: IAPR International Workshop on Graphics Recognition.
  • PRIDMORE, T.P. and ABLAMEYKO, S., 1995. The distance transform for line patterns: generalisation and development In: Proc 6th CAIP.
  • ABDUL RAHIM A, HORBURY N, DICKIN F, GREEN R, NAYLOR B and PRIDMORE T, 1995. Optical fibre sensor for process tomography use on pneumatic conveyors In: IEE Colloquium (Digest) 194. 1-6
  • BROADHURST, S., PRIDMORE, T.P. and TAYLOR, N., 1994. Visual Sensing for Feature Identification in Sewers In: Proc 11th International Symposium on Automation and Robotics in Construction.
  • PRIDMORE, T.P., 1993. Finding axes of symmetry in a r,q parameter space In: IEE Colloquium on Hough Transforms.
  • PRIDMORE, T.P., 1993. Approaches to the University Teaching of Image analysis and Understanding. In: IEE Colloquium on The Teaching of Digital Image Processing in Universities.
  • JOSEPH, S.H. and PRIDMORE, T.P., 1992. Knowledge-directed interpretation of mechanical engineering drawings IEEE Transactions on Pattern Analysis and Machine Intelligence. 14(9), 928-940
  • PORRILL, J, S.B. POLLARD, T.P. PRIDMORE,, J. BOWEN, J.E.W. MAYHEW and J.P. FRISBY, 1991. TINA: a 3D vision system for pick and place. In: 3D Model Recognition from Stereoscopic Cues MIT Press, Cambridge, Mass..
  • PRIDMORE, T.P., PORRILL, J. and MAYHEW, J., 1991. Segmentation and description of binocularly viewed contours. In: 3D Model Recognition from Stereoscopic Cues, MIT Press, Cambridge, Mass..
  • JOSEPH, S.H. and PRIDMORE, T.P., 1990. A system for the interpretation of images of graphics In: IAPR Workshop on Syntactic and Structural Pattern Recognition.
  • JOSEPH, S.H., PRIDMORE, T.P. and DUNN, M., 1990. Towards the automatic interpretation of mechanical engineering drawings. In: Computer Vision and Image Processing Academic Press, Orlando, Florida, USA.
  • JOSEPH, S.H. and PRIDMORE, T.P, 1990. Interpreting Engineering Drawings: A Knowledge-based approach Bild und Ton. 42(12), 369-375
  • PRIDMORE, T.P. and JOSEPH, S.H., 1990. Using schemata to interpret images of mechanical engineering drawings In: Proc. 9th European Conference on Artificial Intelligence.
  • PRIDMORE, T.P., MAYHEW, J. and FRISBY, J., 1990. Exploiting image plane measurements in the interpretation of edge-based binocular disparity Computer Vision, Graphics and Image Processing. 1-20
  • PRIDMORE, T.P. and JOSEPH, S.H., 1990. Integrating visual search with visual memory in a knowledge-directed image interpretation system In: Proc. 1990 British Machine Vision Conference, BMVC-90.
  • POLLARD, S.B., PRIDMORE, T.P., PORRILL, J., BOWEN, J., MAYHEW, J. and FRISBY, J., 1989. Geometrical modelling from multiple stereo views International Journal of Robotics Research. 8(4), 3-32
  • POLLARD, S.B., PORRILL, J., PRIDMORE, T.P., MAYHEW, J. and FRISBY, J., 1988. A 3D vision system for robotics In: Proc. IEE Specialist Seminar, The Design and Application of Parallel Digital Processors. 43-47
  • PORRILL, J., POLLARD, S.B., PRIDMORE, T.P., BOWEN, J., MAYHEW, J. and FRISBY, J., 1988. TINA: a 3D vision system for pick and place Image and Vision Computing. 6(2), 91-99
  • JOSEPH, S.H., PRIDMORE, T.P. and DUNN, M., 1988. Grammar-driven interpretation of engineering drawings In: Proc. 4th Alvey Vision Conference. 237-242
  • PRIDMORE, T.P., MAYHEW, J. and FRISBY, J., 1987. Segmentation and description of binocularly viewed contours Image and Vision Computing. 5(2), 132-138
  • POLLARD, S.B., PRIDMORE, T.P., PORRILL, J., MAYHEW, J. and FRISBY, J., 1987. Components of a stereo vision system In: Proc. 4th International Symposium of Robotics Research. 229-236
  • PORRILL, J., POLLARD, S.B., PRIDMORE, T.P., BOWEN, J., MAYHEW, J. and FRISBY, J., 1987. TINA: the sheffield AIVRU vision system In: Proc. 9th International Joint Conference on Artificial Intelligence,. 1138-1144
  • PORRILL J, POLLARD S, PRIDMORE T, BOWEN J, MAYHEW J and FRISBY J, 1987. TINA: a 3D vision system for pick and place In: Proc. 3rd Alvey Vision Conference. 65-72
  • PRIDMORE T, PORRILL J and MAYHEW J, 1986. Segmentation and description of binocularly viewed contours In: Proc. 2nd Alvey Vision Conference.
  • PRIDMORE, T.P., MAYHEW, J. and FRISBY, J., 1985. Rule-based grouping of edge-based disparity data In: Proc. 1st Alvey Vision Conference.

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