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Cambridge Public Health

 

Non-invasive lung function monitoring: robuts BCG measurements for long term healthcare; analysis of large datasets.
www-sigproc.eng.cam.ac.uk/~jl/

Publications from Elements

Book chapters

2024

  • Pepe, A., Lasenby, J. and Chacón, P., 2024. Geometric Algebra Models of Proteins for Three-Dimensional Structure Prediction
    Doi: 10.1007/978-3-031-34031-4_6
  • Wieser, E. and Lasenby, J., 2024. Computing with the Universal Properties of the Clifford Algebra and the Even Subalgebra
    Doi: 10.1007/978-3-031-34031-4_17
  • Pepe, A., Lasenby, J. and Chacon, P., 2024. Geometric Algebra Models of Proteins for Three-Dimensional Structure Prediction: A Detailed Analysis
    Doi: 10.1007/978-3-031-55985-3_6
  • 2023

  • Pepe, A., Lasenby, J. and Chacón, P., 2023. Using a Graph Transformer Network to Predict 3D Coordinates of Proteins via Geometric Algebra Modelling
    Doi: http://doi.org/10.1007/978-3-031-30923-6_7
  • Matsantonis, C. and Lasenby, J., 2023. A Geometric Algebra Solution to the 3D Registration Problem
    Doi: http://doi.org/10.1007/978-3-031-43360-3_25
  • 2021 (No publication date)

  • Wareham, R. and Lasenby, J., 2021 (No publication date). Mesh Vertex Pose and Position Interpolation Using Geometric Algebra
    Doi: 10.1007/978-3-540-70517-8_13
  • Cameron, J. and Lasenby, J., 2021 (No publication date). Estimating Human Skeleton Parameters and Configuration in Real-Time from Markered Optical Motion Capture
    Doi: 10.1007/978-3-540-70517-8_10
  • Wareham, R. and Lasenby, J., 2021 (No publication date). Bone Glow: An Improved Method for the Assignment of Weights for Mesh Deformation
    Doi: 10.1007/978-3-540-70517-8_7
  • Aristidou, A., Cameron, J. and Lasenby, J., 2021 (No publication date). Predicting Missing Markers to Drive Real-Time Centre of Rotation Estimation
    Doi: 10.1007/978-3-540-70517-8_23
  • 2020 (Published online)

  • Hadfield, H., Wei, L. and Lasenby, J., 2020 (Published online). The Forward and Inverse Kinematics of a Delta Robot
    Doi: http://doi.org/10.1007/978-3-030-61864-3_38
  • Hadfield, H. and Lasenby, J., 2020 (Published online). Constrained Dynamics in Conformal and Projective Geometric Algebra
    Doi: http://doi.org/10.1007/978-3-030-61864-3_39
  • 2020

  • Grafton, A. and Lasenby, J., 2020. Surface Fitting Using Dual Quaternion Control Points with Applications in Human Respiratory Modelling
    Doi: http://doi.org/10.1007/978-3-030-61864-3_36
  • 2008

  • Lee, C-H. and Lasenby, J., 2008. An Efficient Wavelet-Based Framework for Articulated Human Motion Compression
    Doi: 10.1007/978-3-540-89639-5_8
  • Galasso, F. and Lasenby, J., 2008. Shape from Texture Via Fourier Analysis
    Doi: 10.1007/978-3-540-89639-5_77
  • 2002

  • Doran, C., Lasenby, AN. and Lasenby, J., 2002. Conformal geometry, Euclidean space and geometric algebra
  • 2001

  • Lasenby, AN. and Lasenby, J., 2001. Applications of geometric algebra in physics and links with engineering
  • Lasenby, J. and Stevenson, AXS., 2001. The geometry and algebra of computer vision
  • Lasenby, J. and Stevenson, AXS., 2001. Using geometric algebra for optical motion capture
  • Perwass, CUB. and Lasenby, J., 2001. 3D-Reconstruction from vanishing points
  • Perwass, CUB. and Lasenby, J., 2001. A unified description of multiple view geometry
  • Lasenby, J. and Bayro Corrochano, E., 2001. Analysis and computation of projective invariants from multiple views in the geometric algebra framework
  • Journal articles

    2024

  • Pepe, A., Lasenby, J. and Chacón, P., 2024. Learning rotations Mathematical Methods in the Applied Sciences, v. 47
    Doi: 10.1002/mma.8698
  • Lasenby, A., Lasenby, J. and Matsantonis, C., 2024. Reconstructing a rotor from initial and final frames using characteristic multivectors: With applications in orthogonal transformations Mathematical Methods in the Applied Sciences, v. 47
    Doi: 10.1002/mma.8811
  • 2023

  • Li, D. and Lasenby, J., 2023. Mitigating urban motorway congestion and emissions via active traffic management Research in Transportation Business and Management, v. 48
    Doi: 10.1016/j.rtbm.2022.100789
  • Pepe, A. and Lasenby, J., 2023. Modeling orientational features via geometric algebra for 3D protein coordinates prediction Mathematical Methods in the Applied Sciences,
    Doi: 10.1002/mma.9608
  • 2022

  • Zaplana, I., Hadfield, H. and Lasenby, J., 2022. Singularities of Serial Robots: Identification and Distance Computation Using Geometric Algebra Mathematics, v. 10
    Doi: http://doi.org/10.3390/math10122068
  • Zaplana, I., Hadfield, H. and Lasenby, J., 2022. Closed-form solutions for the inverse kinematics of serial robots using conformal geometric algebra Mechanism and Machine Theory, v. 173
    Doi: http://doi.org/10.1016/j.mechmachtheory.2022.104835
  • Li, D. and Lasenby, J., 2022. Spatiotemporal Attention-Based Graph Convolution Network for Segment-Level Traffic Prediction IEEE Transactions on Intelligent Transportation Systems, v. 23
    Doi: http://doi.org/10.1109/TITS.2021.3078187
  • 2021 (Accepted for publication)

  • Gregory, A., Agarwal, A. and Lasenby, J., 2021 (Accepted for publication). An Experimental Investigation to Model Wheezing in Lungs Royal Society Open Science, v. 8
    Doi: http://doi.org/10.1098/rsos.201951
  • 2021

  • Vigueras-Guillén, JP., Lasenby, J. and Seeliger, F., 2021. Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images
  • Vigueras-Guillén, JP., Lasenby, J. and Seeliger, F., 2021. Redesigning Fully Convolutional DenseUNets for Large Histopathology Images
  • Cao, YH., Wu, J., Wang, H. and Lasenby, J., 2021. Neural random subspace Pattern Recognition, v. 112
    Doi: http://doi.org/10.1016/j.patcog.2020.107801
  • Liu, S., Wang, H., Liu, W., Lasenby, J., Guo, H. and Tang, J., 2021. Pre-training Molecular Graph Representation with 3D Geometry
  • Wang, H., Liu, Q., Yue, X., Lasenby, J. and Kusner, MJ., 2021. Unsupervised Point Cloud Pre-training via Occlusion Completion Proceedings of the IEEE International Conference on Computer Vision,
    Doi: http://doi.org/10.1109/ICCV48922.2021.00964
  • Bai, X., Wang, H., Ma, L., Xu, Y., Gan, J., Fan, Z., Yang, F., Ma, K., Yang, J., Bai, S., Shu, C., Zou, X., Huang, R., Zhang, C., Liu, X., Tu, D., Xu, C., Zhang, W., Wang, X., Chen, A., Zeng, Y., Yang, D., Wang, M-W., Holalkere, N., Halin, NJ., Kamel, IR., Wu, J., Peng, X., Wang, X., Shao, J., Mongkolwat, P., Zhang, J., Liu, W., Roberts, M., Teng, Z., Beer, L., Escudero Sanchez, L., Sala, E., Rubin, D., Weller, A., Lasenby, J., Zheng, C., Wang, J., Li, Z., Schönlieb, C-B. and Xia, T., 2021. Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. ArXiv,
  • Moroz, M., Choy, M., Lee, CW., Hadfield, H., Lasenby, J., Stone, T. and Bance, M., 2021. Evaluating the Epley Canalolith Repositioning Procedure With and Without a Visual Assistive Device. Otol Neurotol, v. 42
    Doi: http://doi.org/10.1097/MAO.0000000000003017
  • Paletta, Q., Hu, A., Arbod, G., Blanc, P. and Lasenby, J., 2021. SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting
  • Hadfield, H., Achawal, S., Lasenby, J., Lasenby, A. and Young, B., 2021. Exploring Novel Surface Representations via an Experimental Ray-Tracer in CGA Advances in Applied Clifford Algebras, v. 31
    Doi: http://doi.org/10.1007/s00006-021-01117-8
  • Paletta, Q., Hu, A., Arbod, G. and Lasenby, J., 2021. ECLIPSE : Envisioning CLoud Induced Perturbations in Solar Energy
  • 2020

  • Paletta, Q. and Lasenby, J., 2020. Convolutional Neural Networks applied to sky images for short-term solar irradiance forecasting
  • Paletta, Q. and Lasenby, J., 2020. A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications
  • 2019 (Accepted for publication)

  • Konstantinou, E., Lasenby, J. and Brilakis, I., 2019 (Accepted for publication). Adaptive Computer Vision-Based 2D Tracking of Workers in Complex Environments Automation in Construction,
  • 2019

  • Lasenby, J., Hadfield, H. and Lasenby, A., 2019. Calculating the Rotor Between Conformal Objects Advances in Applied Clifford Algebras, v. 29
    Doi: http://doi.org/10.1007/s00006-019-1014-8
  • Hadfield, H., Lasenby, J., Ramage, M. and Doran, C., 2019. REFORM: Rotor Estimation From Object Resampling and Matching Advances in Applied Clifford Algebras, v. 29
    Doi: http://doi.org/10.1007/s00006-019-0985-9
  • Hadfield, H. and Lasenby, J., 2019. Direct Linear Interpolation of Geometric Objects in Conformal Geometric Algebra Advances in Applied Clifford Algebras, v. 29
    Doi: http://doi.org/10.1007/s00006-019-1003-y
  • 2018

  • Aristidou, A., Lasenby, J., Chrysanthou, Y. and Shamir, A., 2018. Inverse Kinematics Techniques in Computer Graphics: A Survey Computer Graphics Forum, v. 37
    Doi: http://doi.org/10.1111/cgf.13310
  • Westhuizen, JVD. and Lasenby, J., 2018. The unreasonable effectiveness of the forget gate
  • 2017 (Accepted for publication)

  • Gregory, AL., Agarwal, A. and Lasenby, J., 2017 (Accepted for publication). Using geometric algebra to represent curvature in shell theory with applications to Starling resistors Royal Society Open Science,
  • 2017

  • Westhuizen, JVD. and Lasenby, J., 2017. Bayesian LSTMs in medicine
  • Gregory, A., Lasenby, J. and Agarwal, A., 2017. The elastic theory of shells using geometric algebra Royal Society Open Science, v. 4
    Doi: http://doi.org/10.1098/rsos.170065
  • Bonner, O., Beardsall, K., Crilly, N. and Lasenby, J., 2017. ‘There were more wires than him’: The potential for wireless patient monitoring in neonatal intensive care BMJ Innovations, v. 3
    Doi: http://doi.org/10.1136/bmjinnov-2016-000145
  • Bennett, S., Lasenby, J. and Purnell, T., 2017. Virtual tracking shots for sports analysis Electronic Imaging, Computer Vision Applications in Sports, v. 2017
    Doi: http://doi.org/10.2352/ISSN.2470-1173.2017.16.CVAS-342
  • Carey, P., Bennett, S., Lasenby, J. and Purnell, T., 2017. Aerodynamic analysis via foreground segmentation Electronic Imaging, Computer Vision Applications in Sports, v. 2017
    Doi: http://doi.org/10.2352/ISSN.2470-1173.2017.16.CVAS-343
  • Westhuizen, JVD. and Lasenby, J., 2017. Techniques for visualizing LSTMs applied to electrocardiograms
  • 2016

  • Jones, JG., Lockwood, GG., Fung, N., Lasenby, J., Ross-Russell, RI., Quine, D. and Stenson, BJ., 2016. Influence of pulmonary factors on pulse oximeter saturation in preterm infants. Arch Dis Child Fetal Neonatal Ed, v. 101
    Doi: http://doi.org/10.1136/archdischild-2015-308675
  • Aristidou, A., Chrysanthou, Y. and Lasenby, J., 2016. Extending FABRIK with model constraints Computer Animation and Virtual Worlds, v. 27
    Doi: http://doi.org/10.1002/cav.1630
  • Burke, M. and Lasenby, J., 2016. Estimating missing marker positions using low dimensional Kalman smoothing. J Biomech, v. 49
    Doi: http://doi.org/10.1016/j.jbiomech.2016.04.016
  • Zou, L., Lasenby, J., Wan, Q., He, Z. and Lv, M., 2016. Geometric algebra in electronics and information engineering: An introduction International Journal of Electrical Engineering and Education, v. 53
    Doi: http://doi.org/10.1177/0020720915622631
  • 2015

  • Kuruoglu, EE., Lasenby, J., Taylan Cemgil, A., Kokaram, AC. and Morris, RD., 2015. Special issue in honour of William J. (Bill) Fitzgerald Digital Signal Processing: A Review Journal, v. 47
    Doi: http://doi.org/10.1016/j.dsp.2015.09.001
  • Burke, M. and Lasenby, J., 2015. Pantomimic Gestures for Human-Robot Interaction IEEE Transactions on Robotics, v. 31
    Doi: http://doi.org/10.1109/TRO.2015.2475956
  • 2014

  • Bennett, S. and Lasenby, J., 2014. ChESS - Quick and robust detection of chess-board features Computer Vision and Image Understanding, v. 118
    Doi: http://doi.org/10.1016/j.cviu.2013.10.008
  • Kuruoglu, EE., Lasenby, J., Cemgil, AT., Kokaram, A. and Morris, RD., 2014. Special issue on Bayesian signal processing: In Honour of William J. (Bill) Fitzgerald Digital Signal Processing: A Review Journal, v. 29
    Doi: http://doi.org/10.1016/S1051-2004(14)00125-0
  • Burke, M. and Lasenby, J., 2014. Single camera pose estimation using Bayesian filtering and Kinect motion priors
  • Burke, M. and Lasenby, J., 2014. Fast upper body joint tracking using Kinect pose priors Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8563 LNCS
    Doi: http://doi.org/10.1007/978-3-319-08849-5_10
  • 2013

  • Levai, I., Kimber, K., de Boer, W., Bier, J., Mahadeva, R., Lasenby, J. and Iles, R., 2013. Can non-invasive measurements of respiratory phase angle offer a surrogate of disease severity in COPD? 2-Tidal breathing data EUROPEAN RESPIRATORY JOURNAL, v. 42
  • Bennett, S. and Lasenby, J., 2013. ChESS - Quick and Robust Detection of Chess-board Features
  • Aristidou, A. and Lasenby, J., 2013. Real-time marker prediction and CoR estimation in optical motion capture Visual Computer, v. 29
    Doi: http://doi.org/10.1007/s00371-011-0671-y
  • Shankar, S., Lasenby, J. and Kokaram, A., 2013. Warping trajectories for video synchronization ARTEMIS 2013 - Proceedings of the 4th ACM/IEEE International Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Stream,
    Doi: http://doi.org/10.1145/2510650.2510654
  • Burke, M. and Lasenby, J., 2013. Multilinear function factorisation for time series feature extraction 2013 18th International Conference on Digital Signal Processing, DSP 2013,
    Doi: http://doi.org/10.1109/ICDSP.2013.6622721
  • Shankar, S., Lasenby, J. and Kokaram, A., 2013. Synchronization of user-generated videos through trajectory correspondence and a refinement procedure ACM International Conference Proceeding Series,
    Doi: http://doi.org/10.1145/2534008.2534017
  • Levai, I., Kimber, K., de Boer, W., Beier, J., Iles, R. and Lasenby, J., 2013. A novel method of chest wall movement analysis using structured light plethysmography: A study on elite athletes vs normal subjects EUROPEAN RESPIRATORY JOURNAL, v. 42
  • 2012

  • Aristidou, A. and Lasenby, J., 2012. Real-time marker prediction and CoR estimation in optical motion capture Visual Computer,
  • Harle, R., Taherian, S., Pias, M., Coulouris, G., Hopper, A., Cameron, J., Lasenby, J., Kuntze, G., Bezodis, I., Irwin, G. and Kerwin, DG., 2012. Towards real-time profiling of sprints using wearable pressure sensors Computer Communications, v. 35
    Doi: http://doi.org/10.1016/j.comcom.2011.03.019
  • Zou, L., Lasenby, J. and He, Z., 2012. Polarisation diversity of conformal arrays based on geometric algebra via convex optimisation IET Radar, Sonar and Navigation, v. 6
    Doi: http://doi.org/10.1049/iet-rsn.2011.0293
  • Bennett, S. and Lasenby, J., 2012. Deformation measurement of a human chest experiencing global motion Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 7378 LNCS
    Doi: http://doi.org/10.1007/978-3-642-31567-1_14
  • Zou, L., Lasenby, J. and He, Z., 2012. Direction and polarisation estimation using polarised cylindrical conformal arrays IET Signal Processing, v. 6
    Doi: http://doi.org/10.1049/iet-spr.2011.0287
  • 2011

  • Harle, R., Taherian, S., Pias, M., Coulouris, G., Hopper, A., Cameron, J., Lasenby, J., Kuntze, G., Bezodis, I., Irwin, G. and Kerwin, DG., 2011. Towards real-time profiling of sprints using wearable pressure sensors Computer Communications,
  • Harle, R., Cameron, J. and Lasenby, J., 2011. Foot contact detection for sprint training Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6468 LNCS
    Doi: http://doi.org/10.1007/978-3-642-22822-3_30
  • Zou, L., Lasenby, J. and He, Z., 2011. Beamforming with distortionless co-polarisation for conformal arrays based on geometric algebra IET RADAR SONAR NAV, v. 5
    Doi: http://doi.org/10.1049/iet-rsn.2011.0112
  • Aristidou, A. and Lasenby, J., 2011. FABRIK: A fast, iterative solver for the Inverse Kinematics problem Graphical Models, v. 73
    Doi: http://doi.org/10.1016/j.gmod.2011.05.003
  • Wareham, RJ. and Lasenby, J., 2011. Generating Fractals Using Geometric Algebra ADV APPL CLIFFORD AL, v. 21
    Doi: http://doi.org/10.1007/s00006-010-0265-1
  • Zou, L., Lasenby, J. and He, Z., 2011. Pattern analysis of conformal array based on geometric algebra IET MICROW ANTENNA P, v. 5
    Doi: http://doi.org/10.1049/iet-map.2010.0588
  • 2010

  • Brand, D., Lau, E., Cameron, J., Wareham, R., Usher-Smith, J., Bridge, P., Lasenby, J. and Iles, R., 2010. TIDAL BREATHING PARAMETERS MEASURED BY STRUCTURED LIGHT PLETHYSMOGRAPHY (SLP) AND SPIROMETRY AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, v. 181
  • Candy, LP. and Lasenby, J., 2010. On finite rotations and the noncommutativity rate vector IEEE Transactions on Aerospace and Electronic Systems, v. 46
    Doi: http://doi.org/10.1109/TAES.2010.5461669
  • De Boer, WH., Lasenby, J., Cameron, J., Wareham, R., Ahmad, S., Roach, C., Hills, W. and Iles, R., 2010. SLP: A zero-contact non-invasive method for pulmonary function testing British Machine Vision Conference, BMVC 2010 - Proceedings,
    Doi: http://doi.org/10.5244/C.24.85
  • 2009

  • Kaimakis, P. and Lasenby, J., 2009. Physiological modelling for improved reliability in silhouette-driven gradient-based hand tracking 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009,
    Doi: http://doi.org/10.1109/CVPR.2009.5204252
  • Lehtinen, S., Cheung, C., Pelah, A., Cameron, J. and Lasenby, J., 2009. Step synchronization and third person speed perception in virtual environment locomotion simulators Proceedings - APGV 2009: Symposium on Applied Perception in Graphics and Visualization,
    Doi: http://doi.org/10.1145/1620993.1621029
  • Galasso, F. and Lasenby, J., 2009. Fourier analysis and gabor filtering for texture analysis and local reconstruction of general shapes 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009,
    Doi: http://doi.org/10.1109/CVPRW.2009.5206591
  • 2007

  • Russell, BD., Wilson, DI., Blackburn, S. and Lasenby, J., 2007. Application of on-line signal processing to monitoring paste extrusion processes International Journal of Modelling, Identification and Control (IJMIC),
  • 2006

  • Pelah, A., Chambers, DP., d'Arch-Smith, C., Cameron, JI., Lee, CH. and Lasenby, J., 2006. Cognitive effects on the walk-run transition during locomotion PERCEPTION, v. 35
  • Russell, BD., Ovaici, H., Lasenby, J., Beckett, ST. and Wilson, DI., 2006. Real-time monitoring of chocolate extrusion by signal processing of pressure transducer data Food Control, v. 17
    Doi: http://doi.org/10.1016/j.foodcont.2005.06.003
  • Russell, BD., Wilson, DI., Lasenby, J. and Blackburn, S., 2006. Selection of signal processing techniques for extracting quantitative indicators of paste quality from extrusion pressure data Chemical Engineering Communications, v. 193
  • Russell, BD., Ovaici, H., Lasenby, J., Beckett, ST. and Wilson, DI., 2006. Real-time monitoring of chocolate extrusion by signal processing of pressure transducer data FOOD CONTROL, v. 17
    Doi: http://doi.org/10.1016/j.foodcont.2005.06.003
  • Russell, BD., Wilson, DI., Lasenby, J. and Blackburn, S., 2006. Selection of signal processing techniques for extracting quantitative indicators of paste quality from extrusion pressure data CHEM ENG COMMUN, v. 193
    Doi: http://doi.org/10.1080/00986440500352006
  • 2004

  • Russell, BD., Lasenby, J., Blackburn, S. and Wilson, DI., 2004. Monitoring structural aspects of pastes undergoing continuous extrusion using signal processing of pressure data CHEM ENG RES DES, v. 82
  • Ringer, M. and Lasenby, J., 2004. A procedure for automatically estimating model parameters in optical motion capture Image and Vision Computing, v. 22
    Doi: http://doi.org/10.1016/j.imavis.2004.02.011
  • Russell, BD., Wilson, DI., Lasenby, J. and Blackburn, S., 2004. Monitoring structural aspects of pastes undergoing continuous extrusion using signal processing of pressure data Chemical Engineering Research and Design, v. 82
  • Ringer, M. and Lasenby, J., 2004. A procedure for automatically estimating model parameters in optical motion capture Image and Vision Computing, v. 22
    Doi: http://doi.org/10.1016/j.imavis.2004.02.011
  • 2003

  • Russell, BD., Lasenby, J., Blackburn, S. and Wilson, DI., 2003. Characterising paste extrusion behaviour by signal processing of pressure sensor data Powder Technology, v. 132
    Doi: http://doi.org/10.1016/S0032-5910(03)00076-7
  • McRobie, FA., Morgenthal, G., Lasenby, J. and Ringer, M., 2003. Section model tests on human-structure lock-in Proceedings of the Institution of Civil Engineers: Bridge Engineering, v. 156
    Doi: http://doi.org/10.1680/bren.156.2.71.36739
  • Russell, BD., Lasenby, J., Blackburn, S. and Wilson, DI., 2003. Characterising paste extrusion behaviour by signal processing of pressure sensor data Powder Technology, v. 132
  • 2002

  • Gamage, SS. and Lasenby, J., 2002. New least squares solutions for estimating the average centre of rotation and the axis of rotation Journal of Biomechanics, v. 35
    Doi: http://doi.org/10.1016/S0021-9290(01)00160-9
  • 2000

  • Lasenby, J., Lasenby, AN. and Doran, CJL., 2000. A unified mathematical language for physics and engineering in the 21st century PHILOS T ROY SOC A, v. 358
  • Lasenby, J., Lasenby, AN. and Doran, CJL., 2000. A unified mathematical language for physics and engineering in the 21st century Philosophical Transactions of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences,
  • 1999

  • McRobie, FA. and Lasenby, J., 1999. Simo-Vu Quoc rods using Clifford algebra International Journal for Numerical Methods in Engineering, v. 45
    Doi: http://doi.org/10.1002/(SICI)1097-0207(19990610)45:4<377::AID-NME586>3.0.CO;2-P
  • Lasenby, J. and Bayro Corrochano, ED., 1999. Analysis and computation of projective invariants from multiple views in the geometric algebra framework International Journal of Pattern Recognition and Artificial Intelligence, v. 13
  • 1998

  • Lasenby, J., Fitzgerald, WJ., Lasenby, AN. and Doran, CJL., 1998. New geometric methods for computer vision: An application to structure and motion estimation INT J COMPUT VISION, v. 26
  • Sabin, M., Lasenby, J., Fitzgibbon, A., Triggs, W. and Torr, PHS., 1998. Estimating tensors for matching over multiple views - Discussion PHILOS T ROY SOC A, v. 356
  • Triggs, W., Faugeras, O., Vieville, T., Lasenby, J. and Hartley, RI., 1998. Grassmann-Cayley algebra for modelling systems of cameras and the algebraic equations of the manifold of trifocal tensors - Discussion PHILOS T ROY SOC A, v. 356
  • Lasenby, J., Zisserman, A., Cipolla, R. and Longuet-Higgins, HC., 1998. New geometric techniques in computer vision - Preface PHILOS T ROY SOC A, v. 356
  • Faugeras, O., Torr, PHS., Kanade, T., Hollinghurst, N., Lasenby, J., Sabin, M. and Fitzgibbon, A., 1998. Geometric motion segmentation and model selection - Discussion PHILOS T ROY SOC A, v. 356
  • Cipolla, R., Blake, A., Triggs, W., Lasenby, J. and Sabin, M., 1998. Statistical models of visual shape and motion - Discussion PHILOS T ROY SOC A, v. 356
  • Lasenby, J. and Lasenby, AN., 1998. Estimating tensors for matching over multiple views Philosophical Transactions of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences, v. 356
  • 1995

  • Kokaram, AC., Persad, N., Lasenby, J., Fitzgerald, WJ., McKinnon, A. and Welland, ME., 1995. Restoration of images from the scanning tunnelling microscope Applied Optics, v. 34
  • 1994

  • Lasenby, J. and Fitzgerald, WJ., 1994. Entropic Volterra classifier (EVC) for use in data classification Electronics Letters, v. 30
    Doi: http://doi.org/10.1049/el:19940005
  • Lasenby, J. and Fitzgerald, WJ., 1994. Use of an entropic regulariser with connectionist network classifiers Neural Network World, v. 5
  • 1993

  • Fuhr, W., Staguhn, J., Schulz, A., Hills, RE., Lasenby, AN., Lasenby, J., Miller, M., Schieder, R., Stutzki, J., Vowinkel, B. and Winnewisser, G., 1993. Surface adjustment of the Kosma 3m telescope using phase retrieval holography Astronomy and Astrophysics, v. 274
  • FUHR, W., STAGUHN, J., SCHULZ, A., HILLS, RE., LASENBY, AN., LASENBY, J., MILLER, M., SCHIEDER, R., STUTZKI, J., VOWINKEL, B. and WINNEWISSER, G., 1993. SURFACE ADJUSTMENT OF THE KOSMA 3M TELESCOPE USING PHASE RETRIEVAL HOLOGRAPHY ASTRON ASTROPHYS, v. 274
  • 1991

  • Lasenby, J. and Fitzgerald, WJ., 1991. A Bayesian approach to high-resolution beamforming IEE Proceedings F: Radar and Signal Processing, v. 138
  • Fitzgerald, WJ. and Lasenby, J., 1991. High resolution beamforming using Bayesian inference Proceedings of the Institute of Acoustics, v. 13
  • 1990

  • Goldsmith, PF., Lis, DC., Hills, RE. and Lasenby, J., 1990. High angular resolution submillimetre observations of Sgr-B2 The Astrophysical Journal, v. 350
  • SCHWARZ, UJ. and LASENBY, J., 1990. ZEEMAN OBSERVATIONS OF THE MAGNETIC-FIELD IN THE GALACTIC-CENTER IAU SYMP,
  • 1989

  • LASENBY, J., LASENBY, AN. and YUSEFZADEH, F., 1989. H-I ABSORPTION-MEASUREMENTS OVER THE GALACTIC-CENTER RADIO ARC REGION ASTROPHYS J, v. 343
  • Lasenby, J., Lasenby, AN. and Yusef Zadeh, F., 1989. HI absorption measurements of the galactic centre radio arc region The Astrophysical Journal, v. 343
  • LASENBY, J., LASENBY, AN. and YUSEFZADEH, F., 1989. HI ABSORPTION-MEASUREMENTS OVER THE GALACTIC-CENTER RADIO ARC AND ARCHES REGIONS IAU SYMP,
  • LASENBY, J., YUSEFZADEH, F. and LASENBY, AN., 1989. HI ABSORPTION AGAINST THE 40KMS-1 CLOUD AND THE CIRCUMNUCLEAR DISK IN SGR A IAU SYMP,
  • Theses / dissertations

    2020 (No publication date)

  • Cotter, F., 2020 (No publication date). Uses of Complex Wavelets in Deep Convolutional Neural Networks
  • Conference proceedings

    2019

  • Lauhkonen, E., Grafton, A., Motamedi, S., Restarick, C., Lasenby, J. and Iles, RW., 2019. Using Adaptive Principal Component Analysis (APCA) and Machine Learning to characterise paediatric asthma in data collected by Structured Light Plethysmography (SLP) EUROPEAN RESPIRATORY JOURNAL, v. 54
    Doi: http://doi.org/10.1183/13993003.congress-2019.PA922
  • Grafton, A., Motamedi, S., Lasenby, J. and Iles, R., 2019. USING ADAPTIVE PRINCIPAL COMPONENT ANALYSIS AND AGE-VARYING KERNEL DISTRIBUTIONS TO CHARACTERISE COPD IN DATA COLLECTED BY STRUCTURED LIGHT PLETHYSMOGRAPHY (SLP) THORAX, v. 74
    Doi: http://doi.org/10.1136/thorax-2019-BTSabstracts2019.268
  • Achawal, S., Lasenby, J., Hadfield, H. and Lasenby, A., 2019. Ray-Tracing Objects and Novel Surface Representations in CGA Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11542 LNCS
    Doi: http://doi.org/10.1007/978-3-030-22514-8_58
  • 2016

  • Hang, J., Lasenby, J. and Li, A., 2016. An automatic solution framework for robust and computationally efficient joint estimation in optical motion capture Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015,
    Doi: http://doi.org/10.1109/CSCI.2015.23
  • 2015

  • Thanikkel, L., Hope, J., Lasenby, J. and Iles, R., 2015. The influence of age, region and season on asthma admissions in NHS England for the years 2000-2014 EUROPEAN RESPIRATORY JOURNAL, v. 46
    Doi: http://doi.org/10.1183/13993003.congress-2015.PA3392
  • Gregory, A., Agarwal, A., Lasenby, J. and Sinayoko, S., 2015. Geometric algebra and an acoustic space time for propagation in non-uniform flow Proceedings of the 22nd International Congress on Sound and Vibration,
  • 2014

  • Bennett, S., Lasenby, J., Kokaram, A., Inguva, S. and Birkbeck, N., 2014. Reconstruction of the pose of uncalibrated cameras via user-generated videos Proceedings of the 8th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2014,
    Doi: http://doi.org/10.1145/2659021.2659028
  • Jones, G., Lockwood, G., Ben, S., Lasenby, J. and Russell, RR., 2014. Non-invasive assessment of VQ - should we use a two compartment or three compartment model? EUROPEAN RESPIRATORY JOURNAL, v. 44
  • 2013

  • Bennett, S. and Lasenby, J., 2013. Robust recognition of chess-boards under deformation 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings,
    Doi: http://doi.org/10.1109/ICIP.2013.6738546
  • Shankar, S., Lasenby, J. and Cipolla, R., 2013. Semantic transform: Weakly supervised semantic inference for relating visual attributes Proceedings of the IEEE International Conference on Computer Vision,
    Doi: http://doi.org/10.1109/ICCV.2013.52
  • 2011

  • Alimohamed, S., Prosser, K., Weerasuriya, C., Iles, R., Cameron, J., Lasenby, J. and Fogarty, C., 2011. VALIDATING STRUCTURED LIGHT PLETHYSMOGRAPHY (SLP) AS A NON-INVASIVE METHOD OF MEASURING LUNG FUNCTION WHEN COMPARED TO SPIROMETRY THORAX, v. 66
    Doi: http://doi.org/10.1136/thoraxjnl-2011-201054c.134
  • Fung, N., Lasenby, J., Jones, JG. and Russell, RR., 2011. Model-Fitting for Automated and Robust Determination of Pulmonary Oxygen Exchange WORKSHOP PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS, v. 10
    Doi: http://doi.org/10.3233/978-1-60750-795-6-775
  • 2010

  • Aristidou, A. and Lasenby, J., 2010. Motion capture with constrained inverse kinematics for real-time hand tracking Final Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010,
    Doi: http://doi.org/10.1109/ISCCSP.2010.5463419
  • Taherian, S., Pias, M., Harle, R., Coulouris, G., Hay, S., Cameron, JI., Lasenby, J., Kuntze, G., Bezodis, I., Irwin, G. and Kerwin, D., 2010. Profiling sprints using on-body sensors Pervasive Computing and Communications Workshops (PERCOM Workshops), 2010 8th IEEE International Conference on,
    Doi: http://doi.org/10.1109/PERCOMW.2010.5470629
  • Aristidou, A. and Lasenby, J., 2010. Inverse kinematics solutions using conformal geometric algebra
  • Candy, LP. and Lasenby, J., 2010. Attitude and position tracking using conformal geometric algebra
  • Casey, R., Pelah, A., Cameron, JI. and Lasenby, J., 2010. Influence of step frequency on visual speed perception during locomotion APGV '10 Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization,
    Doi: http://doi.org/10.1145/1836248.1836282
  • de Boer, W., Lasenby, J., Cameron, JI., Wareham, RJ., Ahmed, S., Roach, C., Hills, W. and Iles, R., 2010. A zero-contact non-invasive method for pulmonary function testing
  • Harle, R., Cameron, JI. and Lasenby, J., 2010. Foot contact detection for sprint training
  • 2009

  • Kaimakis, P. and Lasenby, J., 2009. Physiological Modelling for Improved Reliability in Silhouette-Driven Gradient-Based Hand Tracking 2009 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPR WORKSHOPS 2009), VOLS 1 AND 2,
  • Brand, DH., Lau, E., Usher-Smith, JA., Wareham, R., Cameron, J., Bridge, P., Hills, W., Roberts, G., Lasenby, J. and Iles, R., 2009. MEASUREMENT OF TIDAL BREATHING: A COMPARISON OF STRUCTURED LIGHT PLETHYSMOGRAPHY WITH PNEUMATACHOGRAPHY THORAX, v. 64
    Doi: http://doi.org/10.1136/thx.2009.127084w
  • Bridge, P., Iles, R., Wareham, RJ., Cameron, JI., Usher Smith, J., Hills, W., Roberts, G. and Lasenby, J., 2009. Spectral analysis of respiratory flow signals from spirometry and a novel structured light imaging system Proceedings of the 19th Annual Congress on European Respiratory Society,
  • Kaimakis, P. and Lasenby, J., 2009. Physiological modelling for improved reliability in silhouette-driven gradient-based hand tracking
  • Lau, E., Brand, D., Bridge, P., Iles, R., Wareham, RJ., Cameron, JI., Usher Smith, J., Hills, W., Roberts, G., de Boer, W. and Lasenby, J., 2009. Comparison of forced expiratory volumes measured with structured light plethysmography (SLP) and spirometry British Thoracic Society Winter Meeting 2009,
  • Lehtinen, S., Cheung, C., Pelah, A., Cameron, JI. and Lasenby, J., 2009. Step synchronization and third person speed perception in virtual environment locomotion simulators APGV '09 Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization, v. 141
    Doi: http://doi.org/10.1145/1620993.1621029
  • Lau, E., Brand, DH., Usher-Smith, JA., Wareham, R., Cameron, J., Bridge, P., Hills, W., Roberts, G., Iles, R. and Lasenby, J., 2009. COMPARISON OF FORCED EXPIRATORY VOLUMES MEASURED WITH STRUCTURED LIGHT PLETHYSMOGRAPHY AND PNEUMATACH SPIROMETRY THORAX, v. 64
    Doi: http://doi.org/10.1136/thx.2009.127084v
  • Nanapragasam, A., Pelah, A., Cameron, JI. and Lasenby, J., 2009. Visualizations for locomotor learning with real time feedback in VR APGV '09 Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization, v. 141
    Doi: http://doi.org/10.1145/1620993.1621033
  • Usher Smith, J., Wareham, RJ., Lasenby, J., Cameron, JI., Bridge, P. and Iles, R., 2009. Structured light plethysmography in infants and children - a pilot study
  • Galasso, F. and Lasenby, J., 2009. Fourier Analysis and Gabor Filtering for Texture Analysis and Local Reconstruction of General Shapes CVPR: 2009 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-4,
  • Wareham, RJ., Lasenby, J., Cameron, JI., Bridge, P. and Iles, R., 2009. Structured light plethysmography (SLP) in infants and children - a pilot study Proceedings of the 19th Annual Congress on European Respiratory Society,
  • 2008

  • Aristidou, A., Cameron, JI. and Lasenby, J., 2008. Predicting missing markers to drive real-time centre of rotation estimation Lecture Notes in Computer Science, v. 5098
    Doi: http://doi.org/10.1007/978-3-540-70517-8
  • Aristidou, A., Cameron, JI. and Lasenby, J., 2008. Real-time estimation of missing markers in human motion capture Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on,
    Doi: http://doi.org/10.1109/ICBBE.2008.665
  • Cameron, JI. and Lasenby, J., 2008. Estimating human skeleton parameters and configuration in real-time from markered optical motion capture Lecture Notes in Computer Science, v. 5098/2008
    Doi: http://doi.org/10.1007/978-3-540-70517-8
  • Dong, H., Pelah, A., Cameron, JI. and Lasenby, J., 2008. The perceptual influences on gait transition of step parameters and optic flow in virtual environment locomotion simulators Applied Perception in Graphics and Visualization - Virtual Environments II: motion,
    Doi: http://doi.org/10.1145/1394281.1394308
  • Galasso, F. and Lasenby, J., 2008. Shape from texture via fourier analysis Lecture Notes in Computer Science, v. 5358
    Doi: http://doi.org/10.1007/978-3-540-89639-5
  • Lee, C. and Lasenby, J., 2008. An efficient wavelet-based framework for articulated human motion compression Lecture Notes in Computer Science, v. 5358
    Doi: http://doi.org/10.1007/978-3-540-89639-5
  • Wareham, RJ. and Lasenby, J., 2008. Bone glow: an improved method for the assignment of weights for mesh deformation Lecture Notes in Computer Science, v. 5098/2008
    Doi: http://doi.org/10.1007/978-3-540-70517-8
  • Wareham, RJ. and Lasenby, J., 2008. Mesh vertex pose and position interpolation using geometric algebra Lecture Notes in Computer Science, v. 5098/2008
    Doi: http://doi.org/10.1007/978-3-540-70517-8
  • Cameron, J. and Lasenby, J., 2008. Oriented conformal geometric algebra ADVANCES IN APPLIED CLIFFORD ALGEBRAS, v. 18
    Doi: http://doi.org/10.1007/s00006-008-0084-9
  • 2007

  • Galasso, F. and Lasenby, J., 2007. Shape from texture of developable surfaces via Fourier analysis ADVANCES IN VISUAL COMPUTING, PT I, v. 4841
  • Galasso, F. and Lasenby, J., 2007. Shape from texture of developable surfaces via Fourier analysis Proceedings of 3rd International Symposium on Visual Computing (ISVC07), Lake Tahoe, USA, 26-28 Nov 2007,
  • Kaimakis, P. and Lasenby, J., 2007. Gradient-based hand tracking using silhouette data Proceedings of 3rd International Symposium on Visual Computing (ISVC07), Lake Tahoe, USA, 26-28 Nov 2007,
  • Kaimakis, P. and Lasenby, J., 2007. Gradient-based hand tracking using silhouette data ADVANCES IN VISUAL COMPUTING, PT I, v. 4841
  • Lee, C. and Lasenby, J., 2007. A compact representation for articulated human motion
    Doi: http://doi.org/10.1145/1280720.1280824
  • Verrill, J. and Lasenby, J., 2007. A fast mesh deformation tool for Blender
  • Cameron, JI. and Lasenby, J., 2007. Oriented conformal geometric algebra Proceedings of the 7th International Conference on Clifford Algebras and Their Applications (ICCA7), 19-29 May 2005, Toulouse, France,
  • Galasso, F. and Lasenby, J., 2007. Shape from texture: fast estimation of planar surface orientation via Fourier analysis Proceedings of the 18th British Machine Vision Conference (BMVC 2007), v. 2
  • 2006

  • Lee, C. and Lasenby, J., 2006. 3D human motion compression using wavelet decomposition Proceedings of the 33rd International Conference on Computer Graphics and Interactive Techniques,
    Doi: http://doi.org/10.1145/1179622.1179742
  • Pelah, A., Chambers, D., d'Arch Smith, C., Cameron, JI., Lee, C. and Lasenby, J., 2006. Cognitive effects on the walk-run transition during locomotion Perception: 30th European Conference on Visual Perception, v. 35
  • 2005

  • Cameron, JI. and Lasenby, J., 2005. A real-time sequential algorithm for human joint localization
  • 2004

  • Kaimakis, P. and Lasenby, J., 2004. Markerless motion capture with single and multiple cameras Proceedings of the 11th International Conference on Image Processing (ICIP 2004), v. 4
  • Wareham, RJ., Cameron, JI. and Lasenby, J., 2004. Applications of conformal geometric algebra in computer vision and graphics Proceedings of the 6th International Workshop on Mathematics Mechanization; Computer Algebra and Geometric Algebra with Applications (IWMM), v. 3519
  • 2002

  • Ringer, M. and Lasenby, J., 2002. A procedure for automatically estimating model parameters in optical motion capture Proceedings of the 13th British Machine Vision Conference (BMVC 2002), v. 2
  • Doran, C., Lasenby, A. and Lasenby, J., 2002. Conformal geometry, Euclidean space and geometric algebra UNCERTAINTY IN GEOMETRIC COMPUTATIONS, v. 704
  • Ringer, MA. and Lasenby, J., 2002. Multiple hypothesis tracking for automatic optical motion capture Lecture Notes in Computer Science, v. 2350
  • Russell, BD., Wilson, DI., Lasenby, J. and Blackburn, S., 2002. On-line monitoring of pastes undergoing extrusion Proceedings of the 4th World Congress on Particle Technology,
  • 2001

  • Ringer, MA., Drummond, TW. and Lasenby, J., 2001. Using occlusions to aid position estimation for visual motion capture Proceedings of the 20th International Conference on Computer Vision and Pattern Recognition, v. 2
    Doi: http://doi.org/10.1109/CVPR.2001.990998
  • Gamage, S. and Lasenby, J., 2001. Inferring dynamical information from 3D position data using geometric algebra Proceedings of the Conference on Applied Geometric Algebras in Computer Science and Engineering (AGACSE),
  • 2000

  • Gamage, S. and Lasenby, J., 2000. Optimal estimation and tracking of general rotations using geometric algebra with applications in computer vision Proceedings of the 9th International Conference on Vision Geometry, v. 4117
  • Ringer, MA. and Lasenby, J., 2000. Modelling and tracking articulated motion from multiple camera views Proceedings of the 15th Biennial International EURASIP Conference (Biosignal 2000),
  • Lasenby, AN. and Lasenby, J., 2000. Surface evolution and representation using geometric algebra The Mathematics of Surfaces IX: Proceedings of the 9th IMA Conference, Cambridge, 4-7 September 2000,
  • Lasenby, J., Gamage, S. and Ringer, MA., 2000. Modelling motion: tracking, analysis and inverse kinematics Lecture Notes in Computer Science, v. 1888
  • McRobie, FA. and Lasenby, J., 2000. The kinematics of large rotations using Clifford algebra IUTAM-IASS SYMPOSIUM ON DEPLOYABLE STRUCTURES: THEORY AND APPLICATIONS, v. 80
  • Ringer, MA. and Lasenby, J., 2000. Modelling and tracking articulated motion from multiple camera views Proceedings of the 11th British Machine Vision Conference (BMVC2000), v. 1
  • Sajeewa, HUGS. and Lasenby, J., 2000. Estimation and tracking of articulated motion using geometric algebra Lecture Notes in Computer Science, v. 1888
  • 1999

  • Clements, JM., Lasenby, J. and Burgoyne, CJ., 1999. Interpolation of rotations in finite difference schemes using geometric algebra
  • 1998

  • Bayro Corrochano, ED. and Lasenby, J., 1998. Geometric techniques for the computation of projective invariants using n uncalibrated cameras Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'98),
  • Lasenby, J., Stevenson, AXS. and Proudler, IK., 1998. The analysis of linear functions using geometric algebra - an alternative to matrices and tensors IMA Conference Series(Institute of Mathematics and Its Applications), v. 67
  • Lasenby, J. and Lasenby, AN., 1998. Estimating tensors for matching over multiple views PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, v. 356
  • Perwass, CBU. and Lasenby, J., 1998. A geometric analysis of the trifocal tensor Proceedings of the International Conference on Image and Vision Computing (IVCNZ'98),
  • Stevenson, AXS. and Lasenby, J., 1998. Decomplexifying the absolute conic Proceedings of the International Conference on Image and Vision Computing (IVCNZ'98),
  • 1997

  • Bayro-Corrochano, E. and Lasenby, J., 1997. A unified language for computer vision and robotics Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 1315
    Doi: http://doi.org/10.1007/bfb0017870
  • Bayro Corrochano, E., Lasenby, J. and Sommer, G., 1997. What can Grassmann, Hamilton and Clifford tell us about computer vision and robotics Proceedings of the 19th Deutsche Arbeitsgemeinschaft fur Mustererkennung Symposium,
  • McRobie, FA. and Lasenby, J., 1997. Geometric algebra for engineering mechanics Proceedings of the 2nd IMA Conference on the Mathematical Education of Engineers,
  • Basman, AM., Lasenby, J. and Cipolla, R., 1997. Efficient region segmentation through "creep-and-merge" Proceedings of the 9th International Conference on Image Analysis and Processing (ICIAP'97), v. 1310
  • Bayro Corrochano, E. and Lasenby, J., 1997. Geometric Algebra: a framework for computer vision and robotics Lecture Notes in Computer Science, v. 1315
  • Lasenby, J. and Bayro Corrochano, E., 1997. Computing 3D projective invariants from points and lines Lecture Notes in Computer Science, v. 1296
  • Lasenby, J. and Lasenby, AN., 1997. Constrained optimization using geometric algebra and its application to signal analysis Proceedings of the 1st European Conference on Signal Analysis and Prediction (ESCAP-97),
  • Lasenby, J. and Lasenby, AN., 1997. Constrained optimization using geometric algebra and its application to signal analysis SIGNAL ANALYSIS & PREDICTION I,
  • 1996

  • Lasenby, J., Bayro Corrochano, E., Lasenby, AN. and Sommer, G., 1996. A new methodology for computing invariants in computer vision Proceedings of the 13th International Conference on Pattern Recognition (IAPR), v. Volume 1: Computer Vision
  • Lasenby, J., Bayro Corrochano, E. and Sommer, G., 1996. Geometric algebra: a framework for computing point and line correspondences and projective structure using n-uncalibrated cameras Proceedings of the 13th International Conference on Pattern Recognition (IAPR), v. Volume 1: Computer Vision
  • Lasenby, J., BayroCorrochano, E., Lasenby, AN. and Sommer, G., 1996. A new framework for the formation of invariants and multiple-view constraints in computer vision INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL II,
  • Lasenby, J., Bayro Corrochano, E., Lasenby, AN. and Somer, G., 1996. A new framework for the formation of invariants and multiple-view constraints in computer vision Proceedings of the International Conference on Image Processing (ICIP'96), v. 2
  • 1995

  • Bayro Corrochano, E. and Lasenby, J., 1995. Object modelling and motion analysis using Clifford algebra Proceedings of Europe-China Workshop on Geometrical Modeling and Invariants for Computer Vision (GMICV’95),
  • Lasenby, J., 1995. Geometric algebra: applications in engineering Proceedings of the Summer School on Theoretical Physics: Clifford (Geometric) Algebras with Applications to Physics, Mathematics, and Engineering,
  • BAYROCORROCHANO, E. and LASENBY, J., 1995. Object modelling and motion analysis using Clifford algebra PROCEEDINGS OF EUROPE-CHINA WORKSHOP ON GEOMETRICAL MODELING & INVARIANTS FOR COMPUTER VISION,
  • 1992

  • LASENBY, J. and FITZGERALD, WJ., 1992. BAYESIAN TECHNIQUES AND MAXIMUM-ENTROPY METHODS APPLIED TO HIGH-RESOLUTION BEAMFORMING EUROPEAN CONFERENCE ON UNDERWATER ACOUSTICS,
  • Lasenby, J. and Fitzgerald, WJ., 1992. Bayesian techniques and maximum entropy methods applied to high resolution beamforming Proceedings of the European Conference on Underwater Acoustics,
  • 1991

  • Fitzgerald, WJ. and Lasenby, J., 1991. High resolution beamforming using Bayesian inference Proceedings of the 3rd Conference on Sonar Signal Processing,
  • Fitzgerald, WJ. and Lasenby, J., 1991. High resolution beamforming using Bayesian inference Proceedings of the 3rd Conference on Sonar Signal Processing,
  • 1990

  • Schwarz, UJ. and Lasenby, J., 1990. Zeeman observations of the magnetic field in the galactic centre Proceedings of the 140th Symposium of the International Astronomical Union (IAU): Galactic and Intergalactic Magnetic Fields,
  • LIS, DC., GOLDSMITH, PF., HILLS, R. and LASENBY, J., 1990. FAR INFRARED AND SUBMILLIMETER CONTINUUM OBSERVATIONS OF THE SAGITTARIUS B2 MOLECULAR CLOUD CORE SUBMILLIMETRE ASTRONOMY, v. 158
  • Lis, DC., Goldsmith, PF., Hills, RE. and Lasenby, J., 1990. Far infrared and submillimetre continuum observations of the Sagittarius B2 molecular cloud core Submillimetre Astronomy, v. 158
  • 1989

  • Lasenby, J., Lasenby, AN. and Yusef Zadeh, F., 1989. The galactic centre radio arc and arches - HI absorption Proceedings of the 136th Symposium of the International Astronomical Union (IAU): The Center of the Galaxy,
  • Lasenby, J., Lasenby, AN. and Yusef Zadeh, F., 1989. The Sagittarius-A complex - HI absorption Proceedings of the 136th Symposium of the International Astronomical Union (IAU): The Center of the Galaxy,
  • LASENBY, J., YUSEFZADEH, F. and LASENBY, AN., 1989. HI ABSORPTION AGAINST THE 40KMS-1 CLOUD AND THE CIRCUMNUCLEAR DISK IN SGR A CENTER OF THE GALAXY, v. 136
  • LASENBY, J., LASENBY, AN. and YUSEFZADEH, F., 1989. HI ABSORPTION-MEASUREMENTS OVER THE GALACTIC-CENTER RADIO ARC AND ARCHES REGIONS CENTER OF THE GALAXY, v. 136
  • Datasets

    2017 (No publication date)

  • Gregory, AL. and Agarwal, A., 2017 (No publication date). Oscillation of Flexible Tubes - High Speed Video of Onset
  • Gregory, AL., Agarwal, A. and Lasenby, J., 2017 (No publication date). Collapse of Flexible Tubes - The Tube Law
  • Reports

    2009

  • Aristidou, A. and Lasenby, J., 2009. Inverse kinematics: a review of existing techniques and introduction of a new fast iterative solver
  • 2008

  • Aristidou, A., Lasenby, J. and Cameron, JI., 2008. Methods for real-time restoration and estimation in optical motion capture
  • 2004

  • Cameron, JI. and Lasenby, J., 2004. General bivector exponentials in 3D conformal geometric algebra
  • Lasenny, A., Lasenby, J. and Wareham, RJ., 2004. A covariant approach to geometry using geometric algebra
  • 2001

  • Hiniduma Udugama Gamage, SS. and Lasenby, J., 2001. A new least squares solution for estimation of centre and axis of rotation
  • Hiniduma Udugama Gamage, SS. and Lasenby, J., 2001. Estimation of centres and axes of rotation of articulated bodies in general motion for global skeleton fitting
  • Hiniduma Udugama Gamage, SS. and Lasenby, J., 2001. Extraction of rigid body dynamics from motion capture data
  • 2000

  • Hiniduma Udugama Gamage, SS. and Lasenby, J., 2000. Application of multivector calculus
  • Ringer, M. and Lasenby, J., 2000. Modelling and tracking articulated motion from multiple camera views
  • Rosenhahn, B. and Lasenby, J., 2000. Constraint equations for 2D-3D pose estimation in conformal geometric algebra
  • 1999

  • Perwass, CBU. and Lasenby, J., 1999. A novel axiomatic derivation of geometric algebra
  • 1998

  • Kokaram, AC., Persad, N., Lasenby, J., Fitzgerald, WJ., McKinnon, A. and Welland, M., 1998. Restoration of images from the scanning tunnelling microscope
  • Kokaram, AC., Persad, N., Lasenby, J., Fitzgerald, WJ., McKinnon, A. and Welland, M., 1998. Restoration of images from the scanning tunnelling microscope
  • Perwass, CBU. and Lasenby, J., 1998. A geometric derivation of the trifocal tensor and its constraints
  • 1997

  • Lasenby, J. and McRobie, FA., 1997. Simo-Vu Quoc rods using Clifford algebra
  • 1995

  • Lasenby, J., Fitzgerald, WJ., Lasenby, AN. and Doran, CJL., 1995. New geometric methods for computer vision
  • Lasenby, J., Fitzgerald, WJ., Lasenby, AN. and Doran, CJL., 1995. New geometric methods for computer vision
  • 1993

  • Lasenby, J. and Fitzgerald, WJ., 1993. Detection of flames by imaging techniques: paper 1 - spatial and temporal statistics
  • Lasenby, J. and Fitzgerald, WJ., 1993. Detection of flames by imaging techniques: paper 2 - classification methods
  • Lasenby, J. and Fitzgerald, WJ., 1993. Detection of flames by imaging techniques: paper 2 - classification methods
  • Lasenby, J. and Fitzgerald, WJ., 1993. Detection of flames by imaging techniques: paper 3 - morphological analysis
  • Lasenby, J. and Fitzgerald, WJ., 1993. Detection of flames by imaging techniques: paper 3 - morphological analysis
  • Lasenby, J., Fitzgerald, WJ., Powell, BD., Coleman, AJ. and Forbes, S., 1993. Detection of flames by imaging techniques: paper 1 - spatial and temporal statistics
  • Books

    2001

  • 2001. Proceedings of the Conference on Applied Geometric Algebras in Computer Science and Engineering (AGACSE 2001)
  • 1998

  • 1998. New geometric techniques in computer vision