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2020 – today
- 2024
[j19]Duo Li
, Joan Lasenby:
Imagination-Augmented Reinforcement Learning Framework for Variable Speed Limit Control. IEEE Trans. Intell. Transp. Syst. 25(2): 1384-1393 (2024)- [c66]Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby:
OpenIns3D: Snap and Lookup for 3D Open-Vocabulary Instance Segmentation. ECCV (62) 2024: 169-185 - [c65]Alberto Pepe, Sven Buchholz, Joan Lasenby:
Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction. NLDL 2024: 205-211 - [c64]Alberto Pepe, Joan Lasenby, Sven Buchholz:
CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-aware Camera Pose Regression. WACV 2024: 6579-6589 - [i25]Francis Engelmann, Ayça Takmaz, Jonas Schult, Elisabetta Fedele, Johanna Wald, Songyou Peng, Xi Wang, Or Litany, Siyu Tang, Federico Tombari, Marc Pollefeys, Leonidas J. Guibas, Hongbo Tian, Chunjie Wang, Xiaosheng Yan, Bingwen Wang, Xuanyang Zhang, Xiao Liu, Phuc Nguyen, Khoi Nguyen, Anh Tran, Cuong Pham, Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby:
OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding. CoRR abs/2402.15321 (2024) - [i24]Alberto Pepe, Sven Buchholz, Joan Lasenby:
STAResNet: a Network in Spacetime Algebra to solve Maxwell's PDEs. CoRR abs/2408.13619 (2024) - 2023
- [j18]Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik:
Scientific discovery in the age of artificial intelligence. Nat. 620(7972): 47-60 (2023) - [c63]Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu:
Evaluating Self-Supervised Learning for Molecular Graph Embeddings. NeurIPS 2023 - [c62]Charalampos Matsantonis, Joan Lasenby:
A Geometric Algebra Solution to the 3D Registration Problem. TAROS 2023: 304-314 - [i23]Alberto Pepe, Joan Lasenby:
CGA-PoseNet: Camera Pose Regression via a 1D-Up Approach to Conformal Geometric Algebra. CoRR abs/2302.05211 (2023) - [i22]Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby:
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation. CoRR abs/2309.00616 (2023) - 2022
- [j17]George Papagiannakis, Manos N. Kamarianakis, Thomas C. Sauter, Alan Chalmers, Joan Lasenby, Daniele Di Lernia, Walter J. Greenleaf:
Editorial: New Virtual Reality and Spatial Computing Applications to Empower, Upskill and Reskill Medical Professionals in a Post-Pandemic Era. Frontiers Virtual Real. 3: 877494 (2022) - [j16]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4(4): 413 (2022) - [j15]Duo Li, Joan Lasenby:
Spatiotemporal Attention-Based Graph Convolution Network for Segment-Level Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 23(7): 8337-8345 (2022) - [c61]Quentin Paletta, Anthony Hu, Guillaume Arbod, Philippe Blanc, Joan Lasenby:
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting. CVPR Workshops 2022: 5178-5187 - [c60]Alberto Pepe, Joan Lasenby, Pablo Chacón:
Using a Graph Transformer Network to Predict 3D Coordinates of Proteins via Geometric Algebra Modelling. ENGAGE 2022: 83-95 - [c59]Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang:
Pre-training Molecular Graph Representation with 3D Geometry. ICLR 2022 - [i21]Quentin Paletta, Guillaume Arbod, Joan Lasenby:
Omnivision forecasting: combining satellite observations with sky images for improved intra-hour solar energy predictions. CoRR abs/2206.03207 (2022) - [i20]Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Matt J. Kusner, Joan Lasenby, Qi Liu:
Evaluating Self-Supervised Learning for Molecular Graph Embeddings. CoRR abs/2206.08005 (2022) - [i19]Yuhao Nie, Quentin Paletta, Andea Scott, Luis Martin Pomares, Guillaume Arbod, Sgouris Sgouridis, Joan Lasenby, Adam Brandt:
Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning? CoRR abs/2211.02108 (2022) - 2021
- [j14]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 3(12): 1081-1089 (2021) - [j13]Yun-Hao Cao, Jianxin Wu, Hanchen Wang, Joan Lasenby:
Neural random subspace. Pattern Recognit. 112: 107801 (2021) - [c58]Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner:
Unsupervised Point Cloud Pre-training via Occlusion Completion. ICCV 2021: 9762-9772 - [i18]Quentin Paletta, Guillaume Arbod, Joan Lasenby:
Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images - an in-depth Analysis. CoRR abs/2102.00721 (2021) - [i17]Quentin Paletta, Anthony Hu, Guillaume Arbod, Joan Lasenby:
ECLIPSE : Envisioning Cloud Induced Perturbations in Solar Energy. CoRR abs/2104.12419 (2021) - [i16]Juan P. Vigueras-Guillén, Joan Lasenby, Frank Seeliger:
Redesigning Fully Convolutional DenseUNets for Large Histopathology Images. CoRR abs/2108.02676 (2021) - [i15]Juan P. Vigueras-Guillén, Joan Lasenby, Frank Seeliger:
Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images. CoRR abs/2108.02704 (2021) - [i14]Isiah Zaplana, Hugo Hadfield, Joan Lasenby:
Closed-form solutions for the inverse kinematics of serial robots using conformal geometric algebra. CoRR abs/2109.12411 (2021) - [i13]Isiah Zaplana, Hugo Hadfield, Joan Lasenby:
Singularities of serial robots: Identification and distance computation using geometric algebra. CoRR abs/2109.12470 (2021) - [i12]Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang:
Pre-training Molecular Graph Representation with 3D Geometry. CoRR abs/2110.07728 (2021) - [i11]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia:
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR abs/2111.09461 (2021) - [i10]Quentin Paletta, Anthony Hu, Guillaume Arbod, Philippe Blanc, Joan Lasenby:
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting. CoRR abs/2111.14507 (2021) - 2020
- [c57]Alex Grafton, Joan Lasenby:
Surface Fitting Using Dual Quaternion Control Points with Applications in Human Respiratory Modelling. CGI 2020: 421-433 - [c56]Hugo Hadfield, Lai Wei, Joan Lasenby:
The Forward and Inverse Kinematics of a Delta Robot. CGI 2020: 447-458 - [c55]Hugo Hadfield, Joan Lasenby:
Constrained Dynamics in Conformal and Projective Geometric Algebra. CGI 2020: 459-471 - [i9]Quentin Paletta, Joan Lasenby:
Convolutional Neural Networks applied to sky images for short-term solar irradiance forecasting. CoRR abs/2005.11246 (2020) - [i8]Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner:
Pre-Training by Completing Point Clouds. CoRR abs/2010.01089 (2020) - [i7]Quentin Paletta, Joan Lasenby:
A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications. CoRR abs/2012.01059 (2020)
2010 – 2019
- 2019
- [c54]Sushant Achawal, Joan Lasenby, Hugo Hadfield, Anthony N. Lasenby:
Ray-Tracing Objects and Novel Surface Representations in CGA. CGI 2019: 578-584 - 2018
- [j12]Andreas Aristidou, Joan Lasenby, Yiorgos Chrysanthou, Ariel Shamir:
Inverse Kinematics Techniques in Computer Graphics: A Survey. Comput. Graph. Forum 37(6): 35-58 (2018) - [i6]Jos van der Westhuizen, Joan Lasenby:
The unreasonable effectiveness of the forget gate. CoRR abs/1804.04849 (2018) - 2017
- [c53]Stuart Bennett, Joan Lasenby, Tony Purnell:
Virtual tracking shots for sports analysis. Computer Vision Applications in Sports 2017: 4-9 - [c52]Peter Carey, Stuart Bennett, Joan Lasenby, Tony Purnell:
Aerodynamic analysis via foreground segmentation. Computer Vision Applications in Sports 2017: 10-14 - [i5]Jos van der Westhuizen, Joan Lasenby:
Visualizing LSTM decisions. CoRR abs/1705.08153 (2017) - [i4]Jos van der Westhuizen, Joan Lasenby:
Bayesian LSTMs in medicine. CoRR abs/1706.01242 (2017) - 2016
- [j11]Andreas Aristidou, Yiorgos Chrysanthou, Joan Lasenby:
Extending FABRIK with model constraints. Comput. Animat. Virtual Worlds 27(1): 35-57 (2016) - 2015
- [j10]Ercan E. Kuruoglu, Joan Lasenby, A. Taylan Cemgil, Anil C. Kokaram, Robin D. Morris:
Special Issue in Honour of William J. (Bill) Fitzgerald. Digit. Signal Process. 47: 1-2 (2015) - [j9]Michael G. Burke, Joan Lasenby:
Pantomimic Gestures for Human-Robot Interaction. IEEE Trans. Robotics 31(5): 1225-1237 (2015) - 2014
- [j8]Stuart Bennett, Joan Lasenby:
ChESS - Quick and robust detection of chess-board features. Comput. Vis. Image Underst. 118: 197-210 (2014) - [c51]Michael G. Burke, Joan Lasenby:
Fast Upper Body Joint Tracking Using Kinect Pose Priors. AMDO 2014: 94-105 - [c50]Stuart Bennett, Joan Lasenby, Anil C. Kokaram, Sasi Inguva, Neil Birkbeck:
Reconstruction of the Pose of Uncalibrated Cameras via User-Generated Videos. ICDSC 2014: 3:1-3:8 - [i3]Michael G. Burke, Joan Lasenby:
Single camera pose estimation using Bayesian filtering and Kinect motion priors. CoRR abs/1405.5047 (2014) - 2013
- [j7]Andreas Aristidou, Joan Lasenby:
Real-time marker prediction and CoR estimation in optical motion capture. Vis. Comput. 29(1): 7-26 (2013) - [c49]Sukrit Shankar, Joan Lasenby, Anil C. Kokaram:
Synchronization of user-generated videos through trajectory correspondence and a refinement procedure. CVMP 2013: 15:1-15:10 - [c48]Sukrit Shankar, Joan Lasenby, Roberto Cipolla:
Semantic Transform: Weakly Supervised Semantic Inference for Relating Visual Attributes. ICCV 2013: 361-368 - [c47]Michael G. Burke, Joan Lasenby:
Multilinear function factorisation for time series feature extraction. DSP 2013: 1-8 - [c46]Stuart Bennett, Joan Lasenby:
Robust recognition of chess-boards under deformation. ICIP 2013: 2650-2654 - [c45]Sukrit Shankar, Joan Lasenby, Anil C. Kokaram:
Warping trajectories for video synchronization. ARTEMIS@ACM Multimedia 2013: 41-48 - [i2]Stuart Bennett, Joan Lasenby:
ChESS - Quick and Robust Detection of Chess-board Features. CoRR abs/1301.5491 (2013) - 2012
- [j6]Robert K. Harle, Salman Taherian, Marcelo Pias, George Coulouris, Andy Hopper, Jonathan Cameron, Joan Lasenby, Gregor Kuntze, Ian N. Bezodis, G. Irwin, David G. Kerwin:
Towards real-time profiling of sprints using wearable pressure sensors. Comput. Commun. 35(6): 650-660 (2012) - [j5]L. Zou, Joan Lasenby, Z. He:
Direction and polarisation estimation using polarised cylindrical conformal arrays. IET Signal Process. 6(5): 395-403 (2012) - [c44]Stuart Bennett, Joan Lasenby:
Deformation Measurement of a Human Chest Experiencing Global Motion. AMDO 2012: 144-152 - 2011
- [j4]Andreas Aristidou, Joan Lasenby:
FABRIK: A fast, iterative solver for the Inverse Kinematics problem. Graph. Model. 73(5): 243-260 (2011) - [c43]Nick Fung, Joan Lasenby, J. Gareth Jones, Rob Ross Russell:
Model-Fitting for Automated and Robust Determination of Pulmonary Oxygen Exchange. Intelligent Environments (Workshops) 2011: 775-786 - [c42]Thierry J. Maldonado, Joan Lasenby:
Simulation of breathing for medical applications. SIGGRAPH Posters 2011: 7 - [p2]Andreas Aristidou, Joan Lasenby:
Inverse Kinematics Solutions Using Conformal Geometric Algebra. Guide to Geometric Algebra in Practice 2011: 47-62 - [p1]Liam Candy, Joan Lasenby:
Attitude and Position Tracking. Guide to Geometric Algebra in Practice 2011: 105-125 - [e1]Leo Dorst, Joan Lasenby:
Guide to Geometric Algebra in Practice. Springer 2011, ISBN 978-0-85729-810-2 [contents] - 2010
- [c41]Robert K. Harle, Jonathan Cameron, Joan Lasenby:
Foot Contact Detection for Sprint Training. ACCV Workshops (1) 2010: 297-306 - [c40]Rachael Casey, Adar Pelah, Jonathan Cameron, Joan Lasenby:
Influence of step frequency on visual speed perception during locomotion. APGV 2010: 160 - [c39]Willem de Boer, Joan Lasenby, Jonathan Cameron, Rich Wareham, Shiraz Ahmad, Charlotte Roach, Ward Hills, Richard Iles:
SLP: A Zero-Contact Non-Invasive Method for Pulmonary Function Testing. BMVC 2010: 1-12 - [c38]Salman Taherian, Marcelo Pias, Robert K. Harle, George Coulouris, Simon Hay, Jonathan Cameron, Joan Lasenby, Gregor Kuntze, Ian N. Bezodis, G. Irwin, David G. Kerwin:
Profiling sprints using on-body sensors. PerCom Workshops 2010: 444-449
2000 – 2009
- 2009
- [c37]Sonja Lehtinen, Clara Cheung, Adar Pelah, Jonathan Cameron, Joan Lasenby:
Step synchronization and third person speed perception in virtual environment locomotion simulators. APGV 2009: 135 - [c36]Andrew Nanapragasam, Adar Pelah, Jonathan Cameron, Joan Lasenby:
Visualizations for locomotor learning with real time feedback in VR. APGV 2009: 139 - [c35]Paris Kaimakis, Joan Lasenby:
Physiological modelling for improved reliability in silhouette-driven gradient-based hand tracking. CVPR Workshops 2009: 19-26 - [c34]Fabio Galasso, Joan Lasenby:
Fourier analysis and Gabor filtering for texture analysis and local reconstruction of general shapes. CVPR 2009: 2342-2349 - 2008
- [c33]Rich Wareham, Joan Lasenby:
Bone Glow: An Improved Method for the Assignment of Weights for Mesh Deformation. AMDO 2008: 63-71 - [c32]Jonathan Cameron, Joan Lasenby:
Estimating Human Skeleton Parameters and Configuration in Real-Time from Markered Optical Motion Capture. AMDO 2008: 92-101 - [c31]Rich Wareham, Joan Lasenby:
Mesh Vertex Pose and Position Interpolation Using Geometric Algebra. AMDO 2008: 122-131 - [c30]Andreas Aristidou, Jonathan Cameron, Joan Lasenby:
Predicting Missing Markers to Drive Real-Time Centre of Rotation Estimation. AMDO 2008: 238-247 - [c29]Huan Dong, Adar Pelah, Jonathan Cameron, Joan Lasenby:
The perceptual influences on gait transition of step parameters and optic flow in virtual environment locomotion simulators. APGV 2008: 143-146 - [c28]Chao-Hua Lee, Joan Lasenby:
An Efficient Wavelet-Based Framework for Articulated Human Motion Compression. ISVC (1) 2008: 75-86 - [c27]Fabio Galasso, Joan Lasenby:
Shape from Texture Via Fourier Analysis. ISVC (1) 2008: 803-814 - 2007
- [c26]Fabio Galasso, Joan Lasenby:
Shape from Texture: Fast Estimation of Planar Surface Orientation via Fourier Analysis. BMVC 2007: 1-10 - [c25]Paris Kaimakis, Joan Lasenby:
Gradient-Based Hand Tracking Using Silhouette Data. ISVC (1) 2007: 24-35 - [c24]Fabio Galasso, Joan Lasenby:
Shape from Texture of Developable Surfaces Via Fourier Analysis. ISVC (1) 2007: 702-713 - [c23]James Verrill, Joan Lasenby:
A fast mesh deformation tool for blender. SIGGRAPH Posters 2007: 24 - [c22]Chao-Hua Lee, Joan Lasenby:
A compact representation for articulated human motion. SIGGRAPH Posters 2007: 96 - 2006
- [c21]Chao-Hua Lee, Joan Lasenby:
3D human motion compression using wavelet decomposition. SIGGRAPH Research Posters 2006: 104 - 2005
- [c20]Jonathan Cameron, Joan Lasenby:
A real-time sequential algorithm for human joint localization. SIGGRAPH Posters 2005: 107 - 2004
- [j3]Maurice Ringer, Joan Lasenby:
A procedure for automatically estimating model parameters in optical motion capture. Image Vis. Comput. 22(10): 843-850 (2004) - [c19]Rich Wareham, Jonathan Cameron, Joan Lasenby:
Applications of Conformal Geometric Algebra in Computer Vision and Graphics. IWMM/GIAE 2004: 329-349 - [c18]Paris Kaimakis, Joan Lasenby:
Markerless motion capture with single and multiple cameras. ICIP 2004: 2607-2610 - 2002
- [c17]Maurice Ringer, Joan Lasenby:
A Procedure for Automatically Estimating Model Parameters in Optical Motion Capture. BMVC 2002: 1-10 - [c16]Maurice Ringer, Joan Lasenby:
Multiple Hypothesis Tracking for Automatic Optical Motion Capture. ECCV (1) 2002: 524-536 - [i1]Chris Doran, Anthony N. Lasenby, Joan Lasenby:
Conformal Geometry, Euclidean Space and Geometric Algebra. CoRR cs.CG/0203026 (2002) - 2001
- [c15]Maurice Ringer, Tom Drummond, Joan Lasenby:
Using occlusions to aid position estimation for visual motion capture. CVPR (2) 2001: 464-469 - 2000
- [c14]Joan Lasenby, Sahan Gamage, Maurice Ringer:
Modelling Motion: Tracking, Analysis and Inverse Kinematics. AFPAC 2000: 104-114 - [c13]Hiniduam Udugama Gamage Sahan Sajeewa, Joan Lasenby:
Estimation and Tracking of Articulated Motion Using Geometric Algebra. AFPAC 2000: 197-207 - [c12]Maurice Ringer, Joan Lasenby:
Modelling and Tracking Articulated Motion from Multiple Camera Views. BMVC 2000: 1-10 - [c11]Anthony N. Lasenby, Joan Lasenby:
Surface Evolution and Representation using Geometric Algebra. IMA Conference on the Mathematics of Surfaces 2000: 144-168
1990 – 1999
- 1999
- [j2]Joan Lasenby, Eduardo Bayro-Corrochano:
Analysis and Computation of Projective Invariants from Multiple Views in the Geometric Algebra Framework. Int. J. Pattern Recognit. Artif. Intell. 13(8): 1105-1122 (1999) - 1998
- [j1]Joan Lasenby, William J. Fitzgerald, Anthony N. Lasenby, C. J. L. Doran:
New Geometric Methods for Computer Vision: An Application to Structure and Motion Estimation. Int. J. Comput. Vis. 26(3): 191-213 (1998) - [c10]Antranig Basman, Joan Lasenby, Roberto Cipolla:
Applications of the "Creep-and-Merge" System: Corner Detection. BMVC 1998: 1-10 - [c9]Adam X. S. Stevenson, Joan Lasenby:
Decomplexifying the Absolute Conic. IVCNZ 1998: 23-28 - [c8]Christian Perwass, Joan Lasenby:
A Geometric Analysis of the Trifocal Tensor. IVCNZ 1998: 157-162 - 1997
- [c7]Eduardo Bayro-Corrochano, Joan Lasenby:
A Unified Language for Computer Vision and Robotics. AFPAC 1997: 219-234 - [c6]Joan Lasenby, Eduardo Bayro-Corrochano:
Computing 3D Projective Invariants from Points and Lines. CAIP 1997: 82-89 - [c5]Eduardo Bayro-Corrochano, Joan Lasenby, Gerald Sommer:
What can Grassmann, Hamilton and Clifford tell us about Computer Vision and Robotics. DAGM-Symposium 1997: 164-171 - [c4]Antranig Basman, Joan Lasenby, Roberto Cipolla:
Efficient Region Segmentation through "Creep-and-Merge". ICIAP (1) 1997: 223-230 - 1996
- [c3]Joan Lasenby, Eduardo Bayro-Corrochano, Anthony N. Lasenby, Gerald Sommer:
A new framework for the formation of invariants and multiple-view constraints in computer vision. ICIP (2) 1996: 313-316 - [c2]Eduardo Bayro-Corrochano, Joan Lasenby, Gerald Sommer:
Geometric algebra: a framework for computing point and line correspondences and projective structure using n uncalibrated cameras. ICPR 1996: 334-338 - [c1]Joan Lasenby, Eduardo Bayro-Corrochano, Anthony N. Lasenby, Gerald Sommer:
A new methodology for computing invariants in computer vision. ICPR 1996: 393-397
Coauthor Index
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