| Locating facial features with an extended active shape model S Milborrow, F Nicolls Computer Vision–ECCV 2008, 504-513, 2008 | 900 | 2008 |
| The MUCT landmarked face database S Milborrow, J Morkel, F Nicolls PRASA 2010, 179-184, 2010 | 363 | 2010 |
| Multiview active shape models with sift descriptors for the 300-w face landmark challenge S Milborrow, T Bishop, F Nicolls Proceedings of the IEEE International Conference on Computer Vision …, 2013 | 255 | 2013 |
| Preoperative three-dimensional model creation of magnetic resonance brain images as a tool to assist neurosurgical planning BS Spottiswoode, DJ Van den Heever, Y Chang, S Engelhardt, ... Stereotactic and functional neurosurgery 91 (3), 162-169, 2013 | 122 | 2013 |
| Velocity and acceleration before contact in the tackle during rugby union matches S Hendricks, D Karpul, F Nicolls, M Lambert Journal of sports sciences 30 (12), 1215-1224, 2012 | 93 | 2012 |
| Shape-from-silhouette with two mirrors and an uncalibrated camera K Forbes, F Nicolls, G De Jager, A Voigt Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006 | 93 | 2006 |
| Characterisation of power system events on South African transmission power lines UJ Minnaar, CT Gaunt, F Nicolls Electric power systems research 88, 25-32, 2012 | 83 | 2012 |
| Acinoset: A 3d pose estimation dataset and baseline models for cheetahs in the wild D Joska, L Clark, N Muramatsu, R Jericevich, F Nicolls, A Mathis, ... 2021 IEEE international conference on robotics and automation (ICRA), 13901 …, 2021 | 53 | 2021 |
| Tracking the cheetah tail using animal-borne cameras, GPS, and an IMU A Patel, B Stocks, C Fisher, F Nicolls, E Boje IEEE sensors letters 1 (4), 1-4, 2017 | 37 | 2017 |
| Automating transmission-line fault root cause analysis UJ Minnaar, F Nicolls, CT Gaunt IEEE Transactions on Power Delivery 31 (4), 1692-1700, 2015 | 37 | 2015 |
| Interactive image segmentation using graph cuts M Kulkarni, F Nicolls PRASA 2009, 99-104, 2009 | 20 | 2009 |
| Use of a general imaging model to achieve predictive autofocus in the scanning electron microscope FC Nicolls, G De Jager, BT Sewell Ultramicroscopy 69 (1), 25-37, 1997 | 14 | 1997 |
| Monte-Carlo simulation of a slot-scanning X-ray imaging system M Kulkarni, R Dendere, F Nicolls, S Steiner, TS Douglas Physica Medica 32 (1), 284-289, 2016 | 13 | 2016 |
| Active object recognition using vocabulary trees N Govender, J Claassens, F Nicolls, J Warrell 2013 IEEE Workshop on Robot Vision (WORV), 20-26, 2013 | 13 | 2013 |
| Distortion correction method for linear scanning X-ray system MP Beets, FC Nicolls, G De Jager US Patent 7,873,142, 2011 | 13 | 2011 |
| Visual hull surface estimation P Milne, F Nicolls, G de Jager PRASA 2004, 13-18, 2004 | 9 | 2004 |
| Uniformly most powerful cyclic permutation invariant detection for discrete-time signals F Nicolls, G de Jager 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001 | 9 | 2001 |
| Automatic classification of medical X-ray images with convolutional neural networks X Nkwentsha, A Hounkanrin, F Nicolls 2020 International SAUPEC/RobMech/PRASA Conference, 1-4, 2020 | 8 | 2020 |
| An optical tracker for the maritime environment AK Bachoo, F Le Roux, F Nicolls Signal Processing, Sensor Fusion, and Target Recognition XX 8050, 571-580, 2011 | 8 | 2011 |
| The development of a predictive autofocus algorithm using a general image formation model FC Nicolls | 8 | 1995 |
Stephen MilborrowUniversity of Cape TownVerified email at sonic.net
