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Nick Pears
Nick Pears
Professor of Computer Vision, Department of Computer Science, University of York, UK
Verified email at york.ac.uk - Homepage
Title
Cited by
Cited by
Year
A machine-learning approach to keypoint detection and landmarking on 3D meshes
C Creusot, N Pears, J Austin
International journal of computer vision 102 (1-3), 146-179, 2013
1542013
Focusnet: An attention-based fully convolutional network for medical image segmentation
C Kaul, S Manandhar, N Pears
2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019
1502019
A human action recognition system for embedded computer vision application
H Meng, N Pears, C Bailey
2007 IEEE conference on computer vision and pattern recognition, 1-6, 2007
1482007
Automatic make and model recognition from frontal images of cars
G Pearce, N Pears
2011 8th IEEE International conference on advanced video and signal based …, 2011
1322011
A 3d morphable model of craniofacial shape and texture variation
H Dai, N Pears, WAP Smith, C Duncan
Proceedings of the IEEE international conference on computer vision, 3085-3093, 2017
1232017
3D imaging, analysis and applications
Y Liu, N Pears, PL Rosin, P Huber
Springer, 2020
1182020
Three-dimensional face recognition: An eigensurface approach
T Heseltine, N Pears, J Austin
2004 International Conference on Image Processing, 2004. ICIP'04. 2, 1421-1424, 2004
1082004
Road vehicle classification using support vector machines
Z Chen, N Pears, M Freeman, J Austin
2009 IEEE International Conference on Intelligent Computing and Intelligent …, 2009
1042009
Face recognition: A comparison of appearance-based approaches
T Heseltine, N Pears, J Austin, Z Chen
Proc. VIIth Digital image computing: Techniques and applications 1, 2003
972003
Ground plane segmentation for mobile robot visual navigation
N Pears, B Liang
Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and …, 2001
972001
Visual navigation using planar homographies
B Liang, N Pears
Proceedings 2002 IEEE International Conference on Robotics and Automation …, 2002
912002
Towards a complete 3D morphable model of the human head
S Ploumpis, E Ververas, E O'Sullivan, S Moschoglou, H Wang, N Pears, ...
IEEE transactions on pattern analysis and machine intelligence 43 (11), 4142 …, 2020
872020
Evaluation of image preprocessing techniques for eigenface-based face recognition
T Heseltine, N Pears, J Austin
Second International Conference on Image and Graphics 4875, 677-685, 2002
872002
Three-dimensional face recognition using combinations of surface feature map subspace components
T Heseltine, N Pears, J Austin
Image and Vision Computing 26 (3), 382-396, 2008
852008
Statistical modeling of craniofacial shape and texture
H Dai, N Pears, W Smith, C Duncan
International Journal of Computer Vision 128, 547-571, 2020
812020
Smart phone interaction with registered displays
N Pears, DG Jackson, P Olivier
IEEE Pervasive Computing, 2009
812009
Combining 3d morphable models: A large scale face-and-head model
S Ploumpis, H Wang, N Pears, WAP Smith, S Zafeiriou
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
802019
Three-dimensional face recognition: A fishersurface approach
T Heseltine, N Pears, J Austin
International Conference Image Analysis and Recognition, 684-691, 2004
722004
3D Imaging
N Pears, Y Liu, P Bunting
Analysis and Applications. Springer 1, 2012
562012
From 3D point clouds to pose-normalised depth maps
N Pears, T Heseltine, M Romero
International Journal of Computer Vision 89, 152-176, 2010
562010
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