Nick Pears (N. E. Pears) - Publications

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International Conference and Workshop

  1. Combining 3D Morphable Models: A Large Scale Face-and-Head Model
      S. Ploumpis, H. Wang, N. E. Pears, W.A.P. Smith and S. Zafeiriou
      The IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR 2019)
      [PDF] [BibTeX]

  2. FocusNet: An Attention Based Fully Convolutional Network for Medical Image Segmentation
      Kaul, C., Manandhar, S. K. and Pears, N. E.
      International Symposium on Biomedical Imaging, 2019, (ISBI 2019)
      [PDF ] [BibTeX]

  3. Non-rigid 3D Shape Registration using an Adaptive Template
      H. Dai, N. E. Pears, and W. Smith
      Proc. 2018 PeopleCap Workshop, European. Conf. Computer Vision (ECCVw 2018)
      [DOI]

  4. Symmetric Shape Morphing for 3D Face and Head Modelling
      H. Dai, N. E. Pears, W. Smith and C. Duncan
      Proc. 2018 IEEE Int. Conf. Automatic Face and Gesture Recognition, pp. 91-97 (FG 2018)
      [DOI]

  5. A Data-augmented 3D Morphable Model of the Ear
      H. Dai, N. E. Pears and W. Smith
      Proc. 2018 IEEE Int. Conf. Automatic Face and Gesture Recognition, pp 404-408. (FG 2018)
      [DOI]

  6. A 3D Morphable Model of Craniofacial Shape and Texture Variation
      H. Dai, N. E. Pears, W. Smith and C. Duncan
      Proc. 2017 Int. Conf. Computer Vision, pp. 3104-3112 (ICCV 2017)
      [PDF] [BibTeX] [DOI]

  7. Symmetry-factored Statistical Modelling of Craniofacial Shape
      H. Dai, W. Smith, N. E. Pears, and C. Duncan
      Proc. 2017 PeopleCap Workshop, Int. Conf. Computer Vision pp. 786-794 (ICCVw 2017)
      [PDF][BibTeX] [DOI]

  8. A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis
      H. Dai, N. E. Pears and C. Duncan
      Proc. 2017 Conf. Medical Image Understanding and Analysis (MIUA 2017).
      Communications in Computer and Information Science, pages 731-742, vol 723. Springer, Cham
      [PDF] [DOI]

  9. Functional Faces: Groupwise Dense Correspondence using Functional Maps
      C. Zhang, W. Smith, A. Dessein, N. E. Pears, and H. Dai
      Proc. 2016 Int. Conf. Computer Vision and Pattern Recognition (CVPR 2016)
      [PDF] [BibTeX] [DOI]

  10. 3D Landmark Model Discovery from a Registered Set of Organic Shapes.
      C. Creusot, N. E. Pears, and J. Austin
      Proc. 2012 Conf. Computer Vision and Pattern Recognition Workshop on Point Cloud Processing, Providence, Rhode Island, USA. Jun 16-21, 2012, pp 57-64. (CVPRw)
      [PDF] [DOI] [BibTeX]

  11. Point-triplet Descriptors for 3D Facial Landmark Localisation
      M. Romero, N. E. Pears, A. Vilchis, J. C. Avila and O. Portillo
      Proc. 2011 IEEE Electronics, Robotics and Automotive Mechanics Conference (CERMA), November 15-18, Cuernavaca, Mexico.
      [PDF] [DOI][BibTeX]

  12. Automatic Make and Model Recognition from Frontal Images of Cars
      G. Pearce and N. E. Pears
      Proc. 8th IEEE Int. Conf. on Advanced Video and Signal Based Surveillance, Klagenfurt, Austria, Aug 30th - Sept 2nd 2011. (AVSS 2011)
      [PDF] [DOI][BibTeX]

  13. Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local Shapes.
      C. Creusot, N. E. Pears, and J. Austin
      Proc. 3DIMPVT 2011: The First Joint 3DIM/3DPVT Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission. Pages 204-211, Hangzhou, China, May 16-19, 2011
      [PDF] [DOI] [BibTeX]

  14. Mobile Device and Intelligent Display Interaction via Scale-Invariant Image Feature Matching.
      L. Herbert, N. E. Pears, D. Jackson and P. Olivier
      1st Int. Conf. Pervasive and Embedded Computing and Communication Systems (PECCS 2011)
      [PDF][Conf] [BibTeX]

  15. 3D Face Landmark Labelling.
      C. Creusot, N. E. Pears, and J. Austin
      Proc. 1st ACM Workshop on 3D Object Retrieval (3DOR'10), pages 27-32, Firenze, Italy, October 2010.
      [PDF] [DOI][BibTeX]

  16. Background Subtraction in Video using Recursive Mixture Models, Spatio-Temporal Filtering and Shadow Removal
      Z. Chen. N. E. Pears, M. Freeman and J. Austin
      Advances in Visual Computing : Lecture Notes in Computer Science (LNCS), vol 5876
      5th International Symposium on Visual Computing November 30 - December 2, 2009
      [PDF] [DOI][BibTeX]

  17. Road Vehicle Classification using Support Vector Machines
      Z. Chen. N. E. Pears, M. Freeman and J. Austin
      Proc. IEEE Int. Conf. on Intelligent Computing and Intelligent Systems, pages 214 - 218, Shanghai China, November 2009.
      [PDF] [DOI][BibTeX]

  18. Point-Pair Descriptors for 3D Facial Landmark Localisation
      M. Romero and N. E. Pears
      Proc 3rd IEEE Int. Conf on Biometrics: Theory, Applications and Systems 2009, Washington, USA. (BTAS'09)
      [PDF] [DOI][BibTeX]

  19. Landmark Localisation in 3D Face Data
      M. Romero and N. E. Pears
      Proc. 6th IEEE Int. Conf. on Advanced Video and Signal Based Surveillance, pages 73-78, Genoa, Italy, September 2-4, 2009.
      [PDF] [DOI][BibTeX]

  20. A Multi-Scale Piecewise Linear Feature Detector for Spectrogram Tracks
      T. Lampert , N. E. Pears, and S. O'Keefe
      Proc. 6th IEEE Int. Conf. on Advanced Video and Signal Based Surveillance, Genoa, Italy, September 2-4, 2009.
      [PDF] [DOI][BibTeX]

  21. Line Detection Methods for Spectogram Images
      T. Lampert , S. O'Keefe and N. E. Pears
      Proc 6th IAPR Int. Conf. on Computer Recognition Systems, 2009 (CORES'09).
      [PDF] [DOI][BibTeX]

  22. Motion Feature Combination for Human Action Recognition in Video
      H. Meng, N. E. Pears and C. Bailey
      Computer Vision and Computer Graphics: Theory and Applications, CCIS Springer book series, vol 21 (2009), pp 151-163.
      [PDF] [DOI][BibTeX]

  23. RBF Shape Histograms and their Application to 3D Face Processing
      N. E. Pears
      Proc. 8th IEEE Int. Conf. on Automatic Face and Gesture Recognition (FG'08)', September 17-19, 2008 - Amsterdam, The Netherlands.
      [PDF] [DOI][BibTeX]

  24. 3D Facial Landmark Localisation by Matching Simple Descriptors
      M. Romero and N. E. Pears
      Proc 2nd IEEE Int. Conf on Biometrics: Theory, Applications and Systems (BTAS'08), Washington, USA.
      [PDF] [DOI][BibTeX]

  25. Display Registration for Device Interaction
      N. E. Pears, P. L. Olivier and D. Jackson
      3rd Int. Conf. on Computer Vision Theory and Applications 2008 (VISAPP'08), 22 - 25 March, 2008, Funchal, Madeira, Portugal.
      [PDF][Conf] [BibTeX]

  26. Motion Information Combination for Fast Human Action Recognition
      H. Meng, N. E. Pears and C. Bailey
      Proc. 2nd Int. Conf. on Computer Vision Theory and Applications, VISAPP(2)'07, pp 21-28, Barcelona, Spain, March 2007.
      [PDF] [BibTeX]

  27. A Human Action Recognition System for Embedded Computer Vision Applications
      H. Meng, N. E. Pears and C. Bailey
      Proc. 3rd (CVPR'07) workshop on embedded computer vision, Minneapolis, Minnesota, USA, June 23rd 2007.
      [PDF] [DOI][BibTeX]

  28. Practical Single-View Metrology for Cuboids
      N. E. Pears, P. Wright and C. Bailey
      Proc. 2nd Int. Conf. on Computer Vision Theory and Applications, VISAPP(2)'07, pp 85-90, Barcelona, Spain, March 2007.
      [PDF] [BibTeX]

  29. An FPGA-Based System for Development of Real-Time Embedded Vision Applications
      H. Meng, N. E. Pears and C. Bailey
      Proc. HiPEAC Workshop on Reconfigurable Computing Ghent, BELGIUM, January 28, 2007.
      [PDF][BibTeX]

  30. Isoradius Contours: New Representations and Techniques for 3D Face Matching and Registration
      N. E. Pears and T. Heseltine
      Proc. 3rd Int. Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'06), pp 176-183, Chapel Hill, NC, USA
      [PDF] [DOI][BibTeX]

  31. Recognising Human Actions based on Motion Information and SVM
      H. Meng, N. E. Pears and C. Bailey
      Proc. 2nd IET Int. Conf On Intelligent Environments, Athens, Greece, 5-6 July 2006.
      [PDF] [DOI][BibTeX]

  32. Human Action Classification Using SVM_2K Classifier on Motion Features
      H. Meng, N. E. Pears and C. Bailey
      Proc. Int. Workshop on Multimedia, Content Representation, Classification and Security (LNCS 4105), Istanbul, Turkey, pp 458-465.
      [PDF] [DOI][BibTeX]

  33. Two-Stage Visual Localisation: Landmark-Based Pose Initialisation and Model-Based Pose Refinement
      Z. Chen, P. Pe. J. A. McDermid and N. E. Pears
      Proc. IEEE/RSJ Int. Conf. Intelleigent Robots and Systems, August 2005 (IROS'05), pp 3763-3769, Edmonton, Alberta, Canada.
      [PDF] [DOI][BibTeX]

  34. FPGA-based Video Processing System for Ubiquitous Applications
      H. Meng, N. E. Pears and C. Bailey
      IEE symposium on ubiquitous systems, London, 2005
      [PDF]

  35. Plane Segmentation from Two Views in Reciprocal-polar Image Space
      Z. Chen, N. E. Pears, B. Liang and J. A. McDermid
      Proc. Int. Conf. Image Analysis and Recognition, 2004 (ICIAR'04), LCNS 3212 part I, pp 638-643.
      [PDF] [BibTeX]

  36. Combining Multiple Face Recognition Systems using Fisher's Linear Discriminant
      T. Heseltine, N. E. Pears and J. Austin
      Biometric Technology for Human Identification, SPIE vol. 5404, 2004, pp 470-481
      [PDF] [DOI][BibTeX]

  37. Three-Dimensional Face Recognition using Surface Space Combinations
      T. Heseltine, N. E. Pears and J. Austin
      Proc. British Machine Vision Conference, 2004 (BMVC'04).
      [PDF] [BibTeX]

  38. Three-Dimensional Face Recognition: A Fishersurface Approach
      T. Heseltine, N. E. Pears and J. Austin
      Proc. Int. Conf. Image Analysis and Recognition, 2004. LCNS 3212 part II, pp684-691. ICIAR'04, Porto, Portugal, September 29-October 1, 2004.
      [PDF] [BibTeX]

  39. Three-Dimensional Face Recognition: An Eigensurface Approach
      T. Heseltine, N. E. Pears and J. Austin
      Proc. IEEE Int. Conf. Image Processing, pp 1421-1424, Singapore, 2004. (ICIP'04).
      [PDF] [DOI][BibTeX]

  40. Combining Multiple Face Recognition Systems using Fishers Linear Discriminant
      T. Heseltine, N. E. Pears and J. Austin
      Proc. SPIE 5404, 470 (2004) Biometric Technology for Human Identification.
      [PDF] [DOI] [BibTeX]

  41. Two-View Metrology
      B. Liang, N. E. Pears, and Z. Chen
      Proc. Int. Conf. on Pattern recognition, 2004 (ICPR'04), pp 96-99, Cambridge, UK.
      [PDF] [DOI][BibTeX]

  42. Affine Height Landscapes for Monocular Mobile Robot Obstacle Avoidance
      B. Liang, N. E. Pears and Z. Chen
      Proc. Intelligent Autonomous Systems 8 (2004), p 863-872, F Groen et al (eds), IOS press, March 10-13, 2004, Amsterdam.
      [PDF][BibTeX]

  43. Robust, Dependable Model-Based Visual Localisation for Mobile Robots
      N. E. Pears, S. K. Crook-Dawkins and J. A. McDermid
      Proc. 3rd IARP-IEEE/RAS-EURON Joint Workshop on Technical Challenges for Dependable Robots in Human Environments, 2004.
      [PDF][BibTeX]

  44. Face Recognition: A Comparison of Appearance-Based Approaches
      T. Heseltine, N. E. Pears, J. Austin and Z. Chen
      Proc. 7th Int. Conf. on Digital Image Computing: techniques and applications 2003 (DICTA'03), Sydney, pp 849-859
      [PDF]

  45. Epipole Estimation under Pure Translation
      Z. Chen, N. E. Pears, J. McDermid and T. Heseltine
      Proc. 7th Int. Conf. on Digital Image Computing: techniques and applications 2003 (DICTA'03), Sydney, pp 849-859
      [PDF]

  46. Ground Plane Segmentation from Multiple Visual Cues
      B. Liang and N. E. Pears
      Proc. IEEE Int. Conf. Image and Graphics 2002 (ICIG'02)
      [PDF]

  47. Evaluation of Image Pre-processing Techniques for Eigenface-Based Face Recognition
      T. Heseltine, N. E. Pears and J. Austin
      Proc. IEEE Int. Conf. Image and Graphics 2002 (ICIG'02)
      [PDF]

  48. Visual Navigation using Planar Homographys
      B. Liang and N. E. Pears
      Proc. 2002 IEEE International Conference on Robotics and Automation (ICRA'02).
      [PDF]

  49. Ground Plane Segmentation for Mobile Robot Visual Navigation
      N. E. Pears and B. Liang
      Proceedings of the 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'01), pp 1513-1518.
      [PDF]

  50. Multi-Cue Vision, Novel Architectures and High Integrity Concepts for Dependable Robots
      N. E. Pears, J. Austin, and J. A. McDermid
      Proc. 1st IARP/IEEE-RAS Joint Workshop on the Technical Challenge for Dependable Robots in Human Environments, 2001, paper IV-3
      [PDF]

  51. Range Feature Extraction during Active Sensor Motion
      N. E. Pears
      Proc. 1997 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'97), Vol 2, pp 572-578.
      [PDF]

  52. An Intelligent Active Range Sensor for Vehicle Guidance: System Overview
      N. E. Pears
      Proc. of the 1996 IEEE/RSJ International Conference on Intelligent Robots and Systems, Vol 1, pp 81-88.
      [PDF] [BibTeX]

  53. An Optical Range Sensor for Mobile Robot Guidance
      N. E. Pears and P. J. Probert
      Proc. 1993 IEEE International Conference on Robotics and Automation (ICRA'93), Vol 3, pp 659-664.
      [PDF]

  54. A Lateral-Effect Photodiode Based Scanning Sensor for Autonomous Vehicle Obstacle Avoidance
      N. E. Pears and P. J. Probert
      Proceedings of the 1st IFAC International Conference on Intelligent Autonomous Vehicles, pp 65-70.
      [PDF]

  55. Optical Range Sensors: Accuracy and Performance of Sensors using Modulated Light
      P. J. Probert, M. D. Adams and N. E. Pears Proc. 1993 IASTED Int. Conf. on Robotics and Manufacturing, pp 217-219.
      [PDF](Scanned)

  56. Active Triangulation Rangefinder Design for Mobile Robots
      N. E. Pears and P. J. Probert
      Proc. of the 1992 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS'92) Vol 3, pp 2047-2052.
      [PDF]

Journal Papers

  1. Statistical Modeling of Craniofacial Shape and Texture
      H. Dai, N. E. Pears, W. Smith and C. Duncan
      International Journal of Computer Vision, 128(2), pp 547-571, 2019
      [Springer PDF Link][DOI][BibTeX]

  2. Augmenting a 3D Morphable Model of the Human Head with High Resolution Ears
      H. Dai, N. E. Pears and W. Smith
      Pattern Recognition Letters (2019)
      [DOI]

  3. Modelling of Orthogonal Craniofacial Profiles
      H. Dai, N. E. Pears and C. Duncan
      Journal of Imaging, vol 3, number 55 (2017)
      [PDF][DOI][BibTeX]

  4. A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes
      C. Creusot, N. E. Pears, J. Austin.
      Int. Journ. Computer Vision, Volume 102, Issue 1 (2013), Pages 146-179
      [PDF] [DOI][BibTeX]

  5. A Gaussian Mixture Model and Support Vector Machine Approach to Vehicle Type and Colour Classification
      Z. Chen, N. E. Pears, M. Freeman and J. Austin.
      IET Intelligent Transport Systems (2013)
      [PDF] [DOI][BibTeX]

  6. From 3D Point Clouds to Pose Normalised Depth Maps
      N. E. Pears, T. Heseltine and M. Romero.
      Int. Journ. Computer Vision, Volume 89, Issue 2 (2010), Pages 152-176.
      Special issue on 3D object retrieval.
      [PDF] [DOI][BibTeX]

  7. Smartphone Interaction with Registered Displays
      N. E. Pears, P. Olivier and D. Jackson.
      IEEE Pervasive Computing, vol 8, no 2 (April-June 2009), pp 14-21.
      Special issue on Smarter Phones.
      [PDF] [DOI][BibTeX]

  8. Descriptive Temporal Template Features for Visual Motion Recognition
      H. Meng and N. E. Pears.
      Pattern Recognition Letters, vol 30, issue 12 (2009), pp 1049-1058.
      Special issue on Image/Video-Based Pattern Analysis and HCI applications.
      [PDF] [DOI][BibTeX]

  9. Real Time Human Action Recognition on an Embedded, Reconfigurable Video Processing Architecture
      H. Meng, M Freeman, N. E. Pears and C. Bailey.
      Journal of Real-Time Image Processing, volume 3, number 3, (2008), pages 163-176.
      [PDF] [DOI] [BibTeX]

  10. Three Dimensional Face Recognition using Combinations of Surface Feature Map Subspace Components
      T. Heseltine, N E Pears and J Austin.
      Image and Vision Computing, Volume 26, Issue 3, (2008), pages 382-396.
      [PDF] [DOI] [BibTeX]

  11. Monocular Obstacle Detection using Reciprocal-Polar Rectification
      Z. Chen, N. E. Pears and B Liang
      Image and Vision Computing, Volume 24, Issue 12, (Dec 2006), pp 1301-1312.
      [PDF] [DOI][BibTeX]

  12. A Method of Visual Metrology from Uncalibrated Images
      Z. Chen, N. E. Pears and B. Liang
      Pattern Recognition Letters, vol 27, issue 13 (2006), pp 1447-1456.
      [PDF] [DOI][BibTeX]

  13. Robust Mobile Robot Visual Navigation using Multiple Features
      N. E. Pears, B. Liang and Z. Chen
      EURASIP Journal on Advances in Signal Processing, vol 2005 (2005), Issue 14, pp 2250-2259.
      Special issue on Intelligent Vision Systems.
      [PDF] [DOI][BibTeX]

  14. 3D Euclidean Reconstruction of Buildings from Uncalibrated Image Sequences
      Z. Chen, C. Wu, Y. Liu and N. E. Pears
      International Journal of Shape Modelling, vol 10, no 1 (June 2004), pp 115-131.
      [PDF] [DOI][BibTeX]

  15. Mobile Robot Tracking of Preplanned Paths
      N. E. Pears
      Advanced Robotics, Vol. 15, number 1 (2001), pp 97-107.
      [PDF][DOI][BibTeX]

  16. Feature Extraction and Tracking for Scanning Range Sensors
      N. E. Pears
      Robotics and Autonomous Systems, vol 33, number 1 (2000), pp 43-58.
      [PDF] [DOI][BibTeX]

  17. Modeling and Simulation of a Scanning Range Sensor for Robotic Applications
      N. E. Pears
      Advanced Robotics, vol 13, number 5 (1999), pp 549-562.
      [PDF] [DOI][BibTeX]

  18. An Intelligent Active Range Sensor for Mobile Robot Guidance
      N. E. Pears and P. J. Probert
      Int. Journ. Mechatronics, Vol 6, No 7 (1996), pp 733-759.
      [PDF] [DOI][BibTeX]

  19. The Steering Control of an Experimental Autonomous Vehicle
      N. E. Pears and J. R. Bumby
      IEE Trans. Inst. Measurement and Control, Vol 13, No 4 (1991), pp 190-200.
      [PDF] [DOI][BibTeX]

  20. Guidance of an Autonomous Guided Vehicle using Low-level Ultrasonic and Odometry Sensor Systems
      N. E. Pears and J. R. Bumby
      IEE Trans. Inst. Measurement and Control, Vol 11, No 5 (1989), pp 231-248.
      [PDF] [DOI][BibTeX]


Edited Books

  1. 3D Imaging, Analysis and Applications
      Nick Pears, Yonghuai Liu, Peter Bunting (Eds)
      Springer, June 2012
      [DOI] [Springer page]

Book Chapters

  1. Introduction [to 3D Imaging, Analysis and Applications]
      Reinhard Koch, Nick Pears and Yonghuai Liu
      3D Imaging, Analysis and Applications, Chapter 1, Nick Pears, Yonghuai Liu, Peter Bunting (Eds)
      Springer, 2012
      [Springer page]

  2. Passive 3D Imaging
      Stephen Se and Nick Pears
      3D Imaging, Analysis and Applications, Chapter 2, Nick Pears, Yonghuai Liu, Peter Bunting (Eds)
      Springer, 2012
      [Springer page]

  3. 3D Face Recognition
      Ajmal Mian and Nick Pears
      3D Imaging, Analysis and Applications, Chapter 8, Nick Pears, Yonghuai Liu, Peter Bunting (Eds)
      Springer, 2012
      [Springer page]

  4. Motion History Histograms for Human Action Recognition
      H. Meng, N. E. Pears, M. J. Freeman and C. Bailey
      Embedded Computer Vision, Chapter 7, Kisacanin, Branislav; Bhattacharyya, Shuvra S.; Chai, Sek (Eds.), Springer (2009), pp 139-162.
      [PDF] [DOI][BibTeX]

  5. Optical Triangulation Range Sensors for Vehicle Manoeuvres ,
      N. E. Pears
      Advanced Guided Vehicles, Chapter 6, S. Cameron and P. Probert Editors, Series in Robotics and Automated Systems, World Scientific Publishing Co (1994), pp 85-106.
      [PDF][Book][BibTeX]


arXiv e-Print archive

  1. SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing
      Chaitanya Kaul, Nick Pears, Suresh Manandhar
      arXiv, 18 May, 2019
      [arXiv]

  2. Combining 3D Morphable Models: A Large scale Face-and-Head Model
      Stylianos Ploumpis, Haoyang Wang, Nick Pears, William A. P. Smith, Stefanos Zafeiriou
      arXiv, 8 February, 2019
      [arXiv]

  3. FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation
      Chaitanya Kaul, Nick Pears, Suresh Manandhar
      arXiv, 8 February, 2019
      [arXiv]

  4. Vehicle classification using ResNets, localisation and spatially-weighted pooling
      Rohan Watkins, Nick Pears, Suresh Manandhar
      arXiv, 15 October, 2018
      [arXiv]

  5. Non-rigid 3D Shape Registration using an Adaptive Template
      H. Dai, N. E. Pears and W.A.P Smith
      arXiv, 21st March 2018
      [arXiv]

  6. Automatic 3D modelling of craniofacial form
      N. E. Pears and C. Duncan
      arXiv, 21st Jan 2016
      [arXiv]



Departmental Technical Reports

  1. A Review and Characterization of ICP-based Symmetry Plane Localisation in 3D Face Data
      C. Padia and N. E. Pears
      Technical Report YCS 463 (2011), Department of Computer Science, University of York.
      [PDF][BibTeX]

  2. The Utility of 3D Landmarks for Arbitrary Pose Face Recognition
      J. Walkden and N. E. Pears
      Technical Report YCS 460 (2010), Department of Computer Science, University of York.
      [PDF][BibTeX]

  3. Isoradius Contours: New representations and techniques for 3D object registration and matching
      N. E. Pears and T. Heseltine
      Technical Report YCS 386 (2005), Department of Computer Science, University of York.
      [PDF][BibTeX]

  4. An Intelligent Range Sensor: Design Calibration and Processing for Mobile Robot Guidance
      N. E. Pears
      Cambridge University Engineering Department Technical Report, 1996, CUED/F-INFENG/TR 262.



Abstracts

  1. A Morphable Model Of the Human Head Vaidating the Outcomes of An Age-Dependant Scaphocephaly Correction
      B. Robertson, H. Dai, N. E. Pears and C. Duncan
      Abstract in International Journal of Oral and Maxillofacial Surgery (vol 46, p68, 2017).
      [DOI]

  2. A Morphable Profile Model of the Human Head as an Outcome Tool for Craniosynostosis Surgery
      Christian Duncan, Rachel Armstrong (Alder Hey Hospital, Liverpool) and Nick E. Pears
      16th Biennial Congress of the International Society of Craniofacial Surgery (ISCFS), Tokyo Bay, Japan, September 14th - 18th, 2015.
      Poster abstract P74 (page e91) in British Journal of Oral and Maxillofacial Surgery 54 (2016).
      [DOI]



Editorials

  1. Editorial: Special Issue on Machine Vision
      Edwin Hancock, Richard Wilson, William A. P. Smith, Adrian Bors and Nick Pears.
      International Journal of Computer Vision
      Volume 126, Issue 12, pp 1267-1268, December 2018.
      [DOI]



Funded Project Technical Reports

  1. AMADEUS Videoware: DTI Project Final Report
      N. E. Pears, H. Meng, M. Freeman and C. Bailey, 2007

  2. AMADEUS FAR: DTI project final report
      S. Alwis, N. E. Pears and J. Austin

  3. Safer Landing, Approach and Taxi System (SLATS)
      S. A. Broatch, J. Taylor, P. Norman, G. Jones, N. E. Pears, S. Mathewson, J. Payne and G. M. Hogg
      DTI final project report, 2005.

  4. SLATS: Obstacle Detection
      Z. Chen and N. E. Pears
      SLATS partner final report to DTI, 2005

  5. Safety Issues for Localisation and Obstacle Avoidance
      N. E. Pears and S. K. Crook-Dawkins
      DTI interim report

  6. Robust Adaptive Visual Navigation using Multiple Diverse Visual Cues
      N. E. Pears and B. Liang
      Final EPSRC report (IGR) for the VISNAV project, 2002.
      [PDF]



Other Publications

  1. Image Recognition (patent, 2005)
      T. Heseltine, N. E. Pears and J. Austin
      2005

  2. The Low-level Guidance of an Experimental Autonomous Vehicle
      N. E. Pears
      PhD Thesis, University of Durham, 1989.


Nick Pears