Dr Eric Tatham

Job: Principal Lecturer

Faculty: Technology

School/department: School of Computer Science and Informatics

Research group(s): Advanced Manufacturing Processes and Mechatronics Centre; Digital Building Heritage

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: +44 (0)116 207 8494

E: etatham@dmu.ac.uk

W: www.dmu.ac.uk

 

Personal profile

Eric holds a first class degree in Electronics and Computing and an MSc in Computer Science. His PhD was awarded by Loughborough University with a thesis concerning the visual integration of objects in augmented reality. His current research continues this interest in 3D graphics, computer vision, and augmented reality. 

His industrial background is in Production Management in the Graphic Arts' industry. He has lectured in 3D Computer Graphics and Software Engineering at various UK universities, including; Coventry University, the Open University, the University of Bradford, and De Montfort University, as well as fulfilling, at various times, management responsibilities including Head of the Technology Division at DMU. He has also guest lectured on postgraduate programmes at University College London and has recently completed a 4-year term as External Examiner for postgraduate programmes in the School of Computing, Informatics and Media at the University of Bradford.  

Eric is the author of two books on Computer Programming and has led a number of commercial software development projects ranging from the automated analysis of pipe survey video to augmented reality museum exhibits. His most recent work involves development of bespoke AR systems for mobile iOS platforms; iPhone and iPad.

Publications and outputs 

  • Inertial-Visual Pose Tracking Using Optical Flowaided Particle Filtering
    Inertial-Visual Pose Tracking Using Optical Flowaided Particle Filtering Moemeni, A.; Tatham, E. This paper proposes an algorithm for visual-inertial camera pose tracking, using adaptive recursive particle filtering. The method benefits from the agility of inertial-based and robustness of vision-based tracking. A proposal distribution has been developed for the selection of the particles, which takes into account the characteristics of the Inertial Measurement Unit (IMU) and the motion kinematics of the moving camera. A set of state-space equations are formulated, particles are selected and then evaluated using the corresponding features tracked by optical flow. The system state is estimated using the weighted particles through an iterative sequential importance resampling algorithm. For the particle assessment, epipolar geometry, and the characteristics of focus of expansion (FoE) are considered. In the proposed system the computational cost is reduced by excluding the rotation matrix from the process of recursive state estimations. This system implements an intelligent decision making process, which decides on the best source of tracking whether IMU only, hybrid only or hybrid with past state correction. The results show a stable tracking performance with an average location error of a few centimeters in 3D space.
  • Virtual Romans: Virtual Reconstruction of Roman Leicester (Ratae Corieltauvorum) 210AD
    Virtual Romans: Virtual Reconstruction of Roman Leicester (Ratae Corieltauvorum) 210AD Higgett, N.; Tatham, E.; Everitt, Dave; Baines, E.; Saucedo, G.
  • Validation of a semi-automated computer-aided technique for quantifying corneal vascularisation and scarring.
    Validation of a semi-automated computer-aided technique for quantifying corneal vascularisation and scarring. Tatham, A.; Tatham, E.; Prydal, J.
  • A framework for camera pose tracking using stochastic data fusion.
    A framework for camera pose tracking using stochastic data fusion. Moemeni, A.; Tatham, E.

Click here to view a full listing of Eric Tatham's publications and outputs.

Research interests/expertise

  • Augmented and Mixed Reality
  • Mobile Systems; 3D Computer Graphics
  • Novel Interactive Systems for Heritage Applications
  • Computer Vision and Image Processing.

Areas of teaching

  •  Computer Games Programming
  •  3D Computer Graphics and Animation

Qualifications

  •  PhD (Augmented Reality) Loughborough 2003
  •  MSc Computer Science (Hatfield)
  •  BA (Hons) Computing and Electronics (Open) – First Class

Membership of professional associations and societies

  •  Member of the British Computer Society (MBCS)
  •  Chartered IT Professional (CITP)

Current research students

  • Ms A Moemeni ; PhD Supervision.
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