Computer Vision & Graphics

Computer-based analysis of images to extract information and classify their contents is becoming increasingly important in all walks of life. For example, by combining the science of 'photogrammetry' (measurement using cameras) with digital camera technology it becomes possible to capture 3D models of people, animals and objects that are metrically accurate and photo-realistic in appearance. Furthermore, it is possible to analyse and animate these models by computer for applications such as virtual actors or sports science.

The Computer Vision and Graphics group, CVG, in the Department of Computing Science, investigates fundamental issues of how to analyse images and also how apply this knowledge within practical applications. Our projects cover all aspects of human body modelling in 3D, including animation and surface skin modelling. This approach opens a wide array of application areas such as; creative media, engineering, medicine, textiles & clothing, military & security, internet & communications, forensic and fine art. A key objective of the work of the group is to combine 3D measurement and modelling techniques with image understanding approaches to construct cognitive robot vision systems that actively search their operating environments using passive digital cameras.

CVG research topics

  • Medical and veterinary analysis of 3D surface anatomy to assess change following surgical intervention and surgical outcome prediction.
  • Object recognition from 2D & 3D information extracted from static images and moving image sequences.
  • Biologically motivated computer vision, including computational models of the mammalian retina and the early visual pathway for efficient and robust image analysis and interpretation.
  • Active binocular robot vision systems, able to operate in unstructured and cluttered real-world environments searching and locating visual cues and objects required in autonomous applications such as unmanned vehicle navigation, flexible manufacture, telemedicine and suspicious object inspection.
  • 2D and 3D image compression.
  • 3D electron tomography.
  • Parallelisation of optical flow.
  • Hiearchical visual featue extraction.

Academic Staff: Dr W Paul Cockshott, Dr J. Paul Siebert.

Research Fellows: Dr John W Patterson.

Research Assistants: Dr Gerardo Aragon CamarasaMiss Susanne B. Oehler Mr Euan Strachan

Research Students: Ms Smantha Mullholand Mrs Maha Maabar, Ala Al-afeef , Tian Xu,  Li Sun, Yuan Liu

A heuristic-based approach for flattening wrinkled clothes
Siebert, J.P. (2013) A heuristic-based approach for flattening wrinkled clothes. In: Towards Autonomous Robotic Systems, TAROS 2013, 28-30 Aug 2013, Oxford, UK.

3D imaging system for clinical applications
Mowforth, P.H., Ayoub, A.F. , Jin, J., Moos, K.F., Niblett, T.B., Siebert, J.P. , Urquhart, C.W., and Wray, D. (1995) 3D imaging system for clinical applications. Medical Electronics , 26 . pp. 59-63. ISSN 1520-8427

A three dimensional modelling for modern diagnosis and planning in maxillofacial surgery
Ayoub, A.F. , Moos, K.F., and Siebert, J.P. (1996) A three dimensional modelling for modern diagnosis and planning in maxillofacial surgery. International Journal of Adult Orthodontics and Orthognathic Surgery , 11 (3). pp. 225-233. ISSN 0742-1931

A three-dimensional imaging system for archiving dental study casts: a preliminary report
Ayoub, A.F. , Moos, K.F., and Siebert, J.P. (1997) A three-dimensional imaging system for archiving dental study casts: a preliminary report. International Journal of Adult Orthodontics and Orthognathic Surgery , 12 (1). pp. 79-84. ISSN 0742-1931

Password cueing with cue(ink)blots
Renaud, K.V. , McBryan, T. , and Siebert, J.P. (2008) Password cueing with cue(ink)blots. In: IADIS Computer Graphics and Visualization, 24-26 Jul 2008, Amsterdam, The Netherlands.

Smoothing disparity maps using intensity-edge guided anisotropic diffusion
Mabaar, M., and Siebert, J.P. (2008) Smoothing disparity maps using intensity-edge guided anisotropic diffusion. In: Medical Image Understanding and Analysis, 3 Jul 2008, Dundee, UK.

A content-adaptive method for fractional image rescaling based on constrained seam carving
Xiao, Y., Siebert, J.P. , and Cockshott, W.P. (2008) A content-adaptive method for fractional image rescaling based on constrained seam carving. In: IAENG International Conference on Imaging Engineering, 19-21 Mar 2008, Hong Kong, China.

Pyramidal multi-view PBR a point-based algorithm for multi-view multi-resolution rendering of large data sets from range image
Farooq, S. , and Siebert, J.P. (2009) Pyramidal multi-view PBR a point-based algorithm for multi-view multi-resolution rendering of large data sets from range image. In: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 5-8 Feb 2009, Lisbon, Portugal.

A computational model of the log-polar retina mosaic for local feature extraction
Ram, I., and Siebert, J.P. (2010) A computational model of the log-polar retina mosaic for local feature extraction. In: 10th International Conference on Intelligent Systems Design and Applications, 29 Nov - 1 Dec 2010, Cairo, Egypt.

Point-based matching applied to images generated by log(z) and log(z+alpha) forms of artificial retina
Ram, I., and Siebert, J.P. (2011) Point-based matching applied to images generated by log(z) and log(z+alpha) forms of artificial retina. In: Third World Congress on Nature and Biologically Inspired Computing (NaBIC2011), 19-21 Oct 2011, Salamanca, Spain.

A view based approach for matching the 3D appearance of local features
Strachan, E., and Siebert, J.P. (2013) A view based approach for matching the 3D appearance of local features. In: International Conference on Image Analysis and Recognition ICIAR 2013, 26-28 Jun 2013, Póvoa de Varzim, Portugal.

Local multi-modal SIFT features in co-registered range and intensity images
Strachan, E., and Siebert, J.P. (2012) Local multi-modal SIFT features in co-registered range and intensity images. In: Eighth International Conference on Signal Image Technology and Internet Based Systems (SITIS), 25-29 Nov 2012, Naples, Italy.

Simulating the effects of laser dazzle on human vision
Williamson, C.A., Strachan, E., and Siebert, J.P. (2013) Simulating the effects of laser dazzle on human vision. In: International Laser Safety Conference 2013, 18-21 Mar 2013, Orlando, FL, USA.

Heinrich's idea of absract labour
Cockshott, P. (2013) Heinrich's idea of absract labour. Critique: A Journal of Socialist Theory , 41 (2). pp. 287-297. ISSN 0301-7605 (doi:10.1080/03017605.2013.805004 )

计算、复杂性与计划
Cockshott, W. , and Cottrell, A. (2009) 计算、复杂性与计划. Technical Report. Shangdong University, Shangdong, China.

Probabilistic political economy and endogenous money
Cockshott, W.P. , and Cottrell, A. (2008) Probabilistic political economy and endogenous money. In: Probabilistic Political Economy Conference, 14-17 Jul 2008, London, UK. (Unpublished)

Array languages and the N-body problem
Cockshott, W. , Keir, P., and Gdura, Y. (2013) Array languages and the N-body problem. Concurrency and Computation: Practice and Experience . ISSN 1532-0626 (doi:10.1002/cpe.3088 ) (In Press)

Exploiting query logs and field-based models to address term mismatch in an HIV/AIDS FAQ retrieval system
Thuma, E., Rogers, S. , and Ounis, I. (2013) Exploiting query logs and field-based models to address term mismatch in an HIV/AIDS FAQ retrieval system. In: Proceedings of 18th International Conference on Application of Natural Language to Information Systems (NLDB2013), 19-21 June 2013, University of Salford, MediaCityUK. University of Salford, Salford, UK. (In Press)

Information technology: gateway to direct democracy in China and the world
Cockshott, W.P. , and Renaud, K. (2013) Information technology: gateway to direct democracy in China and the world. International Critical Thought , 3 (1). pp. 76-97. ISSN 2159-8282 (doi:10.1080/21598282.2013.761448 )

Bayesian approaches for mass spectrometry-based metabolomics
Rogers, S. , Scheltema, R.A., Barrett, M. , and Breitling, R. (2011) Bayesian approaches for mass spectrometry-based metabolomics. In: Stumpf, M.P.H., Balding, D.J. and Girolami, M. (eds.) Handbook of Statistical Systems Biology. John Wiley & Sons, Chichester, UK, pp. 467-476. ISBN 9780470710869

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