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
- CLOPEMA robotic cloth folding project.
- Design of programming languages capable of harnessing parallelism available in vector instruction sets and GPUs and multi-core processors.
- Vector Pascal Compilers for AVX and MIC style machines
- Lino for the SCC
- Oilfield visualisation
- Landmine visualisation using Ground Penetrating Radar
- Physical foundations of computability
- Active gaze control and cognitive vision system within a binocular robot sensor head.
- Regularisation of disparity maps based on intensity edge guided anisotropic diffusion.
- Analysis of face range map scans by means of dense vector fields.
- Combined 2D/3D intensity image and range scan analysis of free-form objects exhibiting biological variation.
- The Face3D consortium carrying out research into the analysis of three-dimensional facial dysmorphology.
- Reinforcement learning for clothing manipulation
- 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 Camarasa, Miss 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.
3D imaging system for clinical applications
Mowforth, P.H., Ayoub, A.F.
A three dimensional modelling for modern diagnosis and planning in maxillofacial surgery
Ayoub, A.F.
A three-dimensional imaging system for archiving dental study casts: a preliminary report
Ayoub, A.F.
Password cueing with cue(ink)blots
Renaud, K.V.
Smoothing disparity maps using intensity-edge guided anisotropic diffusion
Mabaar, M., and Siebert, J.P.
A content-adaptive method for fractional image rescaling based on constrained seam carving
Xiao, Y., Siebert, J.P.
Pyramidal multi-view PBR a point-based algorithm for multi-view multi-resolution rendering of large data sets from range image
Farooq, S.
A computational model of the log-polar retina mosaic for local feature extraction
Ram, I., and Siebert, J.P.
Point-based matching applied to images generated by log(z) and log(z+alpha) forms of artificial retina
Ram, I., and Siebert, J.P.
A view based approach for matching the 3D appearance of local features
Strachan, E., and Siebert, J.P.
Local multi-modal SIFT features in co-registered range and intensity images
Strachan, E., and Siebert, J.P.
Simulating the effects of laser dazzle on human vision
Williamson, C.A., Strachan, E., and Siebert, J.P.
Heinrich's idea of absract labour
Cockshott, P.
计算、复杂性与计划
Cockshott, W.
Probabilistic political economy and endogenous money
Cockshott, W.P.
Array languages and the N-body problem
Cockshott, W.
Exploiting query logs and field-based models to address term mismatch in an HIV/AIDS FAQ retrieval system
Thuma, E., Rogers, S.
Information technology: gateway to direct democracy in China and the world
Cockshott, W.P.
Bayesian approaches for mass spectrometry-based metabolomics
Rogers, S.
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