Digital Media Research Group Computer Science Department University of Bristol Bristol, UK PowerPoint PPT Presentation

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Title: Digital Media Research Group Computer Science Department University of Bristol Bristol, UK


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Digital Media Research GroupComputer Science
DepartmentUniversity of BristolBristol, UK
Areas of Interest
  • Computer Vision, Image Processing, Speech,
  • Graphics and Animation

CV/IP People
Prof. Barry Thomas Dr. Majid Mirmehdi Dr. Neill
Campbell Dr. Andrew Calway 16 RAs and PhD
Students
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Research Focus
  • Image and video segmentation
  • Motion analysis and tracking
  • 3-D from 2-D images and video
  • Industrial Inspection
  • Medical Image Analysis
  • and more

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Locating text
Five statistical measures in small
neighbourhoods across the image
  • Histogram variance
  • Edge count
  • Continuous spatial density
  • Symmetrical edge distribution
  • Spread of edge angles

NN
Classification by a neural network
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Fronto-parallel Recovery
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Fronto-parallel Recovery

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Generating higher resolution images with an
active camera
  • Zoom in and pan over text region
  • High resolution image reconstructed from mosaic

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Tracking In Vitro Groundtruth and In vivo
Patella Tendon
Shortened Trajectory History
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Tile Abnormality Detection
Post Processing
Gabor Filters
WHT Method
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Texture Synthesis
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Automatic Identification of Exudative Retinopathy
  • Use computer vision techniques to diagnose
    diabetic eye disease
  • Identify exudates in images of the retina by
    image segmentation

Exudates
Typical retinal image
Normalisation
Contrast enhancement
Exudates
Colour segmentation
Segmentation
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Locating the Optic Disk
  • Locating the optic disk is important for further
    analysis
  • Use mathematical morphology and snakes to
    localise the disk

Optic disk
Blood vessels removed
Final snake location
Ground truth
Retinal image
Localised boundary
Hand-drawn boundary
Comparison
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Visual Surveillance and Understanding Human
Behaviour
  • Analysing CCTV surveillance data to detect
    behaviour and action
  • Predict the onset of anti-social behaviour
  • Raise the alarm
  • Bring CCTV channel to operators attention
  • zoom in and take a close up image
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