Computer Graphics and Image Processing Group

CGIP Research Group

Welcome!

This CGIP research group focusses on the development of novel and efficient algorithms for various applications in the following areas:

Computer Graphics

  • Real-time rendering: GPU algorithms and implementations, Spherical harmonic lighting
  • Facial expression analysis, recognition, mapping: Deformation tables, Expression interpolation
  • Crowd simulation: Rendering of large crowds, Behaviour modelling, Acceleration algorithms
  • Non-photorealistic rendering: Painterly rendering, Texture based NPR, Stroke based NPR
  • Fluid modelling and rendering: Simulations using Navier-Stokes equations, Level sets, Particle systems

Image Processing

  • Moment based image features: Moment invariants, Fast computation of moments, Local Tchebichef Moments
  • Texture analysis: Texture feature descriptors, Texture segmentation methods in biomedical image analysis
  • Multifractal analysis: Multi-fractal spectra, Multi-fractal decomposition
  • Biomedical image analysis: HRCT, WSI and tissue image analysis, volumetric reconstructions, biomedical image classification
  • Parallel computations: OpenCL implementations of image processing algorithms
News (2017)

PhD Completion:
  • May 2017: Huidong Bai successfully completed the oral examination and qualified for the award of PhD.
  • Aug 2017: Musibau Ibrahim successfully qualified for the award of PhD.
Conference Presentations:
  • Tieta Putri, "Artistic Style Characterization of Vincent Van Gogh’s Paintings using Extracted Features from Visible Brush Strokes", ICPRAM-2017, Porto: Portugal, 24-26 Feb 2017, pp. 378-385.
  • Prerna Singh, "Synthetic Models of Ultrasound Image Formation for Speckle Noise Simulation and Analysis", ICSigSys-2017, Bali: Indonesia, 16-18 May 2017.
  • Huyuan Shangguan, "Video Based Motion Capture in Environments with Non-Stationary Background", ICSigSys-2017, Bali: Indonesia, 16-18 May 2017.
  • Ori Ganoni, "A Framework for Visually Realistic Multi-robot Simulation in Natural Environments", WSCG-2017, Plzen: Czech Republic, 29 May - 2 June 2017.
  • Prerna Singh, "Modelling, Speckle Simulation and Quality Evaluation of Synthetic Ultrasound Images", MIUA-2017, University of Edinburgh: UK, 11-13 July 2017.
  • Mukundan, R, "A Robust Algorithm for Automated HER2 Scoring in Breast Cancer Histology Slides Using Characteristic Curves", MIUA-2017, University of Edinburgh: UK, 11-13 July 2017.
Journal Papers:
  • Mukundan, R, "Contour Based High Resolution 3D Mesh Construction Using HRCT and MRI Stacks.", IJMDEM Journal, IGI Global, USA, Vol. 8, 2017.
Accepted Papers:
  • Ori Ganoni, "A Multi Sensory Approach Using Error Bounds for Improved Visual Odometry", Image and Vision Computing NZ Conference, IVCNZ-2017 Christchurch, New Zealand.
  • Tieta Putri, "Artistic Style Characterization and Brush Stroke Modelling for Non-Photorealistic Rendering", Image and Vision Computing NZ Conference, IVCNZ-2017 Christchurch, New Zealand.
  • Huyuan Shangguan, "3D Video-based Motion Capture using Convolutional Neural Networks", Image and Vision Computing NZ Conference, IVCNZ-2017 Christchurch, New Zealand.
  • Prerna Singh, "Quality Analysis Of Synthetic Ultrasound Images Using Co-Occurrence Texture Statistics", Image and Vision Computing NZ Conference, IVCNZ-2017 Christchurch, New Zealand.
Prizes/Awards:

Projects       Publications       People

  • mukundan@canterbury.ac.nz
  • Computer Science and Software Engineering
    University of Canterbury
    Private Bag 4800, Christchurch
    New Zealand.