Code: ict35M3 Programme (Energy/ict): ict ects

Project funded by the EU Lifelong Learning Programme

Project Reference No. 527877-LLP-1-2012-1-UK-ERASMUS-ENW

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  10% - Working with OpenImj to achieve basic computer vision analysis.
  
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  10% - Build basic technique.
  
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  20% - Group coursework .
  
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  60% - Exam, 2 hour(s).
  

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  Overview: The challenge of computer vision is to develop a computer based system with the capabilities of the human eye-brain system. It is therefore primarily concerned with the problem of capturing and making sense of digital images. The field draws heavily on many subjects including digital image processing, artificial intelligence, computer graphics and psychology. This module will explore some of the basic principles and techniques from these areas which are currently being used in real-world computer vision systems and the research and development of new systems.
  

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  Topics:
  
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    The human eye-brain system as a model for computer vision
    
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    Image formation: sampling theorem, Fourier transform and Fourier analysis
    
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    Image models
    
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    Basic image processing: Sampling and quantisation, Brightness and colour, Histogram operations, Filters and convolution, Frequency domain processing
    
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    Edge detection
    
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    Boundary and line extraction
    
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    Building machines that see: constraints, robustness, invariance and repeatability
    
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    Fundamentals of machine-learning: classification and clustering
    
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    Understanding covariance, eigendecomposition and PCA
    
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    Feature extraction
    
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    Interest point detection
    
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    Segmentation
    
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    2-D Shape representation
    
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    Local features
    
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    Image matching
    
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    Large-scale image search and feature indexing
    
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    Understanding image data and performing classification and recognition
    
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    3D vision systems
    
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    Recovering depth from multiple views
    
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    Practical examples, including: biometric systems (recognising people), industrial computer vision, etc
    

Nixon, M.S. and Aguado, A.S. Feature Extraction & Image Processing, 3rd ed., Academic Press, 2012.

Sonka, Hlavac & Boyle, Image Processing, Analysis and Machine Vision, 3rd ed., PWS Publishing, 2008.

Gonzalez et al., Digital Image Processing, 3rd ed., Pearson, 2008.

Stockman and Shapiro, Computer Vision, Prentice Hall, 2001.