IET Computer Vision

Issue 3 • May 2011

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Displaying Results 1 - 5 of 5
  • Isocube-based spherical wavelet for image-based relighting

    Publication Year: 2011, Page(s):151 - 163
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1068 KB)

    Using the brute-force way of synthesising a scene that is, illuminated under a distant environment is computationally intensive. To speed up the synthesis, we can represent the appearance of the scene under different lighting directions as an illumination adjustable image (IAI). Relighting the scene under a lighting environment is then achieved by manipulating the pre-recorded images of the IAI. H... View full abstract»

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  • Integral image compression based on optical characteristic

    Publication Year: 2011, Page(s):164 - 168
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (460 KB)

    The large amount of image data from the captured three-dimensional integral image requires to be presented with adequate resolution. It is therefore necessary to develop compression algorithms that take advantage of the characteristics of the recorded integral image. In this study, the authors propose a new compression method that is adapted to integral imaging. According to the optical characteri... View full abstract»

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  • Real-time tracking using A* heuristic search and template updating

    Publication Year: 2011, Page(s):169 - 177
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (767 KB)

    Many vision problems require fast and accurate tracking of objects in dynamic scenes. In this study, we propose an A* search algorithm through the space of transformations for computing fast target 2D motion. Two features are combined in order to compute efficient motion: (i) Kullback*Leibler measure as heuristic to guide the search process and (ii) incorporation of target dynamics into the search... View full abstract»

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  • Iris matching using multi-dimensional artificial neural network

    Publication Year: 2011, Page(s):178 - 184
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (583 KB)

    Iris recognition is one of the most widely used biometric technique for personal identification. This identification is achieved in this work by using the concept that, the iris patterns are statistically unique and suitable for biometric measurements. In this study, a novel method of recognition of these patterns of an iris is considered by using a multi-dimensional artificial neural network. The... View full abstract»

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  • Lung segmentation in chest radiographs by fusing shape information in iterative thresholding

    Publication Year: 2011, Page(s):185 - 190
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (429 KB)

    This study presents an algorithm for the segmentation of lung fields by fusing shape information priors into intensity-based thresholding in an iterative framework. The main contribution is to maximise information utilisation by effectively combining intensity information with shape priors. The global solution produced by the iterative binarisation is postprocessed using active shape model techniq... View full abstract»

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Aims & Scope

IET Computer Vision seeks original research papers in a wide range of areas of computer vision. The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in Computer Vision.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Majid Mirmehdi
University of Bristol
UK

Publisher
Editorial Assistant
IET Research Journals
Michael Faraday House
Six Hills Way
Stevenage  SG1 2AY  SG1 2AY  United Kingdom
iet_cvi@theiet.org