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Computer Vision, IET

Issue 2 • Date March 2011

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Displaying Results 1 - 7 of 7
  • Improving Harris corner selection strategy

    Publication Year: 2011 , Page(s): 87 - 96
    Cited by:  Papers (3)
    Click to expandAbstract | PDF file iconPDF (1151 KB)  

    This study describes a corner selection strategy based on the Harris approach. Corners are usually defined as interest points for which intensity variation in the principal directions is locally maximised, as response from a filter given by the linear combination of the determinant and the trace of the autocorrelation matrix. The Harris corner detector, in its original definition, is only rotation... View full abstract»

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  • Polygonal shape reconstruction in the plane

    Publication Year: 2011 , Page(s): 97 - 106
    Click to expandAbstract | PDF file iconPDF (999 KB)  

    In this study a robust shape reconstruction algorithm is proposed which guarantees a simple polygon as output and works well on both types of input, dot patterns and boundary samples, in the plane. Guaranteed polygonal output makes it favourable for many applications because of its ease of manipulation and use. The proposed algorithm, called simple-shape, starts reconstruction from the convex hull... View full abstract»

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  • Face recognition using regularised generalised discriminant locality preserving projections

    Publication Year: 2011 , Page(s): 107 - 116
    Click to expandAbstract | PDF file iconPDF (906 KB)  

    Discriminant locality preserving projection (DLPP) is a recently proposed algorithm, which is an extension of locality preserving projections (LPP) and can encode both the geometrical and discriminant structure of the data manifold. However, DLPP suffers from small sample size (SSS) problem which is often encountered in face recognition tasks. To deal with this problem, the authors propose a novel... View full abstract»

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  • Three-dimensional machine vision and machinelearning algorithms applied to quality control of percussion caps

    Publication Year: 2011 , Page(s): 117 - 124
    Click to expandAbstract | PDF file iconPDF (419 KB)  

    The exhaustive quality control is becoming very important in the world́s globalised market. One example where quality control becomes critical is the percussion cap mass production, an element assembled in firearm ammunition. These elements must achieve a minimum tolerance deviation in their fabrication. This study outlines a machine vision system development using a three-dimensional camer... View full abstract»

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  • Embedded implementation of image-based water-level measurement system

    Publication Year: 2011 , Page(s): 125 - 133
    Click to expandAbstract | PDF file iconPDF (1096 KB)  

    This paper proposes an embedded system for measuring the water level on a river using a camera. One of the main problems of using a camera in water-level measurement is that the light reflection on water surface changes rapidly. To solve this problem, this paper uses the property that variation of light reflection on the ruler showing the scale is relatively smaller than on the water surface. To e... View full abstract»

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  • Structured learning approach to image descriptor combination

    Publication Year: 2011 , Page(s): 134 - 142
    Click to expandAbstract | PDF file iconPDF (411 KB)  

    In this study, the authors address the problem of combining descriptors for purposes of object categorisation and classification. The authors cast the problem in a structured learning setting by viewing the classifier bank and the codewords used in the categorisation and classification tasks as random fields. In this manner, the authors can abstract the problem into a graphical model setting, in w... View full abstract»

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  • Fast semi-global stereo matching via extracting disparity candidates from region boundaries

    Publication Year: 2011 , Page(s): 143 - 150
    Cited by:  Papers (2)
    Click to expandAbstract | PDF file iconPDF (666 KB)  

    This study proposes a novel fast stereo matching algorithm via semi-global energy optimisation, which achieves a considerable improvement in efficiency for just a small price in accuracy. Based on some assumptions, the authors discover that at most two disparity candidates for each scanline segment of reference image can be extracted. With this observation, the authors present a disparity candidat... 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