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IET Computer Vision

Issue 2 • Date June 2010

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Displaying Results 1 - 6 of 6
  • Motion tracking based on area and level set weighted centroid shifting

    Publication Year: 2010, Page(s):73 - 84
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1038 KB)

    In this study, the authors propose a stable colour-based tracking algorithm based on a new representation of the target location: the area weighted mean of the centroids corresponding to each colour bin of the target. The target location is well discriminated, since the centroids contain spatial information on the distribution of the colours and are rather insensitive to the loss of pixels and cha... View full abstract»

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  • Fundamental matrix of planar catadioptric stereo systems

    Publication Year: 2010, Page(s):85 - 104
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1394 KB)

    Planar mirror has been used successfully in catadioptric stereo systems to capture stereo images with a single camera. These planar catadioptric stereo (PCS) systems not only provide radiometric advantages over traditional two-camera stereo, but also reduce the complexity and cost of acquiring stereoscopic video. Although many papers have been published on the design of the PCS system, few studies... View full abstract»

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  • Urban road user detection and classification using 3D wire frame models

    Publication Year: 2010, Page(s):105 - 116
    Cited by:  Papers (13)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (4232 KB)

    This study presents a detection and classification system for vehicles and pedestrians in urban traffic scenes. This aims to guide surveillance operators and reduce human resources for observing hundreds of cameras in urban traffic surveillance. The authors perform per frame vehicle detection and classification using 3D models on calibrated cameras. Motion silhouettes (from background estimation) ... View full abstract»

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  • Multiple kernels for generalised discriminant analysis

    Publication Year: 2010, Page(s):117 - 128
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (363 KB)

    Kernel-based learning methods have been widely used in various machine learning tasks such as dimensionality reduction, classification and regression. Because the performance of kernel-based learning methods depends on the selection of kernels, how to optimise kernel functions becomes an important issue in kernel-based learning methods. A novel formulation for automatically learning kernels over a... View full abstract»

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  • Recovering surface normal of specular object by Hough transform method

    Publication Year: 2010, Page(s):129 - 137
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (748 KB)

    In order to recover surface normal and albedo of specular objects under the condition of large shadows and highlights by photometric stereo, a novel robust method utilising Hough transform is proposed. The photometric image sequence is taken by a fixed camera when the light source is rotated around the optical axis of the camera. Since the bidirectional reflectance distribution function of many su... View full abstract»

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  • Non-iterative stippling of greyscale threedimensional polygon meshed models

    Publication Year: 2010, Page(s):138 - 148
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (787 KB)

    This study develops a three-dimensional (3D) stippling technique, which includes a 3D sampling phase followed by a 3D surface half-toning phase for greyscale 3D polygon-meshed models. With the proposed technique, a 3D model is represented in a list of uni-colour, fixed-size points, which can be used by laser crystal engravers to generate its appearance. In the 3D sampling phase, based on the strat... 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