By Topic

Computer Vision, IET

Issue 4 • Date December 2009

Filter Results

Displaying Results 1 - 5 of 5
  • Editorial

    Publication Year: 2009 , Page(s): 175
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (70 KB)  

    This Special Issue contains four papers whose short versions appeared at the Digital Image Computing: Techniques and Applications (DICTA) Conference which took place at the Rydges Lakeside in Canberra from the 1st??3rd December 2008. Since 1991, DICTA has been the main Australian venue for the presentation of advances and research results on digital image computing. From its establishment, DICTA h... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Robust video stabilisation algorithm using feature point selection and delta optical flow

    Publication Year: 2009 , Page(s): 176 - 188
    Cited by:  Papers (2)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1386 KB)  

    In this study, the authors propose a novel video stabilisation algorithm for mobile platforms with moving objects in the scene. The quality of videos obtained from mobile platforms, such as unmanned airborne vehicles, suffers from jitter caused by several factors. In order to remove this undesired jitter, the accurate estimation of global motion is essential. However, it is difficult to estimate g... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Conditions for motion-background segmentation using fundamental matrix

    Publication Year: 2009 , Page(s): 189 - 200
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (809 KB)  

    In common motion segmentation and estimation applications, where the exact nature of objects' motions and the camera parameters are not known a priori, the most general motion model (the fundamental matrix) is applied. Although the estimation of a fundamental matrix and its use for motion segmentation are well understood, the conditions governing the feasibility of segmentation for different types... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Curvature-based approach for multi-scale feature extraction from 3D meshes and unstructured point clouds

    Publication Year: 2009 , Page(s): 201 - 212
    Cited by:  Papers (4)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (2006 KB)  

    A framework for extracting salient local features from 3D models is presented in this study. In the proposed method, the amount of curvature at a surface point is specified by a positive quantitative measure known as the curvedness. This value is invariant to rigid body transformation such translation and rotation. The curvedness at a surface position is calculated at multiple scales by fitting a ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Band selection for hyperspectral imagery using affinity propagation

    Publication Year: 2009 , Page(s): 213 - 222
    Cited by:  Papers (19)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (619 KB)  

    Hyperspectral imagery generally contains enormous amounts of data because of hundreds of spectral bands. Band selection is often adopted to reduce computational cost and accelerate knowledge discovery and other tasks such as subsequent classification. An exemplar-based clustering algorithm termed affinity propagation for band selection is proposed. Affinity propagation is derived from factor graph... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.

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