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    FNS and HEIV: relating two vision parameter estimation frameworks

    Chojnacki, W. / Brooks, M.J. / van den Hengel, A. et al. | IEEE | 2003
    Problems requiring accurate determination of parameters from image-based quantities arise often in computer vision. Two recent ...

    What value covariance information in estimating vision parameters?

    Brooks, M.J. / Chojnacki, W. / Gawley, D. et al. | IEEE | 2001
    Many parameter estimation methods used in computer vision are able to utilise covariance information describing the uncertainty of data ...

    A statistical rationalisation of Hartley's normalised eight-point algorithm

    Chojnacki, W. / Brooks, M.J. / van den Hengel, A. et al. | IEEE | 2003
    The eight-point algorithm of Hartley occupies an important place in computer vision, notably as a means of providing an initial value of ...

    Visual tracking via efficient kernel discriminant subspace learning

    Chunhua Shen, / van den Hengel, A. / Brooks, M.J. | IEEE | 2005
    Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a ...

    Augmented particle filtering for efficient visual tracking

    Chunhua Shen, / Brooks, M.J. / van den Hengel, A. | IEEE | 2005
    Visual tracking is one of the key tasks in computer vision. The particle filter algorithm has been extensively used to tackle this problem ...