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    BMVC
    1998
    174views Computer Vision» more  BMVC 1998»
    Detection and Tracking of Very Small Low Contrast Objects
    13 years 6 months ago
    Detection and Tracking of Very Small Low Contrast Objects
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    We present a Kalman tracking algorithm that can track a number of very small, low contrast objects through an image sequence taken from a static camera. The issues that we have ad...
    D. Davies, Phil L. Palmer, Majid Mirmehdi
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    BMVC
    1998
    246views Computer Vision» more  BMVC 1998»
    Reconstructing 3D Pose and Motion from a Single Camera View
    13 years 6 months ago
    Reconstructing 3D Pose and Motion from a Single Camera View
    Download  personal.ee.surrey.ac.uk
    This paper presents a model based approach to human body tracking in which the 2D silhouette of a moving human and the corresponding 3D skeletal structure are encapsulated within ...
    Richard Bowden, T. A. Mitchell, Mansoor Sarhadi
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    BMVC
    1998
    81views Computer Vision» more  BMVC 1998»
    Self-Calibrating Surface Reconstruction for the ModelMaker
    13 years 6 months ago
    Self-Calibrating Surface Reconstruction for the ModelMaker
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    The ModelMaker [8] is a commercially available hand-held laser scanner mounted on an articulated arm. In this paper we present results from postprocessing of ModelMaker data and a...
    S. J. Cunnington, Andrew J. Stoddart
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    BMVC
    1998
    140views Computer Vision» more  BMVC 1998»
    Active Object Recognition in Parametric Eigenspace
    13 years 6 months ago
    Active Object Recognition in Parametric Eigenspace
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    We present an efficient method within an active vision framework for recognizing objects which are ambiguous from certain viewpoints. The system is allowed to reposition the camer...
    Hermann Borotschnig, Lucas Paletta, Manfred Prantl...
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    BMVC
    1998
    120views Computer Vision» more  BMVC 1998»
    Benchmarking of Bootstrap Temporal Stereo using Statistical and Physical Scene Modelling
    13 years 6 months ago
    Benchmarking of Bootstrap Temporal Stereo using Statistical and Physical Scene Modelling
    Download  www.bmva.org
    Temporal stereo vision algorithms can offer improved robustness, however, this can only be delivered after several frames of a stereo image sequence have been processed. We presen...
    S. Crossley, Neil A. Thacker, N. Luke Seed
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    BMVC
    1998
    90views Computer Vision» more  BMVC 1998»
    Improving the Robustness of Cell Nucleus Segmentation
    13 years 6 months ago
    Improving the Robustness of Cell Nucleus Segmentation
    Download  espace.library.uq.edu.au
    A highly successful active contour implementation, for the automatic segmentation of cervical cell nuclei, is shown to lend itself well to a framework that further increases its s...
    Pascal Bamford, Brian C. Lovell
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    BMVC
    1998
    107views Computer Vision» more  BMVC 1998»
    Planar Curve Representation and Matching
    13 years 6 months ago
    Planar Curve Representation and Matching
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    In this paper, we discuss a method for representing and matching planar curves. The technique is based on using calculations from concentric circles to represent each curve by two...
    Maher Al-Khaiyat, Farhad Kamangar
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    BMVC
    1998
    92views Computer Vision» more  BMVC 1998»
    Spatial Filtering Requirements for Gradient-Based Optical Flow Measurement
    13 years 6 months ago
    Spatial Filtering Requirements for Gradient-Based Optical Flow Measurement
    Download  www.ee.surrey.ac.uk
    When using a gradient-basedmethod to determine the optical flow field for an image sequence, it is generally appreciated that some spatial pre-filtering of the images is usually n...
    William J. Christmas
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    BMVC
    1998
    123views Computer Vision» more  BMVC 1998»
    A Method for Dynamic Clustering of Data
    13 years 6 months ago
    A Method for Dynamic Clustering of Data
    Download  www.bmva.org
    This paper describes a method for the segmentation of dynamic data. It extends well known algorithms developed in the context of static clustering (e.g., the c-means algorithm, Ko...
    Arnaldo J. Abrantes, Jorge S. Marques
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    BMVC
    1998
    233views Computer Vision» more  BMVC 1998»
    A Comparative Study of Rotation Invariant Classification and Retrieval of Texture Images
    13 years 6 months ago
    A Comparative Study of Rotation Invariant Classification and Retrieval of Texture Images
    Download  www.bmva.org
    This paper presents a detailed comparative study of 4 rotation invariant texture analysis methods. Human subjects are included as a benchmark for the computational methods. Experi...
    Stephanie R. Fountain, Tieniu Tan, Keith D. Baker
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