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Online ISSN 1751-9640 Print ISSN 1751-9632

IET Computer Vision

Volume 9, Issue 6, December 2015


Volume 9, Issue 6

December 2015

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    • Scale-invariant feature matching based on pairs of feature points
      Trajectory-based view-invariant hand gesture recognition by fusing shape and orientation
      Automatic image annotation by a loosely joint non-negative matrix factorisation
      Conjugate gradient algorithm for efficient covariance tracking with Jensen-Bregman LogDet metric
      Modelling, synthesis and characterisation of occlusion in videos
      Multi-aircrafts tracking using spatial–temporal constraints-based intra-frame scale-invariant feature transform feature matching
      Graph clustering by congruency approximation
      Integrated self-calibration of single axis motion for three-dimensional reconstruction of roots
      Enhanced fast compressive tracking based on adaptive measurement matrix
      Improved anisotropic diffusion equation based on new non-local information scheme for image denoising
      Efficient levels of spatial pyramid representation for local binary patterns
      Measuring meaningful information in images: algorithmic specified complexity
      Statistical analysis of three-dimensional optical flow separability in volumetric images
      Image dehazing using two-dimensional canonical correlation analysis
      Effective ellipse detector with polygonal curve and likelihood ratio test
      Global three-dimensional-mesh indexing based on structural analysis and geometrical signatures
      Tone mapping based on fast image decomposition and multi-layer fusion
      Density-based region search with arbitrary shape for object localisation
      Fast smoothing technique with edge preservation for single image dehazing
      Advanced weight graph transformation matching algorithm
      Noise modelling in time-of-flight sensors with application to depth noise removal and uncertainty estimation in three-dimensional measurement
    • Addressing the illumination challenge in two-dimensional face recognition: a survey

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