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Showing 1 to 5 of 5 for “"directional statistics"”.

  1. Nonparametric Modelling for Directional Data

    In directional statistics, observations are directions or orientations. The three main types of directional data considered are circular, spherical and toroidal data, with corresponding support space on a circle, a hyper-sphere, and a torus, respectively. As conventional statistical tools and …

    auckland-ms Repository record for Nonparametric Modelling for Directional Data (opens in a new tab)

  2. Combining Probabilistic Shape-from-Shading & Statistical Facial Shape Models

    … Shape-from-Shading algorithm based on Directional Statistics, Markov Random Fields and Belief Propagation. We describe the statistical facial shape models for needle maps and surface height in the same chapter based on the concepts of dimension reduction e.g. Principal Component …

    whiterose Repository record for Combining Probabilistic Shape-from-Shading & Statistical Facial Shape Models (opens in a new tab)

  3. Integrating Shape-from-Shading & Stereopsis

    … uses belief propagation, but this time with directional statistics to represent surface orientation. Message passing is performed using a novel method; it is analytical, which makes this algorithm particularly fast. In the final research chapter a new module is provided, to estimate the light …

    whiterose Repository record for Integrating Shape-from-Shading & Stereopsis (opens in a new tab)

  4. Directional image representations using nonseparable lifting

    … This thesis demonstrates a method to create a directional image representation with compact spatial support which is not limited to a single dimension. Within the lifting framework of perfect reconstruction filter banks, sparse representation requires prediction filters able to adapt to the …

    uiuc Repository record for Directional image representations using nonseparable lifting (opens in a new tab)

  5. Multichannel source separation and tracking with phase differences by random sample consensus

    … sphere, respectively. These algorithms combine directional statistics, Bayesian filtering theory, and probabilistic data association techniques to track the speakers with mixtures of directional distributions.

    uiuc Repository record for Multichannel source separation and tracking with phase differences by random sample consensus (opens in a new tab)