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    Generic high level feature detection techniques using multi-modal spatial data

    242432_Palmer R 2015.pdf (20.71Mb)
    Access Status
    Open access
    Authors
    Palmer, Richard Leslie
    Date
    2015
    Supervisor
    Assoc. Prof. Tele Tan
    Prof. Geoff West
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Faculty of Science and Engineering
    URI
    http://hdl.handle.net/20.500.11937/279
    Collection
    • Curtin Theses
    Abstract

    Object and pattern recognition techniques have classically used 2-D images. Mobile-mapping systems produce images with the added modality of depth. This is motivating renewed interest in aspects of object recognition research, especially in relation to issues of scale. This thesis reports on techniques that have been developed to incorporate depth into state-of-the-art 2-D object detection and localisation methods. The techniques are empirically shown to enhance detection accuracy across a range of datasets and object types.

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