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    3D Point Cloud Representation Learning and Reconstruction using Vector-based Neural Network

    Phang JTS 2022 Public 2years.pdf (7.907Mb)
    Access Status
    Open access
    Authors
    Phang, Jonathan Then Sien
    Date
    2022
    Supervisor
    Hann Lim
    Raymond Chiong
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Curtin Malaysia
    School
    Curtin Malaysia
    URI
    http://hdl.handle.net/20.500.11937/89924
    Collection
    • Curtin Theses
    Abstract

    3D point cloud learning using deep learning architecture has become an active research trend due to advancement in 3D acquisition technologies. However, raw point clouds are often incomplete, unstructured, and noisy due to viewpoint occlusion and surface irregularity. 3D modeling task is the focus in this research work for 3D point cloud representation learning and reconstruction due to its importance in vast applications that require a concise and efficient reconstruction and recognition of object model.

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