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Filtering by: Subject Image segmentation Remove constraint Subject: Image segmentation Degree Name Doctor of Philosophy (Ph.D.) Remove constraint Degree Name: Doctor of Philosophy (Ph.D.)

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  • An Efficient Point Cloud Processing Framework for Terrestrial and Mobile Lidar Data via Reconstructing the Scan Pattern Grid

    Creator:
    Che, Erzhuo
    Abstract:
    Lidar (LIght Detection And Ranging) is a remote sensing technology using light in the form of a pulsed laser, which enables efficient, accurate, 3-D data acquisition of a scene. Depending on the mounting platform, lidar data acquisition can be categorized into Airborne Laser Scanning (ALS, or airborne lidar), Terrestrial Laser...
    Resource Type:
    Dissertation
    Full Text:
    ........................................................................................ 52 3.2.2 Image-based Segmentation

  • Object Tracking-by-Segmentation in Videos

    Creator:
    Chen, Sheng
    Abstract:
    This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of one or more targets in the image sequence. This is a very challenging task as algorithms need to deal with problems such as appearance variations,...
    Resource Type:
    Dissertation
    Full Text:
    -by-Segmentation in Videos Abstract approved: Alan P. Fern This thesis focuses on the problem of

  • Implementing High Dynamic Range (HDR) Photography to Improve 3D Laser Scanning Point Cloud Visualization and Segmentation

    Creator:
    Mahmoudabadi, Hamid
    Abstract:
    This research explores several novel approaches to improve visualization and segmentation of point clouds acquired with 3D laser scanning. 3D laser scanning is used in a wide variety of applications including surveying and mapping, transportation asset management, facilities management, building information modeling, crime scene investigations, cultural heritage and geologic instigations....
    Resource Type:
    Dissertation
    Full Text:
    color. An image segmentation algorithm is applied to each PIMP, and then the union of the segmented