Browsing 2021 MU Dissertations - Freely available online by Thesis Department "Computer science (MU)"

Now showing items 1-10 of 10

  • Accurate, fast, and robust 3D city-scale reconstruction using wide area motion imagery 

    Yao, Shizeng (University of Missouri--Columbia, 2021)
    Multi-view stereopsis (MVS) is a core problem in computer vision, which takes a set of scene views together with known camera poses, then produces a geometric representation of the underlying 3D model Using 3D reconstruction ...

  • Computer vision for plant and animal inventory 

    Chen, Guang (University of Missouri--Columbia, 2021)
    The population, composition, and spatial distribution of the plants and animals in certain regions are always important data for natural resource management, conservation and farming. The traditional ways to acquire such ...

  • Deep heterogeneous superpixel neural networks for image analysis and feature extraction 

    Yang, Zhangwei (Alex) (University of Missouri--Columbia, 2021)
    Lately, deep convolutional neural networks are rapidly transforming and enhancing computer vision accuracy and performance, and pursuing higher-level and interpretable object recognition. Superpixel-based methodologies ...

  • Deep learning architectures for 2D and 3D scene perception 

    Bao, Rina (University of Missouri--Columbia, 2021)
    Scene understanding is a fundamental problem in computer vision tasks, that is being more intensively explored in recent years with the development of deep learning. In this dissertation, we proposed deep learning structures ...

  • Defeat data poisoning attacks on facial recognition applications 

    Cole, Dalton Russell (University of Missouri--Columbia, 2021)
    In the modern era, facial photos are used for a wide array of applications, from logging into a smartphone to bragging about a weekend getaway. With the vast amount of use cases for facial images, adversaries will attack ...

  • Enhancing privacy and security within social networks 

    Morris, Joshua Dennis (University of Missouri--Columbia, 2021)
    The introduction of online social networking has allowed people across the world to share information with each other. It has risen to be one of the most popular forms of internet usage where almost everyone has created ...

  • Information fusion for robust detection of scarce features/objects in high resolution electro-optical satellite imagery 

    Cannaday, Alan Bruice (University of Missouri--Columbia, 2021)
    We conducted research to develop and test methods to improve the detection of scarce objects in high-resolution electro-optical satellite imagery. We demonstrated improvements through various forms of information and data ...

  • An interpretable protein localization prediction framework 

    Jiang, Yuexu (University of Missouri--Columbia, 2021)
    Protein localization is related to many human diseases. Therefore, the prediction of protein localization is an essential task that has been extensively studied. Additionally, the study of the localization mechanism can ...

  • Privacy-preserving collaboration in an integrated social environment 

    Uplavikar, Nitish Milind (University of Missouri--Columbia, 2021)
    Privacy and security of data have been a critical concern at the state, organization and individual levels since times immemorial. New and innovative methods for data storage, retrieval and analysis have given rise to ...

  • Structural modeling of the 3D genome using machine learning 

    Highsmith, Max Richard (University of Missouri--Columbia, 2021)
    This dissertation, submitted as a partial requirement for completion of the Doctorate of Philosophy, outlines the research performed by Max Highsmith in the BDM Lab. This work includes a functional expansion of a ...