• Augmented Reality on Mobile Devices Using Both Front and Rear Cameras

      Liu, Tongtong (Auckland University of Technology, 2020)
      When people buy sunglasses in the store, it is hard for them to see themselves wearing sunglasses in the mirror. Besides, if people want to buy glasses online, they can't try on the glasses and they don't know if the glasses ...
    • Detection and Recognition for Multiple Flames Using Deep Learning

      Xin, Chen (Auckland University of Technology, 2018)
      Object recognition is one of the critical fields of intelligent surveillance which can be applied to tackle multiple security issues. The recognition of a flame is an extended research direction which has significant ...
    • Exploration of the 3D world on the internet using commodity virtual reality devices

      Tran, Huy Quang (Auckland University of Technology, 2018)
      This thesis describes the development of a graphically interactive and online Virtual Reality (VR) application. Based on keywords provided by users, it automatically retrieves and display stereoscopic contents from the ...
    • Portable Apple Leaf Disease Detection System Using Convolutional Neural Networks

      Luu, Thanh Hieu (Auckland University of Technology, 2021)
      A major issue in agriculture is the need to cope with plant diseases. Adequate expertise and domain knowledge are required to handle diseases effectively in the field. The concurrence of the increasingly portable device ...
    • Sailboat and Kayak Detection Using Deep Learning Methods

      Luo, Ziyuan (Auckland University of Technology, 2022)
      Visual object recognition is one of the most important and tough problems in computer vision. It targets various visual objects within realistic and real-time images. In depth, deep learning has become a powerful method ...