• Finger and gesture recognition with Microsoft Kinect 

      Ryan, Daniel James (Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)
      The Kinect is a cheap and wildly spread sensor array with some interesting features, such as a depth sensor and full body skeleton tracking. The Kinect SDK does not support finger tracking; We have therefore created ...
    • Training convolutional neural networks in virtual reality for grasp detection from 3D images 

      Dyrstad, Jonatan Sjølund (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
      The focus of this project has been on training convolutional neural networks for grasp detection with synthetic data. Convolutional neural networks have had great success on a wide variety of computer vision tasks, but ...
    • Virtual Field Service Ecosystem (VSE) using AR (Augmented Reality) collaboration with SiemensAG 

      Gupta, Showmen (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      With the huge advancement of technologies, our viewpoint to see, hear, observe and feel the surroundings around us is changing every single moment. Building a virtual ecosystem is an idea which needs much time and effort. ...
    • Visualization and comparison of geospatial data 

      Tjemsland, Tom Kristian (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019)
      Every second, a mind-numbing amount of data concerning the real world is gathered worldwide. Everything from the speed of cars through a road junction, to the geographical position of African lions, are registered and ...
    • Visualization of process values as a function of a robots path in 3D Virtual Reality 

      Dramdal, Rolf (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      Modern industrial robotics can display a lot of information, especially when something goes wrong or unexpected behaviour occurs. Often developers are presented with too much information, rather than too little. This makes ...