Now showing items 1-6 of 6
The high dynamic range imaging pipeline: Tone-mapping, distribution, and single-exposure reconstruction
(Linköping University Electronic Press, 2018-06-08)
Techniques for high dynamic range (HDR) imaging make it possible to capture and store an increased range of luminances and colors as compared to what can be achieved with a conventional camera. This high amount of image ...
3D scene analysis through non-visual cues
(University College London, 2019-10-06)
The wide applicability of scene analysis from as few viewpoints as possible attracts the attention of many scientific fields, ranging from augmented reality to autonomous driving and robotics. When approaching 3D problems ...
Efficient Light-Transport Simulation Using Machine Learning
(ETH Zürich, 2019)
The goal in this dissertation is the efficient synthesis of photorealistic images on a computer. Currently, by far the most popular approach for photorealistic image synthesis is path tracing, a Monte Carlo simulation of ...
Real-time 3D Human Body Pose Estimation from Monocular RGB Input
(Saarländische Universitäts-und Landesbibliothek, 2020-10)
Human motion capture finds extensive application in movies, games, sports and biomechanical analysis. However, existing motion capture solutions require cumbersome external and/or on-body instrumentation, or use active ...
Real-time 3D Hand Reconstruction in Challenging Scenes from a Single Color or Depth Camera
Hands are one of the main enabling factors for performing complex tasks and humans naturally use them for interactions with their environment. Reconstruction and digitization of 3D hand motion opens up many possibilities ...
Machine Learning For Plausible Gesture Generation From Speech For Virtual Humans
(Trinity College Dublin, The University of Dublin, 2021-08-03)
The growing use of virtual humans in an array of applications such as games, human-computer interfaces, and virtual reality demands the design of appealing and engaging characters, while minimizing the cost and time of ...