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BA/MA Thesis

Below you will find a list of topics for a thesis, and feel free to contact us.


Titlesort descending Thesis Type Supervisor Requirements Short Description
Analysis of the Simulation of Multipath Effects in PMD Depth Sensors BA/MA Martin Lambers In this thesis, the candidate will evaluate to which degree PMD sensor simulation based on global illumination can realistically reproduce multi path effects. Such effects are caused by light not only being reflected directly from the target to the camera, but also indirectly through multiple bounces in the scene. For this purpose, not only resulting depth data should be compared (as in current publications on the topic), but also amplitude and phase information. Furthermore, an analysis of the shortcomings of previous rasterization-based techniques should be part of this thesis.
Anisotropic Smoothed Particle Hydrodynamics MA M. Sc. Rene Winchenbach Computer Graphics IV The goal of this method is to evaluate possible benefits that anisotropy can bring to SPH. The student would have to implement such a method, e.g. arxiv.org/abs/astro-ph/9512078 , in our existing simulation framework using CUDA and C++. Due to the difficulty of the method itself, prior knowledge in SPH is definetly beneficial.
Blur kernel estimation by deep learning MA Tak Ming Wong Recently, computer vision community developed several motion deblurring and single image super-resolution methods, which model the deblurring process by deep neural network. However, estimating an explicit blur kernel still plays an important role in image processing perspective. The aim of this work is to study in blur kernel estimation on conventional RGB image using state-of-arts deep learning technique.
Modern Material Models for Monte-Carlo Path Tracing MA Martin Lambers Computer Graphics III In this thesis, the candidate will review the relevant literature both on modern material models and on importance sampling of materials for Monte-Carlo path tracing, and construct a physically plausible material model that is able to reproduce the behavior of a wide variety of real-world materials while still supporting proper importance sampling as far as possible.