You are cordially invited to attend the MSc thesis defence of Niels van der Veen. This defense will take place on Friday the 23^rd of November, at 12:00h in room LB01.010, building 36.

The presentation is open to the public and will last around 45 minutes including questions from the audience. You are hereby cordially invited to join!

Title

A paint-based approach for optimal lighting design in real scenes

Abstract

Lighting design is a computational expensive task, commonly done using Computer-aided design (CAD) software in a virtual scene. The designer places and tunes the virtual light sources and, yet the virtual environment is ideal for physically correct light tracing, the costly simulation might not provide the desired impression in the real scene. Moreover, the chosen light placement is not necessarily optimized. In this work we capture light behavior from real scenes as well as 3D scene properties and use this information to recreate different lighting designs. The results approximates physical correctness while visualizing the illumination on the real scene in a more time-efficient way. To make the design process more intuitive, the user paints the desired light properties instead of placing the light sources. The system attempts to find valid positions and parameters of the light sources in the scene to reflect the current design. Constraints such as number of light sources and emission profiles as well as spatial constraints can also be specified.

Committee

Prof. Dr. Elmar Eisemann

Dr. Klaus Hildebrandt

Dr. R. Venkatesha Prasad

You are cordially invited to attend the MSc thesis defense of Anshul Khandelwal, titled Reservoir Characterization using a Geometric Approach.

The defense will take place on Monday, 17th September at 14:00h in room Colloquimzaal 0.E420 at Van Mourik Broekmanweg.

The presentation is open to the public and will last around 40 minutes including questions from the audience. You are hereby cordially invited to join!

Title:
Reservoir Characterization using a Geometric Approach

Abstract:
Quantifying the anthropogenic impacts such as reservoir characterization is a big challenge in the field of water management. In this work, a computer graphics based geometric approach is presented which can predict the underlying topology of large-scale reservoirs. The proposed algorithm uses freely available, satellite based landscape data of the surrounding regions to predict reservoir characteristics. The premise of the presented approach is that the slope of the surrounding landscape is an important determinant to understand the underlying landscape of the reservoirs. This method outperforms the existing state-of-the-art techniques used to estimate the storage capacities drastically, both in terms of estimated maximum volume stored and estimated volume area curves. Evaluation of the geometric model presented is done on 28 reservoirs using the HydroSHEDs data which was developed using the Shuttle RADAR Topography Mission conducted by NASA. This HydroSHEDs data was obtained in 2000 which acts as ground truth data for the reservoirs built after 2000. Further, model parameters are introduced to improve the modeling capabilities of the reconstructed reservoirs. This approach further intensifies the case of using computer graphics techniques for raster based analysis and provides a platform for further research in the field of water management.

Committee:
Prof. Dr. Elmar Eisemann
Dr. Klaus Hildebrandt
Dr. Cynthia C.S. Liem
Prof. Dr. Nick van de Giesen

On 15th of March, 2018, Jan-Willem van Velzen successfully defended his master thesis titled “Texture-based Rendering of Vector-based Shapes”. In his work he presents an approach to store vector-based shapes into discrete raster-based textures, optimized for parallel rendering. He also discusses the implementation of both the serialization and deserialization steps, as well as rendering regular vector shapes with a comparable quality.

We congratulate Jan-Williem with his work and defense and wish him all the best for the future!