This thesis presents an improved normal-guided pointcloud denoising pipeline that enhances the quality and efficiency of 3D pointcloud reconstruction. Building on the Constraint-based Point Set Denoising (CPSD) method by (Yadav et al., 2018), several modifications and extensions are proposed to improve the denoising process. The key contributions include a revised point classification approach, dedicated point update formulas for different point classes and a pipeline optimization and evaluation. Experiments were performed on synthetic and real-world scanned datasets, using Chamfer Distance (CD) and single-sided Chamfer Distance (sCD) as evaluation metrics. Results demonstrate that the proposed method achieves lower error scores than existing pipelines while requiring fewer iterations. Additionally, the modular nature of the pipeline enables future integration of neural networks or curvature-aware point update functions, opening pathways for further improvements in denoising pipelines.

Cityhunter developed the idea of transforming their card game, Hunting Happy Families, into a game that can be played on tablets in a same manner that their other game, Hunt the Hunter, can be played. The aim of this project is to develop a game that can be played in Schiedam on an Android platform. An additional requirement is that the game can be adapted after the project is finished. That is, the client must be able to add new card sets and new locations through an interface without having to make changes in the codebase. Another part of this project includes a gamemaster interface, in which one person can keep track of all teams in a game, including their cards, points, locations and chat messages. Lastly, a server was created for storing and sending information between teams and the game master. This report defines the standard game play of a game of Hunting Happy Families. The main goal of the game is to learn about the history of the city of Schiedam. By walking around, teams can collect cards from other players, and identify locations associated with the various sets to try and gather as many points as possible. The team with the most points at the end of the game, wins. The system features a server connecting the teams and the game master using a string message system and lambda functions. Upon sending a message using this system, the server handles the requested data, and answers the request by forwarding the provided information, or relaying the information requested. The system was thoroughly field tested, including a playtest with external players. The verdict on the game by these players is positive, though the system needs a slight amount of fine tuning to ensure the best experience. That said, the game is completely ready for use, andHuntingHappy Families is bound to carve its niche in the market of group events.