Uses concepts from applied mathematics and computer science to design efficient algorithms for the reconstruction, analysis, manipulation, simulation and transmission of complex 3D models. Example applications are collision detection, reconstruction, compression, occlusion-aware surface handling and improved sampling conditions.
In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.
In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.
In computer graphics we produce images, videos and other content that is perceived by humans. Unfortunately, human perception is still not well understood, making it hard to design algorithms that perfectly fit a user’s needs. Understanding how people see, do and perceive things is therefore a key component when optimizing and creating new rendering algorithms.
The advent of consumer-grade 3D printing has recently sparked interest in fabrication-aware shape design and optimization. We use techniques from computer graphics and engineering to develop new computational tools to facilitate the design process of physical artifacts.