Images and Video

Traditionally, computer graphics and computer vision solved inverse problems. While computer graphics starts with three-dimensional geometric models as input data to produce 2D image sequences, computer vision starts with 2D image sequences as input and produces geometric models or, more general, scene understanding. In recent years, computer vision and computer graphics have converged to a point were both research areas tackle similar problems from different directions.

At the middle point there are interesting research challenges, such as methods for capturing reality to create stunning imagery and visual effects based on real-world data, techniques for embedding displays in our daily environment and interaction with such displays or the computer in general. To address these challenges one has to use and extend methodology not only from computer vision and computer graphics but also from machine learning and human-computer interaction.

	Next Generation Telepresence Systems
	Video-based Rendering
	3D Video
	Holography Pipeline
	Face Scanning & Reflectance Acquisition
	Smart Displays
	Low-Cost 3D Scanning
	Interaction Toolbox