Image and geometry registration algorithms are an essential component of many
computer graphics and computer vision systems. With recent technological advances
in RGB-D sensors, such as the Microsoft Kinect or Asus Xtion Live, robust
algorithms that combine 2D image and 3D geometry registration have become an
active area of research. The goal of this course is to introduce the basics of 2D/3D
registration algorithms and to provide theoretical explanations and practical tools
to design computer vision and computer graphics systems based on RGB-D devices.
To illustrate the theory and demonstrate practical relevance, we briefly discuss three
applications: rigid scanning, non-rigid modeling, and realtime face tracking. Our
course targets researchers and computer graphics practitioners with a background
in computer graphics and/or computer vision