Computer Graphics Laboratory ETH Zurich


Mathematical Foundations of Computer Graphics and Vision - SS14 - Course Notes


  • Robust Fitting and Optimization: [Slides]
  • Global Optimization: [Slides]
  • Dimension Reduction Techniques: [Slides]
  • Graph cut I: [Slides]
  • Graph cut II: [Slides]
  • Clustering Tools: [Slides]
  • Variational Methods I: [Slides]
  • Variational Methods II: [Slides]
  • Variational Methods III: [Slides]
  • Belief Propagation: [Slides]
  • The Geometry of SO(n), SE(n): [Slides]
  • Metrics on SO(3) and Inverse Kinematics [Slides]
  • Inverse Kinematics II and Motion Capture [Slides]
Important: The course notes are only accessible from ETH IP range. These slides were generated as course documentation only. They contain images with unknown copyright. Therefore, the slides are provided exclusively for students attending the course to study the course material. Please do not copy or distribute these documents.