Computer Graphics Laboratory ETH Zurich


Mathematical Foundations of Computer Graphics and Vision - SS13 - Course Notes

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The course notes will be made available on this page. They are only accessible from ETH IP range.

Important: 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.

  1. Introduction [PDF]
  2. Robust Optimization [PDF] (updated on 4. March)
  3. Global Optimization [PDF]
  4. Multi-dimensional scaling [PDF] (temporary version)
  5. K-means and Lloyd's algorithm [PDF]
  6. Sparse Linear Algebra I [PDF]
  7. Sparse Linear Algebra II and Spectral analysis [PDF]
  8. Variational Methods I [PDF]
  9. Variational Methods II [PDF]
  10. Variational Methods III [PDF]
  11. The geometry of SO(3) & SE(3) [PDF]
  12. Metrics of SO(3) & Inverse Kinematics [PDF]
  13. Inverse Kinematics II & Motion Capture [PDF]
Additional Material Slides | Additional Material | Links