Computer Graphics Laboratory

Mathematical Foundations of Computer Graphics and Vision - SS12 - Course Notes

Slides	Slides \| Additional Material \| Links
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 neither copy nor distribute these documents. Introduction & Sparse Linear Algebra [PDF] Spectral Mesh Processing [PDF] K-Means Clustering and Lloyd's Algorithm [PDF] Tensors, Subspaces, and all that... [PDF] Dimension Reduction Techniques [PDF] Rigid Transformations [PDF] Metrics on SO(3), SE(3) and Inverse Kinematic [PDF] Non-linear Optimization [PDF] Variational Methods I [PDF] Variational Methods II [PDF] Variational Methods III [PDF]
Additional Material	Slides \| Additional Material \| Links
Please note that the material mentioned below is optional and is meant to help you understanding the course notes. Linear algebra: doc-bl.pdf , thanks to Nikolay Kobyshev Segmentation: http://webee.technion.ac.il/~ayellet/Ps/0325_ayt.pdf http://www.cs.ubc.ca/labs/imager/tr/2005/Vlad_DCharts/ http://www1.idc.ac.il/icgf/graphicsseminar2006/variationalShape04.pdf Multi dimensional scaling: http://www.toldo.info/vipsschool/slides/VIPS2010_mds.pdf
Links	Slides \| Additional Material \| Links
State of the art libraries for solving sparse linear systems: TAUCS: http://www.tau.ac.il/~stoledo/taucs/ Eigen: http://eigen.tuxfamily.org OpenNL: http://alice.loria.fr/index.php/software/4-library/23-opennl.html