SoSe 2017

Statistical Geometry Processing

Univ.-Prof. Dr. Michael Wand

Shortname: 08.079.293
Course No.: 08.079.293

Requirements / organisational issues

Required Knowledge:

  1. Programming (EiP/EiS). C++ experience is useful.
  2. Math skills from base lectures (calculus, linear algebra)
  3. Course "Modelling I" or prior courses in computer graphics / computer vision.

(see German pages for more details).

Contents


  1. Statistical models and machine learning
    [list]
  2. Basics
  3. Markov Random Fields, Conditional Random Fields, "Graphical Models"
  4. Diskriminative and generative Models. Learning & open problems

  • 3D Geometrie

    1. Measuring geometry
    2. 3D Scanner
    3. Rekonstruction from Images

  • Rekonstruction & Correspondences

    1. Shape Spaces (variational, probabilistic, intrinsic)
    2. Shape Matching
    3. Symmetry
    4. Generative statistical Models

  • 3D Pattern recognition
    [/list]

    Dates:

    Date (Day of the week)TimeLocation
    04/24/2017 (Monday)16.00 to 18.0004 426
    2413 - Neubau Physik/Mathematik
    05/08/2017 (Monday)16.00 to 18.0004 426
    2413 - Neubau Physik/Mathematik
    05/15/2017 (Monday)16.00 to 18.0004 426
    2413 - Neubau Physik/Mathematik
    05/22/2017 (Monday)16.00 to 18.0004 426
    2413 - Neubau Physik/Mathematik
    05/29/2017 (Monday)16.00 to 18.0004 426
    2413 - Neubau Physik/Mathematik
    06/12/2017 (Monday)16.00 to 18.0004 426
    2413 - Neubau Physik/Mathematik
    06/19/2017 (Monday)16.00 to 18.0004 426
    2413 - Neubau Physik/Mathematik
    06/26/2017 (Monday)16.00 to 18.0004 426
    2413 - Neubau Physik/Mathematik
    07/03/2017 (Monday)16.00 to 18.0004 426
    2413 - Neubau Physik/Mathematik
    07/10/2017 (Monday)16.00 to 18.0004 426
    2413 - Neubau Physik/Mathematik

    Semester: SoSe 2017