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Correspondence Problems in Computer Vision (auf Englisch)
Typ: Hauptstudium / Vertiefungslinie
Semester: SS 2016
Umfang: 2V+2Ü
Studiengang: Master Informatik, Master Softwaretechnik, Diplom Softwaretechnik, Diplom Informatik, International Master in Computer Science - Studienprofil VC, International Master in Computer Science - Studienprofil AUT, International Master in Computer Science - Studienprofil STE
Dozent: Prof. Dr.-Ing. Andrés Bruhn
Beschreibung:

Correspondence problems are a central topic in computer vision. The basic task amounts to identifying and matching corresponding features in different images or views of the same scene. Typical examples for correspondence problems are (i) the estimation of motion information from consecutive frames of an image sequence (optic flow), (ii) the reconstruction of a 3-D scene from a stereo image pair, (iii) the registration of medical image data from different image acquisition devices (e.g. CT and MRT), and (iv) the analysis of the motion of fluid flows. The central part of this lecture is concerned with discussing the most important types of correspondence problems together with suitable models and algorithms for solving them.

This class requires undergraduate knowledge in mathematics ("e.g. Mathematik für Informatiker und Softwaretechniker"). Knowledge in image processing or computer vision is useful as well. Also basic knowledge in artificial intelligence can be helpful. The lectures will be given in English.

This class is particularly suited for those students who wish to pursue a diploma or master thesis in the CVIS group in the field of computer vision.

 

NEWS:

  • The first lecture starts Thursday, 07.04.2016, 15:45 in Seminar Room 0.108.
  • There will be no lecture/assignment on Friday, 08.04.2016.
  • There will be no lecture/assignment on Friday, 17.06.2016.
  • In the last week of the lecture period the lecture (Lecture 13) and the assignment (Assignment 11)
    have been exchanged, i.e. the assignment will be given on Thursday and the lecture will be given
    on Friday (due to Machine Learning exam on Thursday).

 

Course Material:

All course material (lecture notes, assignments, code, example solutions) are available in the ILIAS system.

 

Lectures

X • Lecture 01 X (07.04.2016) X Introduction, Overview
  • No Assignment   (08.04.2016)   cancelled
  • Lecture 02   (14.04.2016)   Block Matching, Correlation Methods, Interest Points
  • Assignment 01   (15.04.2016)   Programming
  • Lecture 03   (21.04.2016)   Optic Flow I: Local Differential Methods, Parametrisation Models
  • Assignment 02   (22.04.2016)   Theory
  • Lecture 04   (28.04.2016)   Optic Flow II: Global Differential Methods, Horn and Schunck
  • Assignment 03   (29.04.2016)   Programming
  • No Lecture   (05.05.2016)   Public Holiday: Ascension
  • Lecture 05   (06.05.2016)   Optic Flow III: Advanced Constancy Assumptions, Large Motion
  • Lecture 06   (12.05.2016)   Optic Flow IV: Advanced Data and Smoothness Terms
  • Assignment 04   (13.05.2016)   Theory
  • No Lecture   (19.05.2016)   Pentacoste Holidays
  • No Assignment   (20.05.2016)   Pentacoste Holidays
  • No Lecture   (26.05.2016)   Public Holiday: Corpus Christi
  • Assignment 05   (27.05.2016)   Programming
  • Lecture 07   (02.06.2016)   Optic Flow V: High Accuracy Methods
  • Assignment 06   (03.06.2016)   Theory
  • Lecture 08   (09.06.2016)   Optic Flow VI: Advanced Numerics
  • Assignment 07   (10.06.2016)   Programming
  • Lecture 09   (16.06.2016)   Stereo Matching I: Projective and Epipolar Geometry
  • No Assignment   (17.06.2016)   cancelled
  • Lecture 10   (23.06.2016)   Stereo Matching II: Estimation of the Fundamental Matrix
  • Assignment 08   (24.06.2016)   Theory
  • Lecture 11   (30.06.2016)   Optic Flow + Stereo: Scene Flow Estimation
  • Assignment 09   (01.07.2016)   Programming
  • Lecture 12   (07.07.2016)    Medical Image Registration
  • Assignment 10   (08.07.2016)   Theory
  • Assignment 11   (14.07.2016)   Programming
  • Lecture 13   (15.07.2016)   Particle Image Velocimetry

 

Assignments

 X • Assignment 01   (issued 11.04.2016, tutorial 15.04.2016)  
  • Assignment 02   (issued 18.04.2016, tutorial 22.04.2016)  
  • Assignment 03   (issued 25.05.2016, tutorial 29.04.2016)  
  • Assignment 04   (issued 09.05.2016, tutorial 13.05.2016)  
  • Assignment 05   (issued 23.06.2016, tutorial 27.05.2016)  
  • Assignment 06   (issued 30.05.2016, tutorial 03.06.2016)  
  • Assignment 07   (issued 06.06.2016, tutorial 10.06.2016)  
  • Assignment 08   (issued 20.06.2016, tutorial 24.06.2016)  
  • Assignment 09   (issued 27.06.2016, tutorial 01.07.2016)  
  • Assignment 10   (issued 04.07.2016, tutorial 08.07.2016)  
  • Assignment 11   (issued 11.07.2016, tutorial 15.07.2016)  

  

Bilder:
Internet-Seite:
Termine: Donnerstag, 15:45 - 17:15 Uhr in 0.108
Übungen: Freitag, 11:30 - 13:00 Uhr in 0.108
Tutor: Dipl.-Math. Sebastian Volz
Daniel Maurer M. Sc.

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