Multimedia Computing and Computer Vision Lab












Student Theses


Source Code / Datasets




WS 11/12: Projektmodul: Multimedia Computing

From Multimedia Computing Lab - University of Augsburg

Registration is closed.

All images are taken from 'Bild der Wissenschaft 08/2010'


Instructors: Prof. Dr. Rainer Lienhart, Fabian Richter
Time Lecture: Fri, 14:00 - 15:30, Room: 1020 N, starts October, 21st 2011
Time Exercise: Not decided
Credits: 6 SWS, 10 LP
Language: German


This course is for Master students and deals with the automated assembly of shredded documents. Since reconstructing documents manually is a difficult and tedious job the students are assigned the task to develop a system that is capable of assembling fragments automatically. The students will implement a very recent approach which involves many different research areas such as image processing and graph algorithms. The course is split into two parts. After the introductory phase with small programming assignments the students will work in small teams for the actual project.


  • Participation in the exercises to prepare for the project
  • Each student must read the related papers thoroughly
  • Teamwork
  • Written documentation of the project (can be done in Word, LaTeX, OpenOffice, etc...)
  • Programming will mostly be in C/C++
  • There is no introductory test


The course itself is held in German. You can write the documentation either in German or English, whatever you prefer most.


Date Content Slides Exercise Supplementary material
21.10.2011 Lec 0: Introduction PDF PDF PDF [1], PDF
04.11.2011 Lec 1: Tutorials PDF PDF, Solution Dataset, Libs, Properties
11.11.2011 Lec 2: Tutorials - PDF, Solution CallByTutorial, Debug_DLLs, Release_DLLs
18.11.2011 - - PDF, Solution
25.11.2011 - - PDF, Solution
02.12.2011 Lec 3: Affine Transformations PDF PDF, Solution FragmentAssembler_Lib
09.12.2011 - - PDF, Solution Interface
12.01.2012 - - Project Dataset Part1, Dataset Part2


  1. Shengjiao Cao, Hairong Liu and Shuicheng Yan. Automated Assembly of Shredded Pieces from Multiple Photos. IEEE International Conference on Multimedia & Expo (ICME), 2010.