The purpose of the team project is to allow the acquisition of new knowledge in the area of digital image processing and analysis and provide an opportunity to gain more experience in research, writing technical reports and presentation of results.
The first step is the formation of teams of four to six members. After forming the teams, students in consultation with the lecturers choose the project themes. Upon completion, each project team has to present the results of the work.
- Team Formation
- Project summary
- Final Report
- List of Project Teams
- Suggested Project Topics
At the start of the semester, all students enrolled in the course "Digital Image Processing and Analysis" should form project teams consisting of at least four and of no more than six students per team.
You may use the forum available at https://www.fer.unizg.hr/en/course/dipaa/forum to form teams and to select project topics.
After a project team is formed team members should appoint a team leader.
The selected team leader should then inform teaching assistants and lecturers via e-mail about the formed project team.
After defining the project topics, the student teams prepare the project summaries. A project summary should include:
- the project title,
- the project topic and a short description (an abstract between 100 and 200 words),
- the project breakdown into tasks (What needs to be done?),
- the expected project results and deliverables (What is the end product?),
- team member assignments and a tentative time schedule.
Each student team should send the project summary to the teaching assistant by the deadline listed below.
At the end of the semester, before the deadline listed below, each student team shall submit to the teaching assistant by e-mail:
- a written technical report (in PDF format);
- a file containing the presentation (in PDF format);
- developed program source code and data.
All elements of the final report will be graded and are worth 20 points.
Written Technical Report
A written technical report should be submitted as a PDF document via e-mail.
Please use the A4 IEEE Conference Template as a template for your written technical report.
IEEE Conference Templates are available at https://www.ieee.org/conferences_events/conferences/publishing/templates.html.
We recommend the following structure of the written technical report:
- a short introduction including problem statement and motivation;
- an overview of the existing work, i.e. a short literature review;
- a description of the solution implemented by the project team;
- a description of experimental results;
- a discussion comparing your results with previous results from the literature (if any);
- a conclusion; and
- a list of references.
We also recommend you do not overload your technical report with developed program code as it is submitted separately.
At the end of the semester, each project team will present their results. Presentation aids are a computer and projector. The presentations will be held during regular lecture hours in the week which precedes the final exams. Exact time allotted to each team will be announced during the week preceding the presentations.
The presentation should be submitted as a PDF document via e-mail.
Attendance is mandatory: all enrolled students and all team members must be present during final project presentations.
Source Code and Data
Developed program code and data should be sent by e-mail to the teaching assistant by the project leader.
The following deadlines are firm:
- Formation of project teams: March 13th, 2020
- Submission of project summaries: March 26th, 2020
- Video presentation: May 19, 2020
- Final report:
May 17, 2020,May 22, 2020
Missing any of the aforementioned deadlines may yield negative penalty points (unless there are extenuating circumstances).
|No.||Project Title||Team Members|
|1||Simple Motion Detection in Video Sequences||Filip Milić, Tomislav Grdenić, Barth Marsault, Florian Gigot, Gaëtan Jagorel|
|2||Random Sprays Retinex (RSR) algoritam za procjenu osvjetljenja slike (Random Sprays Retinex (RSR) algorithm for illumination estimation)||Jakov Benjak, Martin Cvitić, Hrvoje Ditrih, Lovro Katalinić, Dominik Keča, Lovro Levak|
|3||Total variation denoising||Daren Gnjatović, Davor Gregurić, Marko Mesarić, Ivan Radaš, Domagoj Trupinić|
|4||Optičko prepoznavanje glazbe (Optical music recognition)||Dominik Maršanić, Marin Polgar, Ana Puljčan, Marijan Smetko, Anita Vencl|
|5||Uklanjanje crvenih očiju u digitalnoj fotografiji (Red eye removal for digital photography)||Nikola Artuković, Vedran Bogdanović, Jozo Ćaćić, Ivan Maretić, Milan Vujinić|
|6||Detekcija lica u slici (Face detection)||Matija Komorski, Roman Kos, Pavle Mirković, Luka Pržić, Ena Rajković|
|7||Highway Traffic Monitoring using Aerial Video||Arnold Szilveszter Kovács, Markus Paulsen, László Preznyák, Bingji Wang, Ahmet Yildirim, Luna Yeison, Niko Višnjić|
To make the selection of project topics easier here we list some of the possible project topics and lecturers who may be contacted for further info:
- Total variation denoising (T. Petković)
- Camera calibration in refractive imaging geometry (T. Petković)
- BA-NET: Neural network for bundle adjustment (T. Petković)