Project

The purpose of the team project is to allow the acquisition of new knowledge in the area of digital image processing and analysis and to provide an opportunity to gain more experience in research, in writing technical reports and, in presentation of results.

Project work is divided as follows: The first step is the formation of project teams. Next, students choose project topics in consultation with the lecturers and then prepare a short project summary. Next, students work on the project during the semester. Finally, upon project completion each team submits a final report and presents their results.

Contents

  1. Deadlines
  2. List of Project Teams
  3. Suggested Project Topics
  4. Team Formation
  5. Project summary
  6. Final Report

Deadlines

The planned deadlines for project activities are:

  • Formation of project teams: March 13th, 2024
  • Submission of project summaries: March 20th, 2024
  • The first consultation with professors: April 19th, 2024
  • Submission of final report: June 3rd, 2024

Please subscribe to the course announcement as there will always be a notice when a deadline is close and when it is exteneded. Also note that missing any of the aforementioned deadlines may result in negative points (unless there are extenuating circumstances).

List of Project Teams

Project teams will be added to the table below.

No. Project Title Assigned professor/assistant 
1. Bojanje crno-bijelih slika/Colorize black and white images donik.vrsnak@fer.hr
2. Detekcija stvarnih i umjetno generiranih lica ljudi/Detection of real and artificially generated human faces ivana.matovinovic@fer.hr
3. Vizualno prepoznavanje lokacija/Visual place recognition tomislav.petkovic.jr@fer.hr
4. Bojanje crno-bijelih slika/Colorize black and white images donik.vrsnak@fer.hr
5. Text recognition application tomislav.petkovic.jr@fer.hr
6. Klasifikacija otisaka prstiju ivana.matovinovic@fer.hr
7. Detekcija i raspoznavanje prometnih znakova/Detection and recognition of traffic signs franko.sikic@fer.hr
8. Metode za automatsku ravnotežu boja/Color balancing methods donik.vrsnak@fer.hr
9. Ispitivanje različitih metoda interpolacije ivana.matovinovic@fer.hr
10. Izdvajanje značajki za biometriju iz slika otisaka prsta/Fingerprint Feature Extraction For Biometrics ivana.matovinovic@fer.hr
11. Raspoznavanje osoba na temelju slike lica/Facial Recognition ivana.matovinovic@fer.hr
12. Paralelna realizacija metoda za obradu slike pomoću NVIDIA CUDA tehnologije marko.subasic@fer.hr
13. Detekcija i raspoznavanje prometnih znakova 2/ Detection and recognition of traffic signs 2 franko.sikic@fer.hr
14. Pretvaranje fotografije ekrana u snimke zaslona marko.subasic@fer.hr
15. Čitanje simbola na registarskoj pločici automobila/License plate detection ivana.matovinovic@fer.hr
16. Automatsko prebrojavanje riba u akvakulturi sa slike tomislav.petkovic.jr@fer.hr
17. Analiza i implementacija metoda za raspoznavanje pješačkih prijelaza iz slika franko.sikic@fer.hr
18. Randomly Selected Patch Centroids vs 2D Keypoint Location for Monocular Visual Odometry tomislav.petkovic.jr@fer.hr
19. Image-based point counting in Catan marko.subasic@fer.hr
20. Raspoznavanje pješaka na fotografijama cesta/Pedestrian detection franko.sikic@fer.hr
21. Detekcija vozila u slikama iz prometa/Vehicle detection franko.sikic@fer.hr
22. Prepoznavanje slova i brojeva na registarskoj pločici 2/License plate detection ivana.matovinovic@fer.hr
23. Detekcija naočala na slici osobe/Glasses detection ivana.matovinovic@fer.hr
24. Detection and recognition of Fruits tomislav.petkovic.jr@fer.hr
25. Segmentacija tumora jetre/Liver tumor segmentation ivana.matovinovic@fer.hr

Suggested Project Topics

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:

  1. List of selected project topics (prof. Tomislav Petkovic)

Team Formation

At the start of the semester, all students enrolled in the course should form project teams consisting of at least four and of no more than six students per team.

After a project team is formed team members should elect a team leader.

The elected team leader should then inform the lecturers about the formed team by e-mail (a more detailed instructions will be published in the notice on the course webpage).

Project Summary

After defining the project topics, the teams prepare and submit short project summaries.

The short project summary should include:

  1. the title,
  2. the topic and a short abstract between 100 and 200 words,
  3. breakdown of projects into tasks (What needs to be done?),
  4. the expected results and deliverables (What is the end product?),
  5. tentative team member assignments and a work schedule.

Once the summary is prepared the team leader should submit it to the lecturers by e-mail (a more detailed instructions will be published in the notice on the course webpage).

Final Report

At the end of the semester each student team shall submit to the lectures a final report.

The final report is comprised of:

  1. a written technical report (in PDF format);
  2. developed program source code and data (in a single ZIP archive); and
  3. a presentation of the project results.

All elements of the final report will be graded.

Detailed instructions about the submission procedure and the presentation of project results will be published in the notice on the course webpage.

Written Technical Report

A written technical report should be submitted as a PDF document.

The two-column IEEE Conference Template must be used as the 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:

  1. a short introduction including problem statement and motivation;
  2. an overview of the existing work, i.e. a short literature review;
  3. a description of the solution implemented by the project team;
  4. a description of experimental results;
  5. a discussion comparing your results with previous results from the literature (if any);
  6. a conclusion; and
  7. a list of references.

We also recommend you do not overload your technical report by including the developed program code as it is submitted separately.

Source Code and Data

The developed program code and data should be submitted as a single ZIP arhive. Please include a short ReadMe.txt file which describes the content of the archive. Also note that if the data used in the project is publicly available then there is no need to submit the data, instead simply include the URLs of the data in the provided ReadMe.txt file.

Project Presentation

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 and recitation hours in the week(s) preceding the final exams.

Attendance is mandatory, i.e. all enrolled students must be present during project presentations.

The exact time allotted to each team for presentation and other technical details will be finalized during the week preceding the presentations and will be published in the notice on the course webpage.