78917 - Project Work On Computer Vision and Image Processing M

Academic Year 2026/2027

  • Teaching Mode: In-person learning (entirely or partially)
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Computer Engineering (cod. 6719)

Learning outcomes

At the end of the project work the students are able to apply the principles, methods and skills acquired in the Computer Vision and Image Processing course to design a software system aimed at addressing a specific use case dealing with a typical application scenario.

Course contents

See "73302- Computer Vision and Image Processing M"

Readings/Bibliography

See "73302- Computer Vision and Image Processing M"

Teaching methods

See "73302- Computer Vision and Image Processing M"

Assessment methods

Students are required to carry out and present a software project related to solving an image processing and/or computer vision problem. The project can be proposed either by the teacher or the student. Students can also propose joint projects dealing with related subject matters such as e.g. Artificial Intelligence, Robotics, Embedded Systems, Computer Graphics.

The exam is oral and consists in project discussion.

For the project: limited and non-substantial use of AI is allowed as a support tool (e.g, code debug, code documentation). Substantial use of AI to complete parts of the project is not permitted. Use of AI tools must be explicitly declared by the students. Students must always be able to explain their code.

Students with specific learning disorders (SLD) or temporary or permanent disabilities are advised to contact the relevant University office well in advance ( [https://site.unibo.it/studenti-con-disabilita-e-dsa/en).] The office will propose any necessary accommodations to the students concerned; in any case, these accommodations must be submitted to the Professor for approval at least 15 days in advance. The Professor will assess their suitability also in relation to the learning objectives of the course.

Teaching tools

See "73302- Computer Vision and Image Processing M"

Office hours

See the website of Luigi Di Stefano