30h Th, 10h Pr, 50h Proj.
Number of credits
Language(s) of instruction
Organisation and examination
Teaching in the first semester, review in January
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Contents: introduction, linear filtering and deconvolution, mathematical morphology, non-linear filtering, features extraction and border detection, texture, enhancement and restoration, shape analysis, image segmentation, motion detection, aspects of 3D vision, machine learning, pattern recognition, deep learning
Learning outcomes of the learning unit
This course introduces to the major techniques used in computer vision. Theoretical and practical aspects of image processing are discussed in details, with a focus on industrial applications.
At the end of the course, students will be able to:
- master the notion of an image;
- understand the major vision processing techniques;
- design a complete video processing chain with a practical aim.
Prerequisite knowledge and skills
- The student shall have passed a course on advanced programming.
- The student shall be familiar with signal processing concepts.
Planned learning activities and teaching methods
Apart from the theoretical course, there are :
- exercise sessions
- computer simulations
- a large project (which is compulsory) consisting in a software implementation of computer vision techniques applied to a real situation
Mode of delivery (face-to-face ; distance-learning)
It includes a lecture on theory and training session per week. The project must be delivered by the end of the first semester.
Recommended or required readings
Assessment methods and criteria
Written exam which is compulsory except if the project has been rated with a note larger or equal to 10/20.
Homework (compulsory). This work must imperatively be given during the penultimate week of course of the first semester. Failure to achieve the required activities during the year will result in denying the possibility to pass the exam (1st AND 2d sessions!). There is no possibility to acheive the work during another semester than the one of the course.
Methods of examination: The exam is composed of theoritical questions and exercises. This is an open-book exam.
Please note that the course is given in english!
Teacher : M. Van Droogenbroeck (04/366 26 93) Secretary : 04/ 366 26 91 Assistant : P. Latour