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Vision par ordinateurRisques et systèmes industriels et IA (RSIIA) (MRI)

FISA MRI Semester 9 Option Risks and Industrial Systems Machine translation

Computer Vision

Teaching unit Industrial risks and systems and AI (RSIIA) · M09O_RSI2  |  EC Code M09O_RSI2
Course on Celene
12ECTS (EU)
1Coefficient
29:00Hours

Séquencement

C TD C TD C TD C C C TP TP

Learning objectives

The objectives of the course are to introduce the fundamental principles and techniques of image processing and computer vision. It is also a question of developing an appreciation of the various questions regarding the design of a computer vision system. Also provide programming experience from the implementation of applications.

Prerequisites

ModuleTeaching unitSemester
Algorithms and ProgrammingMathematics and Computer Science 5S5

Basic knowledge of linear algebra, proba/stat, and programming.

Program

  1. Introduction
  2. Low level image processing (screening, enhancement...)
  3. Detection of contours and points of interest
  4. Area segmentation
  5. Estimated motion in images
  6. 3D vision
  7. Recognition of objects

Assessment

Final review, TP1 and TP2.

References

Richard Szeliski, "Computer Vision: Algorithms and Applications". by David Forsyth and Jean Ponce, "Computer Vision: A Modern Approach". Rafael Gonzalez and Richard Wood, "Digital Image Processing".

Skills

4
Ref.VerbDescriptionLevel
C1_2recognizebasic theories and methods of image processing and computer vision.3
C2_1identifybasic concepts, terminology, techniques commonly used in the field of computer vision3
C2_2chooseappropriate methods for a specific problem2
C3_2designa vision system for a given application2