All students must validate 30 ECTS per semester.We offer two speciality tracks:

Track 1: Vision and Applications
The first track focuses on various applications of computer vision: biomedical applications, people detection, object tracking, computational photography.

Track 2: Vision and devices
The second track focuses on devices to capture images (intelligent sensors, medical imaging systems) and to visualise and interact with them (augmented reality)

 

 

 

Course name: Personal Navigation Credits: 4

  • Class type: lecture/practical
  • Hours per week: 2/1
  • Type of the exam: oral exam
  • Prerequisites (if exist): Introduction into Artificial Intelligence

Content

Navigation systems: global and local navigation

  Objectives: scientific and social aspects

  System requirements for different application areas

  Implementation platforms

  A case study: bionic eyeglass

  Scene perception and classification

  Object and object primitive detection

  Noise filtering

  Feature extraction methods

  Clustering and classification methods

  Optical flow

  Object tracking

  Visual semantics and knowledge representation Learning and adaptation

  • Lecturer (name, position, degree): dr. Kristóf Karacs, associate professor, PhD

The European Credit Transfer and Accumulation System (ECTS) is a student-centred system based on the student workload required to achieve the objectives of a programme of study. Its aim is to facilitate the recognition of study periods undertaken abroad by mobile students through the transfer credits. The ECTS is based on the principle that 60 credits are equivalent to the workload of full-time student during one academic year.