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Syllabus:

Digital Vision, 7.5 credits

The course is discontinued from 2022-02-14

Swedish name: Digitalt seende
This syllabus is valid: 2016-01-11 valid to 2016-01-17 (newer version of the syllabus exists)
Course code: 5EL071
Credit points: 7.5
Education level: Second cycle
Main Field of Study and progress level: Electronics: Second cycle, has second-cycle course/s as entry requirements
Media Technology: Second cycle, has second-cycle course/s as entry requirements
Grading scale: Pass with distinction, Pass with merit, Pass, Pass with distinction, Pass, Fail
Responsible department: Department of Applied Physics and Electronics
Revised by: Faculty Board of Science and Technology, 2015-11-20

Contents

Vision is a complex process that includes many interacting components involved, for example, with the analysis of color, depth, motion, shape and texture of objects, and with the use of visual information for recognition, locomotion, and manipulation. In this course we focus on how to use video cameras to extract certain physical properties of the visible environment. Algoritm complexity and robustness are two important issues addressed.
High emphasis is put on the use of distance and depth images directly from a camera and how this can be used together with regular images

Required Knowledge

Students must have completed Digital Signal Processing, 7.5 ECTS or Signals and Systems, 7.5 ECTS and Image Processing, 7.5 ECTS or only Media Signals, 15 ECTS or equivalent.
Proficiency in English equivalent to Swedish upper Secondary course English A/5. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.

Literature

Valid from: 2014 week 50

Szeliski Richard
Computer vision : algorithms and applications
New York : Springer : 2010 : xx, 812 s. :
ISBN: 9781848829343 (inb.)
Mandatory
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