Computer Vision in 3D, 7.5 credits
Datorseende i 3D, 7,5 hp
Course code: DT8006
School of Information Technology
Level: Second cycle
Select course syllabus
Finalized by: Forsknings- och utbildningsnämnden, 2024-09-18 and is valid for students admitted for spring semester 2025.
Main field of study with advanced study
Computer Science and Engineering, Second cycle, has second-cycle course/s as entry requirements. (A1F)Entry requirements
Bachelor of Science degree (or equivalent) in an engineering subject or in computer science. Courses in computer science, computer engineering or electrical engineering of at least 90 credits, including thesis. Courses in mathematics of at least 30 credits or courses including calculus, linear algebra and transform methods. The course Image analysis 7,5 credits. English 6.
Placement in the Academic System
The course is included as an elective course in the Master's Programme in Embedded and Intelligent Systems 120 credits, the Master's Programme in Information Technology 120 credits and as elective course in the Programme Computer Science and Engineering, 300 credits. The course is also offered as a freestanding course.
Objectives
The student shall acquire knowledge and skills for applications of multidimensional computer vision, primarily image sequences of space taken in time and/or from different views. A further objective is to introduce the current research applications and that the student acquires a deeper understanding of the subject.
Following successful completion of the course the student should be able to:
Knowledge and understanding
- describe motion by means of images
- describe geometry of 3D objects by images
Skills and ability
- map motion in 3D and typical computer vision problems, and experiment with solutions
- map geometry of 3D objects and typical computer vision problems, and experiment with solutions
Judgement and approach
- analyze and evaluate methods and solutions in applications of computer vision
Content
The following elements are included in the course: motion of lines and points, motion tensor and direction, 3D geometry and perspective camera, 3D reconstruction by stereo.
Language of Instruction
Teaching Formats
Instruction consists of theory and practice embodied in lectures and computer exercises, respectively. Individual feedback is given for both theory and practice.
Grading scale
Examination formats
Written exam and Report.
2001: Written Examination, 6 credits
Four-grade scale, digits (TH): Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
2002: Report, 1.5 credits
Two-grade scale (UG): Fail (U), Pass (G)
Exceptions from the specified examination format
If there are special reasons, the examiner may make exceptions from the specified examination format and allow a student to be examined in another way. Special reasons can e.g. be study support for students with disabilities.
Course evaluation
Course evaluation is part of the course. This evaluation offers guidance in the future development and planning of the course. Course evaluation is documented and made available to the students.
Course literature and other materials
Literature list 2025-01-20 – Until further notice
Bigun, Josef (2006) Vision with Direction, Springer, Heidelberg.
Laboratory instructions
