Computer Vision in 3D

Education facts

Code: DT8006

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. <br> After completing the course, the student shall be able to - use the methods for motion, and geometry estimation - use the methods of classification in image analysis problems - analyse and evaluate methods and solutions of image analysis applications

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 or English level 2. Exemption of the requirement in Swedish is granted for those with foreign grades.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Computer Vision in 3D

  Halmstad University

  Start date: 2 November 2026

  End date: 17 January 2027

  Pace of study: 50 %