Computer Vision Systems Programming (VO)

Course Details

Lecturer

Martin Kampel

LVA-Nr.

183.586

Typ

Vorlesung (VO)

Link

TISS

  • When: Wed 10.00 – 12.00 c.t. (schedule)
  • Where: Seminarraum 183/2 (map)

News

Next deadline/task:

11.10.2017: 1st meeting

Course description

Computer vision from an applied point of view. We will review popular programming languages as well as open and closed source software (e.g. Matlab, NumPy, OpenCV) and talk about their pros and cons. We will also talk about how to approach computer vision problems in a principled way, and how related topics such as image processing, probability theory, numerical optimization, and machine learning fit into the picture. For the most part we will talk about selected successful computer vision applications. For example, modern cameras can detect faces in real-time, and we will see how this works. Other topics include Kinect’s depth and pose estimation as well as deep learning, one of the current “hot topics” in computer vision.

Prerequisites

Basic image processing and computer vision knowledge.

Grading

There will be an oral exam. More information and exam questions can be found here. Currently available dates for the exam are listed below. If you want to take the exam, contact us via mail or Twitter.

  • 24.01.2018 10:00-12:00

Associated exercises

We recommend the associated lab exercise that allows you to improve your computer vision programming skills.

Schedule

1st Meeting Oct 11th, Sem 183/2; 10:00