Computer Vision II

© Thomas Ott / TU Darmstadt

Computer Vision II

Summer Semester 2016

This course provides a more in-depth introduction into computer vision – the problem of making computers understand the visual world we live in. We will focus on probabilistic/learning approaches to computer vision from a variety of areas including 3D scene structure estimation from stereo images, image motion estimation (optical & scene flow), image restoration, semantic image segmentation, tracking of objects in video sequences, and more.

Quick links

Course materials (Moodle) TUCaN


Module no. 20-00-0401-iv
Event type integrated course (IV4, 6CP, 4SWS), elective
Being taught regularly, usually summer semesters
Time Wednesdays, 11:40 – 15:10
First class April 20, 2016
Location S2|02, room C120
Lecturer Prof. Stefan Roth, Ph.D.
Exam Written exam, details TBA


Learning goals

Degree courses