Computer Vision II

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Computer Vision II

Summer Semester 2018

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

Organization

Module no. 20-00-0401-iv
Event type integrated course (IV4, 6CP, 4SWS), elective
Being taught regularly, usually summer semesters
Time Wednesdays, 13:30 – 15:10
First class April 11, 2018
Location S2|02, room C120
Exam Written exam, details TBA
Prof. Roth is on sabbatical this summer term. Hence, there will be no in-class lectures but slides and recordings from the previous term are available in Moodle.

Content

Learning goals

Degree courses

Prerequisites

Literature