Computer Vision II

Computer Vision II

Summer Semester 2015

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.

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Course materialsTUCaN

Organization

Module no. 20-00-0401-iv
Event type integrated course (IV4, 6CP, 4SWS), elective
Being taught regularly, usually summer semesters
Time Wednesdays, 09:50 – 13:20
First class 15.04.2015
Location S3|05, room 074
Lecturer Prof. Stefan Roth, Ph.D.
Exam Written exam, August 5th, 2015, 11:00-13:00

Content

Learning goals

Degree courses

Prerequisites

Literature