MA-INF 2213 - Computer Vision II

3L + 1E, SS22

Lecturer

Juergen Gall

Content

Tentative: linear methods for classification and regression, random forests, neural networks, SVMs, prototype methods, nearest neighbors, Gaussian processes, metric learning, structured learning, image classification, object detection, action recognition, pose estimation, face analysis, tracking.

Material

The slides and recordings will be provided via sciebo: Slides/Recordings.

Prerequisites

MA-INF2201 is recommended but not required.

Schedule

Wednesday, 10:15-11:45, CP1-HSZ / Hörsaal 3

Friday, 10:15-11:45, CP1-HSZ / Hörsaal 3 (every second week)

Start: Wednesday, 06.04.

Exercises

Theory and programming. At least 50% of the exercise points are required to qualify for exam. The programming exercises are implemented in Python and OpenCV.

Register for exercise groups until 08.04. 12:00 at

Registration form

Schedule

Friday, 10:15-11:45, CP1-HSZ / Hörsaal 3 (every second week; sometimes on Wednesday)

Exam

Registration period: 01.06.-21.06.

Exam: 25.7.-26.7.

2nd Exam: 5.9.-6.9.(tbc)