Module Handbook

  • Dynamischer Default-Fachbereich geändert auf INF

Course INF-73-71-K-7

3D Computer Vision & Augmented Reality (Seminar) (2S, 4.0 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
- K 4.0 CP 92 h
2 S Seminar 28 h
(2S) 4.0 CP 28 h 92 h

Basedata

SWS 2S
CP, Effort 4.0 CP = 120 h
Position of the semester 1 Sem. in SuSe
Level [7] Master (Advanced)
Language [EN] English
Lecturers
Area of study [INF-KI] Intelligent Systems
Livecycle-State [NORM] Active

Possible Study achievement

  • Verification of study performance: written elaboration and presentation
  • Examination number (Study achievement): 67371 ("Seminar 3D Computer Vision & Augmented Reality")
  • Details of the examination (type, duration, criteria) will be announced at the beginning of the course.

Contents

Selected topics from the field of 3D Computer Vision and Augmented Reality, e.g.:
  • Algorithms and methods for camera tracking, object recognition, pose estimation, 3D reconstruction, etc.
  • Augmented Reality applications, current trends
  • Computer Vision and mobile Augmented Reality on consumer devices
  • Realistic Rendering

Literature

Topic specific

Requirements for attendance (informal)

Courses

Requirements for attendance (formal)

None

References to Course [INF-73-71-K-7]

Module Name Context
[INF-73-71-M-7] 3D Computer Vision & Augmented Reality (Seminar) P: Obligatory 2S, 4.0 LP
Course-Pool Name
[INF-KI_S-KPOOL-7] Seminars of the teaching area Intelligent Systems