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#40116 / #7

WiSe 2020/21 - SoSe 2023

English

SIP - Stereo Image Processing

3

Hellwich, Olaf

benotet

Schriftliche Prüfung

Zugehörigkeit


Fakultät IV

Institut für Technische Informatik und Mikroelektronik

34341600 FG Computer Vision and Remote Sensing

No information

Kontakt


MAR 6-5

Schreer, Oliver

oliver.schreer@hhi.fraunhofer.de

Learning Outcomes

The students have understood all geometrical relations inbetween a 3D scene and the imaging process in a stereo camera system. They have knowledge about the various fields of application of image-based depth estimation such as media production, industrial as well as the medical domain.

Content

Passive depth analysis using stereo image processing is applied in a large variety of domains such as media production, robotic, quality control, and production, medical, security and remote sensing. New visualization techniques, like Virtual and Augmented Reality offer completely new application scenarios. In this course, the fundamentals of projective geometry is taught and and the geometric relationship between two camera views is presented. In this context, the estimation of camera parameters and the correspondence analysis in stereo images and videos will be discussed. The practical use of stereo image processing is illustrated by current research projects at Fraunhofer Heinrich Hertz Institute.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
SIP - Stereo Image ProcessingVL0433 L 181WiSeEnglish2

Workload and Credit Points

SIP - Stereo Image Processing (VL):

Workload descriptionMultiplierHoursTotal
Attendance15.02.0h30.0h
Pre/post processing15.04.0h60.0h
90.0h(~3 LP)
The Workload of the module sums up to 90.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

Interactive working out of mathematical relations of the imaging process of a 3D scene into two camera views. Discussion of algorithms and approaches for stereo analysis. During the lecture, short exercises are given to the students to allow for in-depth understanding of the topic.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Recommended: Fundamentals of vector and matrix algebra

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Written exam

Language

English

Duration/Extent

90 minutes

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Registration for the exam has to be made online.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available
Additional information:
https://www.hhi.fraunhofer.de/schreer

 

Literature

Recommended literature
Computer Vision: Algorithms and Applications, Szeliski R., 1st Edition, 2011, XX, 812 p., Hardcover, ISBN: 978-1-84882-934-3
Multiple View Geometry in Computer Vision, Hartley RI, Zisserman A (2004), Cambridge University Press, Cambridge, United Kingdom, 2nd Edition.
Stereoanalyse und Bildsynthese, Schreer, O. 2005, XII, 278 Seiten. 165 Illustrationen. Softcover, ISBN: 3-540-23439-X

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

The module is offered only in winter term.