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#40628 / #5

SS 2017 - WS 2018/19

English

Photogrammetric Computer Vision

6

Hellwich, Olaf

benotet

Schriftliche Prüfung

Zugehörigkeit


Fakultät IV

Institut für Technische Informatik und Mikroelektronik

34341600 FG Computer Vision and Remote Sensing

No information

Kontakt


No information

Hellwich, Olaf

olaf.hellwich@tu-berlin.de

Learning Outcomes

The course deals with mathematic-physical modelling of a sensor by using the photographic camera as example. The modelling is completely expressed by algebraic projective geometry. Not only studying object reconstruction using image data of a multifaceted sensor, but and first of all the complete modelling of technically relevant issues in a homogeneous mathematical framework is important in this course. This framework is also used for 3D-computer graphics. Interdisciplinary application of the contents are demonstrated using various illustrative examples from e.g. manufacturing industries to geography, medicine and social sciences.

Content

Geometric basics of sensor orientation and object reconstruction: homogeneous coordinates, projectivity and perspective, modelling of image formation, inner and outer orientation, orientation of uncalibrated and calibrated cameras, spatial resection, least-squares adjustment, orientation of the image pair, relative and absolute orientation, spatial triangulation, multi-view geometry, bundle block adjustment, image digitalisation, radiometric basics.

Module Components

Pflichtteil:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Photogrammetric Computer VisionVL0433 L120WiSeNo information4
Photogrammetric Computer VisionUE0433 L121WiSeNo information2

Workload and Credit Points

Photogrammetric Computer Vision (VL):

Workload descriptionMultiplierHoursTotal
Attendance15.04.0h60.0h
Preparation/ Post-processing15.02.0h30.0h
90.0h(~3 LP)

Photogrammetric Computer Vision (UE):

Workload descriptionMultiplierHoursTotal
Attendance15.02.0h30.0h
Preparation/ Post-processing15.04.0h60.0h
90.0h(~3 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The lecture explains methods and algorithms, their underlying philosophy, as well as mathematical foundations from a rather theoretical point of view. Participants are expected to rehearse topics after class in preparation for the exercises. The exercises take place in parallel. They rehearse methods and algorithms from a more practical point of view, introduce variations and extensions, and discuss implementation details of the homework assignments. Homework assignments are given during the exercises and must be solved within two weeks. These assignments cover theoretical questions as well as programming exercises and are solved by working in small groups of three to four students.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Modul 20363 (Lineare Algebra für Ingenieurwissenschaften)

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://isis.tu-berlin.de

 

Literature

Recommended literature
http://www.cv.tu-berlin.de/menue/lehre/wintersemester/photogrammetic_computer_vision/parameter/en/

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.

Nebenhörerinnen / Nebenhörer können an der Veranstaltung teilnehmen.

Miscellaneous

The module is offered each winter term.