Module 39-M-Inf-GMP Geometric Modeling Based on Polygonal Meshes

Attention: This page shows a discontinued module offer.

Faculty

Person responsible for module

Regular cycle (beginning)

Discontinued

Credit points and duration

5 Credit points

For information on the duration of the modul, refer to the courses of study in which the module is used.

Competencies

Non-official translation of the module descriptions. Only the German version is legally binding.

The students learn the theoretical foundations of Geometric Modeling and gain experience in their practical implementation in the exercises.

Content of teaching

In Computer Graphics triangle meshes, or more general polygon meshes, are the standard representation for geometric objects. Their conceptual simplicity enables highly efficient geometry processing, which is why triangle meshes are becoming increasingly popular also in many other application areas (computer games, numerical simulations, CAD systems).
In this course we will discuss the whole mesh-based geometry processing pipeline: We start with 3D model acquisition (e.g. laser scanning, Kinect scanning), followed by surface mesh generation. The resulting meshes then have to be optimized with respect to different (application-dependent) quality criteria: Mesh smoothing removes noise, mesh simplification reduces the number of triangles while preserving the overall shape, mesh compression aims at compact storage. Finally, we will also talk about interactive deformation and animation. Besides these methods students will also learn about some fundamental concepts in geometry processing, which are used in most of the approaches (e.g. discrete differential geometry, solving partial differential equations on a mesh).
To facilitate a better understanding, many of the discussed techniques will be implemented in the programming exercises, which are organized as 3-4 mini projects.

Recommended previous knowledge

39-Inf-CG
Knowledge as in the modules 24-M-Inf-1 and 24-M-Inf-2
The lecture "Scientific Computing" (39-Inf-WR) is helpfull, but not strictly required.
Knwoledge in C++

Necessary requirements

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Explanation regarding the elements of the module

The (partial) examination of the module can be performed as "ungraded" in some study programs at the students choice. Before the examination a respective determination must be carried out, a later modification (graded - ungraded) is impossible. If the "ungraded" option is chosen, it is not possible to include this module in a study program where this module is deemed to enter the calculation of the overall grade.

Module structure: 0-1 bPr, 0-1 uPr 1

Courses

Geometrische Modellierung mit Polygonnetzen
Type lecture
Regular cycle WiSe
Workload5 60 h (30 + 30)
LP 2 [Pr] [Pr]
Geometrische Modellierung mit Polygonnetzen
Type exercise
Regular cycle WiSe
Workload5 60 h (30 + 30)
LP 2

Examinations

oral examination
Allocated examiner Teaching staff of the course Geometrische Modellierung mit Polygonnetzen (lecture)
Weighting without grades
Workload 30h
LP2 1

In einigen Studiengängen der Technischen Fakultät kann die Modulprüfung nach Wahl der Studierenden auch "unbenotet" erbracht werden (s. Erläuterungen zu den Modulelementen und die jeweilige FsB). Wird die unbenotete Option gewählt, ist es nicht möglich, dieses Modul zu verwenden, um es in einen Studiengang einzubringen, in dem dieses Modul bei der Gesamtnotenberechnung berücksichtigt wird.
Erläuterungen zu dieser Prüfung siehe unten (benotete Prüfungsvariante).

oral examination
Allocated examiner Teaching staff of the course Geometrische Modellierung mit Polygonnetzen (lecture)
Weighting 1
Workload 30h
LP2 1

Oral examination (15-25 min.) regarding the material of the lecture and the exercises.

Further notices

Bei diesem Modul handelt es sich um ein eingestelltes Angebot. Dieses Modul richtet sich nur noch an Studierende, die nach einer der nachfolgend angegebenen FsB Versionen studieren. Ein entsprechendes Angebot, um dieses Modul abzuschließen, wurde bis maximal Wintersemester 2019/2020 vorgehalten. Genaue Regelungen zum Geltungsbereich s. jeweils aktuellste FsB-Fassung.

Bisheriger Angebotsturnus war jedes Wintersemester.

The module is used in these degree programmes:

Degree programme Profile Recom­mended start 3 Duration Manda­tory option 4
Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] Variante 1 3. one semester Compul­sory optional subject
Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] Variante 2 3. one semester Compul­sory optional subject
Intelligent Systems / Master of Science [FsB vom 27.07.2018 mit Änderung vom 04.06.2020] 1. o. 3. one semester Compul­sory optional subject
Intelligent Systems / Master of Science [FsB vom 17.12.2012 mit Änderungen vom 15.04.2013, 01.04.2014, 15.10.2014, 02.03.2015 und Berichtigung vom 17.11.2014] 1. o. 3. one semester Compul­sory optional subject
Informatics for the Natural Sciences / Master of Science [FsB vom 30.09.2016 mit Berichtigung vom 10.01.2017 und Änderungen vom 15.09.2017, 02.05.2018, 04.06.2020 und 31.03.2023] 1. one semester Compul­sory optional subject
Informatics for the Natural Sciences / Master of Science [FsB vom 17.12.2012 mit Änderungen vom 15.04.2013, 01.04.2014, 15.10.2014, 02.03.2015, 01.12.2015 und Berichtigungen vom 01.04.2014, 17.11.2014 und 12.07.2017] 1. one semester Compul­sory optional subject

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Legend

1
The module structure displays the required number of study requirements and examinations.
2
LP is the short form for credit points.
3
The figures in this column are the specialist semesters in which it is recommended to start the module. Depending on the individual study schedule, entirely different courses of study are possible and advisable.
4
Explanations on mandatory option: "Obligation" means: This module is mandatory for the course of the studies; "Optional obligation" means: This module belongs to a number of modules available for selection under certain circumstances. This is more precisely regulated by the "Subject-related regulations" (see navigation).
5
Workload (contact time + self-study)
SoSe
Summer semester
WiSe
Winter semester
SL
Study requirement
Pr
Examination
bPr
Number of examinations with grades
uPr
Number of examinations without grades
This academic achievement can be reported and recognised.

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Elements of the module

Courses

Examinations

Programme of lectures (eKVV)

Programme of lectures (eKVV)

Show lists of modules

Data Science / Master of Science // Variante 1

Data Science / Master of Science // Variante 2

Intelligent Systems / Master of Science [FsB vom 27.07.2018 mit Änderung vom 04.06.2020]

Intelligent Systems / Master of Science [FsB vom 17.12.2012 mit Änderungen vom 15.04.2013, 01.04.2014, 15.10.2014, 02.03.2015 und Berichtigung vom 17.11.2014]

Informatics for the Natural Sciences / Master of Science [FsB vom 30.09.2016 mit Berichtigung vom 10.01.2017 und Änderungen vom 15.09.2017, 02.05.2018, 04.06.2020 und 31.03.2023]

Informatics for the Natural Sciences / Master of Science [FsB vom 17.12.2012 mit Änderungen vom 15.04.2013, 01.04.2014, 15.10.2014, 02.03.2015, 01.12.2015 und Berichtigungen vom 01.04.2014, 17.11.2014 und 12.07.2017]