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252-0538-00L 8 Credits BSC , DR , MSC , WBZ D-ITET , D-ARCH , D-INFK , D-MATH

Shape Modeling and Geometry Processing

Lecturers & Examiners: Prof. Dr. Olga Sorkine Hornung

VVZ CR 2.2

Last Updated: 2026-06-03 00:14:09

Abstract

This course covers the fundamentals and developments in geometric modeling and geometry processing. Topics include surface modeling based on point clouds and polygonal meshes, mesh generation, surface reconstruction, mesh fairing and parameterization, discrete differential geometry, interactive shape editing, topics in digital shape fabrication.

Objective

The students will learn how to design, program and analyze algorithms and systems for interactive 3D shape modeling and geometry processing.

Content

Recent advances in 3D geometry processing have created a plenitude of novel concepts for the mathematical representation and interactive manipulation of geometric models. This course covers the fundamentals and some of the developments in geometric modeling and geometry processing. Topics include surface modeling based on point clouds and triangle meshes, mesh generation, surface reconstruction, mesh fairing and parameterization, discrete differential geometry, interactive shape editing and digital shape fabrication.

Resources

Lecture Notes

Slides and course notes

Learning Materials (Links)

Main link
Information

General Information

Language: English
Levels: BSC , DR , MSC , WBZ
Frequency: Yearly recurring

Examination

Type: graded semester performance

The course grade is based on graded assignments. The exact nature and the weight of the individual assignments in the final grade will be announced in the first weeks of the class.

Course Components

Type	Title	Time & Place	Hours
lecture	Shape Modeling and Geometry Processing	Wed 10:15-12:00 (CAB G 51)	2 h weekly
exercise	Shape Modeling and Geometry Processing	Fri 10:15-12:00 (HG D 3.2)	2 h weekly
independent project	Shape Modeling and Geometry Processing	No time listed	3 h weekly

Offered In

Computational Science and Engineering Bachelor
- Electives (In the ‘electives’ subcategory, at least two course units must be successfully completed.)
Computational Science and Engineering Master
- Electives (In the ‘electives’ subcategory, at least two course units must be successfully completed. All courses listed as core courses (not electives) for one of the following ETH MSc programmes, MSc Statistics, MSc Physics, MSc Computer Science, MSc (Applied) Mathematics, MSc Neural Systems and Computation, MSc Robotics, Systems, and Control, MSc Data Science, MSc Electrical Engineering and Information Technology, can be taken as an elective course in the MSc CSE without prior permission.)
Computer Science Master
- Majors
  - Major in Visual and Interactive Computing
    - Core Courses
- Minors
  - Minor in Computer Graphics
CAS in Computer Science
- Focus Courses and Electives
Doctorate Architecture (More Information at: )
- Subject Specialisation
Data Science Master
- Master Studies (Programme Regulations 2017)
  - Core Courses
    - Core Electives
Cyber Security Master
- Minor
  - Visual and Interactive Computing
    - Core Courses