Marc Pollefeys: Catalogue data in Autumn Semester 2021

Name Prof. Dr. Marc Pollefeys
FieldComputer Science
Address
Institut für Visual Computing
ETH Zürich, CNB G 105
Universitätstrasse 6
8092 Zürich
SWITZERLAND
Telephone+41 44 632 31 05
Fax+41 44 632 17 39
E-mailmarc.pollefeys@inf.ethz.ch
URLhttp://www.inf.ethz.ch/personal/pomarc/
DepartmentComputer Science
RelationshipFull Professor

NumberTitleECTSHoursLecturers
252-0206-00LVisual Computing Information 8 credits4V + 3US. Coros, M. Pollefeys
AbstractThis course acquaints students with core knowledge in computer graphics, image processing, multimedia and computer vision. Topics include: Graphics pipeline, perception and camera models, transformation, shading, global illumination, texturing, sampling, filtering, image representations, image and video compression, edge detection and optical flow.
Learning objectiveThis course provides an in-depth introduction to the core concepts of computer graphics, image processing, multimedia and computer vision. The course forms a basis for the specialization track Visual Computing of the CS master program at ETH.
ContentCourse topics will include: Graphics pipeline, perception and color models, camera models, transformations and projection, projections, lighting, shading, global illumination, texturing, sampling theorem, Fourier transforms, image representations, convolution, linear filtering, diffusion, nonlinear filtering, edge detection, optical flow, image and video compression.

In theoretical and practical homework assignments students will learn to apply and implement the presented concepts and algorithms.
Lecture notesA scriptum will be handed out for a part of the course. Copies of the slides will be available for download. We will also provide a detailed list of references and textbooks.
LiteratureMarkus Gross: Computer Graphics, scriptum, 1994-2005
252-5701-00LAdvanced Topics in Computer Graphics and Vision Information Restricted registration - show details
Number of participants limited to 24.

The deadline for deregistering expires at the end of the third week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
2 credits2SM. Pollefeys, O. Sorkine Hornung, S. Tang
AbstractThis seminar covers advanced topics in computer graphics, such as modeling, rendering, animation, real-time graphics, physical simulation, and computational photography. Each time the course is offered, a collection of research papers is selected and each student presents one paper to the class and leads a discussion about the paper and related topics.
Learning objectiveThe goal is to get an in-depth understanding of actual problems and research topics in the field of computer graphics as well as improve presentations and critical analysis skills.
ContentThis seminar covers advanced topics in computer graphics,
including both seminal research papers as well as the latest
research results. Each time the course is offered, a collection of
research papers are selected covering topics such as modeling,
rendering, animation, real-time graphics, physical simulation, and
computational photography. Each student presents one paper to the
class and leads a discussion about the paper and related topics.
All students read the papers and participate in the discussion.
Lecture notesno script
LiteratureIndividual research papers are selected each term. See http://graphics.ethz.ch/ for the current list.
263-5902-00LComputer Vision Information 8 credits3V + 1U + 3AM. Pollefeys, S. Tang, F. Yu
AbstractThe goal of this course is to provide students with a good understanding of computer vision and image analysis techniques. The main concepts and techniques will be studied in depth and practical algorithms and approaches will be discussed and explored through the exercises.
Learning objectiveThe objectives of this course are:
1. To introduce the fundamental problems of computer vision.
2. To introduce the main concepts and techniques used to solve those.
3. To enable participants to implement solutions for reasonably complex problems.
4. To enable participants to make sense of the computer vision literature.
ContentCamera models and calibration, invariant features, Multiple-view geometry, Model fitting, Stereo Matching, Segmentation, 2D Shape matching, Shape from Silhouettes, Optical flow, Structure from motion, Tracking, Object recognition, Object category recognition
Prerequisites / NoticeIt is recommended that students have taken the Visual Computing lecture or a similar course introducing basic image processing concepts before taking this course.
263-5905-00LMixed Reality Information 5 credits3G + 1AI. Armeni, F. Bogo, M. Pollefeys
AbstractThe goal of this course is an introduction and hands-on experience on latest mixed reality technology at the cross-section of 3D computer graphics and vision, human machine interaction, as well as gaming technology.
Learning objectiveAfter attending this course, students will:
1. Understand the foundations of 3D graphics, Computer Vision, and Human-Machine Interaction
2. Have a clear understanding on how to build mixed reality apps
3. Have a good overview of state-of-the-art Mixed Reality
4. Be able to critically analyze and asses current research in this area.
ContentThe course introduces latest mixed reality technology and provides introductory elements for a number of related fields including:
Introduction to Mixed Reality / Augmented Reality / Virtual Reality Introduction to 3D Computer Graphics, 3D Computer Vision. This will take place in the form of short lectures, followed by student presentations discussing the current state-of-the-art. The main focus of this course are student projects on mixed reality topics, where small groups of students will work on a particular project with the goal to design, develop and deploy a mixed reality application. The project topics are flexible and can reach from proof-of-concept vision/graphics/HMI research, to apps that support teaching with interactive augmented reality, or game development. The default platform will be Microsoft HoloLens in combination with C# and Unity3D - other platforms are also possible to use, such as tablets and phones.
Prerequisites / NoticePrerequisites include:
- Good programming skills (C# / C++ / Java etc.)
- Computer graphics/vision experience: Students should have taken, at a minimum, Visual Computing. Higher level courses are recommended, such as Introduction to Computer Graphics, 3D Vision, Computer Vision.
264-5800-18LDoctoral Seminar in Visual Computing (HS21) Information 1 credit1SM. Pollefeys, O. Sorkine Hornung, S. Tang
AbstractIn this doctoral seminar, current research at the Institute for Visual Computing will be presented and discussed. The goal is to learn about current research projects at our institute, to strengthen our expertise in the field, to provide a platform where research challenges caThis graduate seminar provides doctoral students in computer science a chance to read and discuss current research papers.
Learning objectiveIn this doctoral seminar, current research at the Institute for Visual Computing will be presented and discussed. The goal is to learn about current research projects at our institute, to strengthen our expertise in the field, to provide a platform where research challenges can be discussed, and also to practice scientific presentations.
ContentCurrent research at the IVC will be presented and discussed.
Prerequisites / NoticeThis course requires solid knowledge in the area of Computer Graphics and Computer Vision as well as state-of-the-art research.