Marc Pollefeys: Catalogue data in Autumn Semester 2014

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 + 3UM. Gross, 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.
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 2 credits2SM. Gross, M. Pollefeys, O. Sorkine Hornung
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.
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.
Prerequisites / NoticePrerequisites:
The courses "Computer Graphics I and II" (GDV I & II) are recommended, but not mandatory.
263-5902-00LComputer Vision Information 6 credits3V + 2UM. Pollefeys, L. Van Gool
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.
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.
264-5800-03LDoctoral Seminar in Visual Computing (HS14) Information 1 credit1SM. Gross, M. Pollefeys, O. Sorkine Hornung
Abstract
ObjectiveLearn about current research results in the area of Visual Computing, practice of scientific presentations.
ContentCurrent research at the IVC will be presented and discussed.
401-0131-00LLinear Algebra Information 7 credits4V + 2UR. Glebov, M. Pollefeys
AbstractApplication oriented introduction to linear algebra (vector spaces, linear transformations, matrices) , matrix decompositions (LU, QR, eigenvalue, and singular value decomposition). Introduction to the programming environment Matlab.
ObjectiveDie Lernziele sind:
- die fundamentalen Konzepte der linearen Algebra gut zu verstehen
- in der Lage zu sein, mit Hilfe von Matlab Rechenaufgaben zu lösen
- Anwendungen der linearen Algebra in der Informatik kennenzulernen
ContentLinear Algebra:
Linear systems of equations, vectors and matrices, norms and scalar products, LU decomposition, vector spaces and linear transformations, least squares problems, QR decomposition, determinants, eigenvalues and eigenvectors, singular value decomposition, applications.
Lecture notesLecture notes "Linear Algebra" (Gutknecht) in German, with English expressions for all technical terms.
Prerequisites / NoticeThe relevant high school material is reviewed briefly at the beginning.