Marc Pollefeys: Catalogue data in Autumn Semester 2010 |
| Name | Prof. Dr. Marc Pollefeys |
| Field | Computer 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 |
| marc.pollefeys@inf.ethz.ch | |
| URL | http://www.inf.ethz.ch/personal/pomarc/ |
| Department | Computer Science |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 252-0206-00L | Visual Computing | 8 credits | 4V + 3U | M. Gross, M. Pollefeys | |
| Abstract | This 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 objective | This 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. | ||||
| Content | Course 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 notes | A 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. | ||||
| Literature | Markus Gross: Computer Graphics, scriptum, 1994-2005 | ||||
| 252-5701-00L | Advanced Topics in Computer Graphics and Vision | 2 credits | 2S | M. Pollefeys, M. Gross, R. Yang | |
| Abstract | This 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 objective | The 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. | ||||
| Content | This 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 notes | no script | ||||
| Literature | Individual research papers are selected each term. See http://graphics.ethz.ch/ for the current list. | ||||
| Prerequisites / Notice | Prerequisites: The courses "Computer Graphics I and II" (GDV I & II) are recommended, but not mandatory. | ||||
| 263-5902-00L | Computer Vision | 6 credits | 3V + 2U | M. Pollefeys, V. Ferrari, L. Van Gool | |
| Abstract | The 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 and a course project. | ||||
| Learning objective | The 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. | ||||
| Content | Camera 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 | ||||
| 401-0131-00L | Linear Algebra | 7 credits | 4V + 2U | E. Kowalski, M. Pollefeys | |
| Abstract | Application 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. | ||||
| Learning objective | |||||
| Content | Linear 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 notes | Lecture notes "Linear Algebra" (Gutknecht) in German, with English expressions for all technical terms. | ||||
| Prerequisites / Notice | The relevant high school material is reviewed briefly at the beginning. | ||||