Marc Pollefeys: Catalogue data in Spring Semester 2019 |
| 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 | |
|---|---|---|---|---|---|
| 252-0579-00L | 3D Vision  | 4 credits | 3G | M. Pollefeys, V. Larsson | |
| Abstract | The course covers camera models and calibration, feature tracking and matching, camera motion estimation via simultaneous localization and mapping (SLAM) and visual odometry (VO), epipolar and mult-view geometry, structure-from-motion, (multi-view) stereo, augmented reality, and image-based (re-)localization. | ||||
| Objective | After attending this course, students will: 1. understand the core concepts for recovering 3D shape of objects and scenes from images and video. 2. be able to implement basic systems for vision-based robotics and simple virtual/augmented reality applications. 3. have a good overview over the current state-of-the art in 3D vision. 4. be able to critically analyze and asses current research in this area. | ||||
| Content | The goal of this course is to teach the core techniques required for robotic and augmented reality applications: How to determine the motion of a camera and how to estimate the absolute position and orientation of a camera in the real world. This course will introduce the basic concepts of 3D Vision 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 3D Vision topics, with an emphasis on robotic vision and virtual and augmented reality applications. | ||||
| 264-5800-13L | Doctoral Seminar in Visual Computing (FS19) | 1 credit | 1S | M. Gross, M. Pollefeys, O. Sorkine Hornung | |
| Abstract | This graduate seminar provides doctoral students in computer science a chance to read and discuss current research papers. | ||||
| Objective | Learn about current research results in the area of Visual Computing, practice of scientific presentations. | ||||
| Content | Current research at the IVC will be presented and discussed. | ||||