Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Marc Pollefeys: Catalogue data in Spring Semester 2016

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
252-0579-00L3D Vision Information 4 credits3GM. Pollefeys, T. Sattler
AbstractThe course covers camera models and calibration, feature tracking and matching, camera motion estimation via simultaneous localization and mapping (SLAM) and visual inertial odometry (VIO), epipolar and mult-view geometry, structure-from-motion, (multi-view) stereo, augmented reality, and image-based (re-)localization.
ObjectiveAfter 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.
ContentThe 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.
264-5800-06LDoctoral Seminar in Visual Computing (FS16) Information 1 credit1SM. Gross, M. Pollefeys
AbstractThis graduate seminar provides doctoral students in computer science a chance to read and discuss current research papers.
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.