Vittorio Ferrari: Catalogue data in Autumn Semester 2016
|Name||Dr. Vittorio Ferrari|
Institut für Bildverarbeitung
ETH Zürich, ETF C 113.2
|Telephone||044 632 07 14|
|Fax||044 632 11 99|
|263-5902-00L||Computer Vision||6 credits||3V + 1U + 1A||L. Van Gool, V. Ferrari, A. Geiger|
|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.|
|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|
|Prerequisites / Notice||It is recommended that students have taken the Visual Computing lecture or a similar course introducing basic image processing concepts before taking this course.|