An image is worth thousand words. That is to say: Images are very rich of information and this course aims to provide the basic understanding and algorithms to automatically extract it. The ultimate objective of computer vision is to design machine vision systems (e.g., camera sensors, computers, algorithms and robotic actuators) that can assist humans with applications to science (e.g., medicine), safety (e.g., traffic monitoring), consumer products (e.g., consumer cameras), entertainment (e.g., Microsoft Kinect, cell-phone apps), and manufacturing. This course covers the following fundamental topics in computer vision: introduction to image formation, image processing, feature detection, segmentation, multiple view geometry and 3D reconstruction, motion, face detection, object recognition and classification. Students will implement algorithms that are presented in the class and have a chance to test them first hand on images.
T3 – Advanced Information Processing |
T6 – Data Science
Upon successful completion of this class, you will be able to:
Paolo Favaro |
The course page in ILIAS can be found at https://ilias.unibe.ch/goto_ilias3_unibe_crs_2469213.html.
Schedules and Rooms
|Schedule||Tuesday, 14:15 - 17:00|
|Location||UniBE, Hauptgebäude H4|
|Evaluation type||written exam|