After successful completion of the course, students are able to estimate and also carry out development projects in the field of computer vision. Important insights concern all individual steps of a computer vision project: this starts with planning and effort estimation, includes data acquisition and data quality assessment, implementation and evaluation of the results, but also questions of interdisciplinary collaboration, as well as legal and ethical considerations.
Overview on CV Languages, Libraries and Applications
Examples from everyday research, results from CV research projects
Excursion or visit to a company in the field of computer vision.
Computer vision from an applied point of view. We will review CV projects and solutions, have a closer look on the selected programming languages, models and/or datasets and talk about their pros and cons. We will also talk about how to approach computer vision problems in a principle and in practical way. You will see that computer vision solutions rely on cross disciplinary expertise and you will learn how interdisciplinary cooperations ranging from medical doctors, police and justice, archaeologists and numismatists, care givers and elderly people on one side and computer scientists on the other side work. However we focus on technology, for example, video, RGBD or thermal cameras detect faces or certain behaviour in real-time, and we will see how this works. Other topics include depth and pose estimation as well as deep learning, one of the current "hot topics" in computer vision.
Mündliche Prüfung
Basic interest in practical solutions in the field of computer vision is recommended for the lecture.
